Dell, EMC, Dell Technologies, Cisco,

Showing posts with label MRAM. Show all posts
Showing posts with label MRAM. Show all posts

Tuesday, January 16, 2018

Evolution of Real-Time Applications Calls for Novel Memory Technologies

We are now beginning to see the emergence of a range of technologies that will lead to major changes in the design of real-time embedded systems. These technologies include the Internet of Things ( #IoT), #artificialintelligence ( #AI ) and #augmentedreality ( #AR ). The unifying thread between all of them is a greater focus on the use of distributed systems coupled with a need for high performance to deal with the data they generate and consume. There are tensions that pull the engineering of real-time devices employing such technologies in different directions. Edge devices such as IoT sensor nodes and gateways call for the lowest-power operation. But this is not the only area that needs energy efficiency. Despite their reliance on high-performance graphics and responsiveness to movement, AR-enabled systems (such as head-up displays for machine operators) also have to preserve as much energy as possible, protecting battery life and preventing head-mounted displays from becoming uncomfortably warm. Similarly, versatile robots enabled by AI need to be able to operate away from mains power. Distributed processing allows intensive computational work to be moved to the cloud and so offload the embedded systems. However, the real-time nature of these applications calls for low latency. Applications such as motion control and AR suffer if the delay from input to response is too long. This issue is leading to the deployment of edge computing server or ‘cloudlets’ - efficient server blades located relatively close to the edge devices themselves. To support real-time applications such cloudlets are in a position to take advantage of changes in memory technology to better fit the real-time nature of the clients they serve than traditional server designs. Historically, engineers have been forced to choose between performance and persistence when designing bulk memories into real-time computer systems. DRAM is cost-effective for storing large amounts of data close to the processor but is volatile. To ensure data is not lost through power issues - which are more likely to occur in edge nodes - data often has to be copied to persistent storage, which have often much slower access times. The move from rotating disk drives to flash memory for larger applications has already helped significantly when it comes to read access times. But flash still has its drawbacks when it comes to write performance. The erasing and rewriting of data from/to flash memory takes multiple cycles during which high-voltage pulses are delivered to the target memory cells. That takes both time and energy that system designers do not want to waste. Next generation memory technologies are now appearing that overcome the write delays and power demands of flash. These technologies include #ferroelectricmemory, #phasechangememory ( #PCM), #magneticrandomaccessmemory ( #MRAM) and #resistiverandomaccessmemory ( #ReRAM). As devices based on these concepts become available, engineers can consider using them in novel memory hierarchies that optimise cost, increase resilience and improve real-time responsiveness. PCM was first put forward as a possible memory material as long ago as the 1970s. It is based on the same group of chalcogenide materials as those used in rewritable optical disks. A useful feature of the chalcogenides is the way they react to heat. High-current pulses will melt the material. If left to cool quickly it turns to a resistive amorphous state. But the amorphous state can be converted to a crystalline form with a much higher conductivity by applying a small amount of heat. Thanks to this change in properties, readout circuitry can interpret the difference in resistivity between cells as representing ones and zeros. Though similar in behaviour to PCM, with the same core approach of switching between high-resistance and low-resistance states, ReRAM uses different materials to chalcogenide. Typically, the movement of ions within the cell under the influence of pulses of current forms conductive filaments. Reset pulses disrupt these filaments, greatly increasing resistance. One potential advantage of ReRAM is that a large number of candidate materials could be chosen to implement them. This provides the scope for manufacturers to introduce memories with different levels of resilience and storage time. Although these memories use current pulses, the total charge required to program a cell is much lower than that required for flash. In the memories being developed today, ReRAM requires less write energy than PCM but the write times are similar. However, endurance is better in PCM than ReRAM and PCM currently lies further ahead on the development path. Experts believe both PCM and ReRAM will scale better than flash in the long term and so could ultimately supplant flash entirely. Ferroelectric memory and MRAM use the spin properties of electrons for storage. The spin can be controlled with very little energy through a spin-valve structure similar to that used in high-density read heads for magnetic disks. In an MRAM, this spin valve is made from a sandwich of materials formed in a via that lies between two metal interconnect lines on the surface of an integrated circuit (IC). The valve alters the resistance of the via based on the spin states of different materials in the sandwich. Ferroelectric memory has been available for several decades but in comparatively low densities to those envisaged for the resistance-based memories. Ferroelectric memory requires both a capacitor and transistor to be formed on the base layer of the wafer. The other memories are all formed in the metal interconnect layers and, potentially, can be stacked for higher integration. A key advantage for ferroelectric memory is its use of materials that polarise in two different directions based on an applied electric field. This polarisation requires even less power than is needed for MRAM, which makes it suitable for systems that need to be highly energy efficient. A potential problem for all the novel memories today is that they lack the cost-effectiveness and density of flash, which is now beginning to take advantage of 3D manufacturing techniques. In reality, for cloudlets and also edge devices themselves, the density is not a major issue as these memories can serve as the underpinning for persistent caches. The low-power and relatively fast write times of the novel memories provides applications with the ability to copy important data to the persistent cache. Data objects that need to be stored permanently can, from there, be copied to flash or disk storage. However, there is no longer any need to transfer data to flash or disk storage continually just to ensure that important but transient data is not lost. When the system restarts, it can recover its state from combining data in both the permanent and persistent arrays. As costs come down and performance improves, there is the potential for MRAM, PCM or ReRAM to begin to displace DRAM and so move the architecture to one in which only the caches on the processors themselves employ a volatile memory architecture (such as SRAM). Persistent memory technologies need not be isolated to cloudlets and high-performance systems. The use of ferroelectric memory by Texas Instruments in its MSP430 line of microcontrollers provides an example of the impact it can have in IoT edge nodes such as sensors. Many IoT applications will rely on energy harvesting to at least supplement a built-in battery. Some may dispense with the battery altogether. The problem with energy harvesting is one of reliability. There are situations, such as vibrational energy capture on heavily used industrial machinery, where the power source is predictable. But in many cases, even with the use of a supercapacitor for an energy reservoir, the system may run temporarily short of power and need to shut down. When enough external energy is supplied, it can resume normal duties. The use of ferroelectric technology provides the microcontroller with the ability to ensure data persists through unexpected power outages without incurring an energy penalty even when data is written to it frequently. Although applications area, such as the IoT, AI and AR, will radically change real-time system architectures, new memory technologies will be able to address these demands accordingly. Through the development of MRAM, PCM, ReRAM and ferroelectric memories it will be possible for system designs to support the responsiveness and cost-effectiveness required.

https://www.google.com/url?rct=j&sa=t&url=http://www.newelectronics.co.uk/electronics-technology/evolution-of-real-time-applications-calls-for-novel-memory-technologies/167221/&ct=ga&cd=CAEYACoUMTQ1NTM4MzM4MzcxNzE0NTkyNDAyGmFmMWQ2ZWJlOWM3NGYzNTk6Y29tOmVuOlVT&usg=AFQjCNEQX08rNWOr5tlPh9oAi7XWY04dLw

Thursday, January 4, 2018

Memory Boom Propels Samsung Past Intel 

The turbulent—and profitable— #memory chip market has a new leader: @Samsung Electronics has overtaken @Intel Corp. as the world's largest memory supplier, ending Intel's 25-year reign. @Gartner reported Thursday (Jan. 4) that the South Korean electronics giant surpassed Intel during 2017 in terms of market share and revenues. Overall, global chip revenues grew a healthy 22.2 percent, driven by soaring demand for memory devices. While memory prices are expected to stabilize, other chip analysts are forecasting a wave of new memory technology deployments over the next five years. Meanwhile, Gartner (NYSE: IT) cited continuing shortages of flash memory. The market watcher said Samsung (KRX: 005930) holds 14.6 percent of the $419.7 billion global semiconductor market. The Korean chipmaker's revenues grew an impressive 52.6 percent over 2016. Meanwhile, Intel's annual revenues grew a modest 6.7 percent, totaling just over $57.7 million. No. 3 chipmaker SK Hynix (KRX: 000660) grew at a brisk 79 percent, with revenues of $26.3 million. "Memory accounted for more than two-thirds of all semiconductor revenue growth in 2017, and became the largest semiconductor category," noted Andrew Norwood, Gartner's research vice president. Samsung's dominance of the global chip business is not expected to continue as memory prices weaken and Chinese memory production kicks in over the next year. Gartner forecasts that NAND flash and DRAM prices have peaked and will weaken during 2018.  Gartner said Intel's datacenter server revenues grew 6 percent on the strength of demand from cloud and communications service providers. Several large chip mergers and acquisitions were announced in 2017, but Gartner notes that few if any were actually completed by year's end. Among them was Western Digital's (NASDAQ: WDC) acquisition in August of Tegile Systems, a provider of flash memory storage in datacenters. The deal reflects how all-flash storage arrays are making inroads in datacenters. Western Digital and other enterprise storage vendors are vying for a larger share of growing demand for all-flash arrays. According to the Gartner rankings, Western Digital recorded the highest annual growth rate among the top ten chip suppliers, a whopping 120.2 percent, with chip revenues totaling nearly $9.2 million. Demand for all-flash storage arrays in datacenters also propelled Western Digital from 17th to ninth place in Gartner's annual rankings. While market watchers such as Gartner forecast weakening memory prices in the coming year, others note that the so-called "next-generation memory market" is expected to take up the slack as more data is crunched by in-memory platforms. For example, Dublin-based Markets and Research pegs the next-generation memory market at $2.35 billion, and forecasts it will grow at an annual rate of 26.5 percent to $9.68 billion by 2023. The main drivers are big data demand for in-memory processing, increasing demand for enterprise storage of big data and growing requirements for more bandwidth and scalable memory technologies for AI and Internet of Things applications. A range of emerging non-volatile memory technologies are expected to fuel demand, the market watcher said, including magneto-resistive, or MRAM, along with emerging memory technologies like 3-D XPoint memory being rolled out by Intel (NASDAQ: INTC) and development partner Micron Technology (NASDAQ: MU).

https://www.enterprisetech.com/2018/01/04/memory-boom-propels-samsung-past-intel/

Wednesday, January 3, 2018

A New Memory Contender?

Momentum is building for a new class of #ferroelectricmemmories that could alter the next-generation memory landscape. Generally, ferroelectrics are associated with a memory type called ferroelectric RAMs ( #FRAM s ). Rolled out by several vendors in the late 1990s, FRAMs are low-power, nonvolatile devices, but they are also limited to niche applications and unable to scale beyond 130nm. While FRAMs continue to ship, the industry has also been developing a different memory type called a ferroelectric FET (FeFET). Instead of using traditional FRAM materials, FeFETs and related technologies harness the ferroelectric properties in hafnium oxide, sometimes referred to as ferroelectric hafnium oxide. (FeFETs are different than a logic transistor type called finFETs). Still in the R&D stage, a FeFET isn’t a new device, per se. For FeFETs, the idea is to take an existing logic transistor with a high-k/metal-gate stack based on hafnium oxide, and then to modify the gate insulator with ferroelectric properties. The resulting structure is the same transistor with a scalable, embedded FeFET memory with low-power and nonvolatile properties. In theory, that should outperform today’s embedded flash memories. Fig. 1: How to make a FeFET. Source: Ferroelectric Memory Co. Others are working on different types of FeFET-based, nonvolatile devices. It sounds like a simple concept, but there are several challenges, such as integration issues, data retention, reliability and cost. “(FeFETs are) promising, but it’s still early,” said Greg Wong, an analyst with Forward Insights. There are other challenges as well. “For a new emerging memory technology, the toughest part is to get credibility and confidence on the customer side that your solution is real,” said Stefan Müller, chief executive of Ferroelectric Memory Co. (FMC), a startup that is developing FeFETs. Still, FeFETs and related technologies are gaining steam. Here are the most recent developments in the arena: • GlobalFoundries, FMC, NaMLab, Fraunhofer and others have reached a major milestone by demonstrating an embedded, nonvolatile FeFET in a 22nm FD-SOI process. The technology is slated for qualification in 2019, although there is no timetable for production. • Imec is developing a scheme that would replace current DRAM materials with ferroelectric hafnium oxide, creating a new class of nonvolatile DRAM-like memories. In addition, Imec is also developing a stacked ferroelectric device that resembles a 3D NAND. • SK Hynix, Lam Research, Versum and others recently presented a paper on the switching mechanisms of such devices, of which the group calls a 1T-FeRAM and a 3D FeNAND. • A growing number of groups are exploring ferroelectric hafnium oxide for a next-generation logic transistor type, commonly referred to as a negative-capacitance field-effect transistor (NC-FET). NC-FETs are a potential transistor candidate for 3nm and beyond. 3D FeNAND, ferroelectric DRAMs and NC-FETs are still in the early stages of R&D, and it’s too soon to say if these technologies will ever make it into production. The big proving ground is the FeFET being developed by GlobalFoundries, FMC and others. If it flies, the FeFET joins a crowded field in the next-generation memory market. Other new memory types, such as 3D XPoint, Magnetoresistive RAM, ReRAM and even traditional FRAM, are shipping. Potentially, FeFETs will compete with some but not all of these technologies. Next-gen memory race For years, the industry has been developing the next-generation memory types and for good reason—the traditional memories have an assortment of limitations. For example, DRAM, which is used as the main memory in systems, is fast and cheap. But DRAM is volatile. It loses data when the power is turned off in a system. NAND and NOR flash memory are also cheap. Flash is nonvolatile and stores the data even when the power is off. In operation, though, flash undergoes several read/write cycles, which is a slow process. This is where the new memories fit. Generally, the next-generation memory types are fast, nonvolatile and provide unlimited endurance. They also provide bit-alterable, erase-free functions, making them potentially ideal replacements for DRAM and flash. But these new memories also rely on exotic materials and complicated switching mechanisms, so they have taken longer to develop. At the same time, the industry continues to scale DRAM and flash, making it difficult for the new memory types to get a foothold in the market. Still, the industry is beginning to ramp up some of the new memory types. Here is a simple explanation of the landscape: • Intel and Micron are ramping up 3D XPoint, a next-generation technology based on phase-change memory. 3D XPoint is a standalone device, which is used to speed up the operations in a solid-state drive (SSD). • Everspin and others are developing a next-generation MRAM technology called spin-transfer torque magnetoresistive RAM (STT-MRAM). Used for embedded or standalone applications, STT-MRAM uses the magnetism of electron spin to provide nonvolatile properties in chips. • Several vendors and foundries are developing resistive RAM (ReRAM) for standalone and embedded apps. In ReRAM, a voltage is applied to a material stack, creating a change in the resistance that records data in the memory. • Cypress, Fujitsu, Panasonic, TI and others are shipping microcontrollers (MCUs) with embedded FRAM. Fig. 2: Spin torque MRAM technology. Source: Everspin Fig. 3: ReRAM in action. Source: Adesto FRAMs are widely misunderstood, as ferroelectric materials are not ferromagnetic. “[Ferroelectric memory] writes an application using an electric field only and no current flow,” FMC’s Müller explained. “All of the other emerging memory concepts, like resistive RAM, phase-change memory, and MRAM all write by driving a current through the memory cell.” The FRAM is based on a(one transistor, one capacitor (1T-1C) storage cell design. Using a ferroelectric capacitor to store data, FRAM is a low-power, nonvolatile memory with unlimited endurance, making it ideal for various embedded chip applications. Typically, FRAMs consist of a thin ferroelectric film, based on lead zirconate titanate (PZT). “The atoms in the PZT change polarity in an electric field, thereby producing a power efficient binary switch,” according to Cypress. Fig. 4: Traditional FRAM. Source: Cypress FRAMs have some issues, however. “The classical FRAM is exotic from the materials point of view,” Müller said. “FRAM has not scaled beyond the 130nm technology node due to the fact that only planar capacitors can be used and the traditional ferroelectric films are not scalable. This has prevented traditional FRAM from widespread adoption.” With FeFET, which is different than traditional FRAM, proponents hope to solve these issues. Several years ago the industry stumbled upon a new discovery, namely the ferroelectricity properties in hafnium oxide. Researchers discovered a crystal phase can be stabilized in the process of doping hafnium oxide. “Within that crystal phase, the oxygen atoms of hafnium oxide can reside in two stable positions, shifting either up or down according to the polarity of an externally applied electric field,” according to FMC. Hafnium oxide is a well-understood material. For some time, chipmakers have used hafnium oxide as the gate stack material for high-k/metal-gate structures in logic devices at 28nm and beyond. For FeFETs, the idea is to leverage properties of ferroelectric hafnium oxide rather than to create a new device architecture using exotic materials. In FMC’s technology, for example, the ideal is to take an existing transistor. Then, using a deposition process, a silicon-doped hafnium oxide material is deposited into the gate stack of the transistor, creating a ferroelectric property. FMC’s scheme also eliminates the need for a capacitor, enabling a one transistor memory cell or a 1T-FeFET technology. “In FeFETs, a permanent dipole is formed within the gate dielectric itself, splitting the threshold voltage of the ferroelectric transistor into two stable states,” Müller said. “Accordingly, binary states can be stored in the FeFETs similar to how it is done in a flash memory cell.” Fig. 5: FeFET (n-type functionalty). When the ferroelectric polarization points downward (left), electrons invert the channel region, permanently bringing the FeFET into the “on” state. If polarization points up (middle), permanent accumulation is created and the FeFET is in the “off” state. Source: FMC. In theory, the technology is compelling. “You have hafnium oxide in every cutting-edge transistor. It’s the gate dielectric,” he said. “If you do it cleverly and modify the hafnium oxide, you can actually transition your logic transistor, which loses a state when you remove the power, into a nonvolatile transistor. It remains in state when the power is removed.” FeFETs are still in R&D and not ready for prime time. But if it does work, customers would have yet another choice in the next-generation memory world. 3D XPoint, FRAM, MRAM, ReRAM and others are also in the arena. So which new memory technology will prevail? That’s not entirely clear, because no one memory can handle all requirements. Each new memory type has its place. And the new memory types are taking some sockets away from traditional memories. But by and large, traditional DRAM and NAND continue to dominate the memory hierarchy. Fig. 6: Memory hierarchy Source: Imec Embedded memory wars In the memory space, the emerging battle is taking place in the embedded market. Today’s MCUs integrate several components on the same chip, such as a CPU, SRAM and embedded memory. The CPU executes the instructions. SRAM is integrated on the chip to store data. Embedded memory, such as EEPROM and NOR flash, are used for code storage and other functions. “With EEPROM, each bit is two transistors. And each byte can be erased or re-programmed,” said Jim Handy, an analyst with Objective Analysis, in a recent interview. “On each block (with NOR flash), we have one huge transistor that does the erase for all of the bits on the block. A huge transistor still saves a lot of chip space, compared to two transistors per bit.” Embedded flash (eFlash) is robust, making it ideal for industrial applications. For example, automotive OEMs have stringent requirements and NOR fits the bill. “Performance-driven automotive MCUs are a driving force behind eFlash,” said Walter Ng, vice president of U.S. sales at UMC. NOR has some limitations, as the write speeds are slow. NOR is also becoming more expensive as it moves from 40nm to 28nm. And it’s unclear if NOR can scale beyond 28nm. Suppliers of next-generation memories hope to fill the void. “Emerging RAMs seemingly provide a possible solution,” Ng said. “Yet, it remains to be seen how such technologies will be received by the automotive community.” Regardless, the embedded memory market is heating up. Several foundries—such as GlobalFoundries, Samsung, TSMC and UMC—are developing embedded STT-MRAM. In addition, SMIC, TSMC and UMC are developing embedded ReRAM. FeFET is the new kid on the block. In 2009, Fraunhofer, GlobalFoundries and NaMLab began to explore FeFETs. Later, FMC was spun out of NaMLab. In 2014, the group demonstrated a simple FeFET array based on a 28nm CMOS process. Then, at the recent IEDM conference, GlobalFoundries, Fraunhofer, NaMLab and FMC presented new results that brought FeFETs one step closer towards commercialization. The group demonstrated an embedded FeFET in a 22nm FD-SOI process. “It’s a very low-cost approach for getting a very dense type of memory,” said Gary Patton, CTO at GlobalFoundries. The FeFET, according to the IEDM paper, has a cell size as small as 0.025μm². The device consists of a 32MBit array with program/erase pulses in the 10ns range at 4.2 volts. It has a temperature retention rate up to 300 °C. Initially, FeFETs are targeted for the embedded nonvolatile memory market for consumer applications. “It is around two orders of magnitude faster in write (than traditional eFlash). We write in the 10ns regime, where flash writes in the 1ms to 10ms regime,” FMC’s Müller said. The technology is promising. “They are farther along than anyone else,” said Jan Van Houdt, a distinguished member of the technical staff at Imec. “They are going for the embedded case right away. It’s probably going to work.” FeFETs face an uphill battle in embedded memory space for automotive, where the temperature requirements are more stringent. Automotive OEMs, though, are indeed looking at STT-MRAM, as the technology can withstand higher temperatures. What’s next? For its part, Imec is developing ferroelectric technology on two fronts. One involves a new type of a nonvolatile DRAM-like device, while the other is a standalone storage device that resembles 3D NAND. DRAM is based on a 1T1C cell structure. In operation, the charge in the capacitor will leak or discharge when the transistor is turned off. So, the capacitor must be refreshed every 64 milliseconds, which, in turn, consumes power in a system. Inside DRAM’s vertical capacitor structure, there is a metal-insulator-metal (MIM) material stack. In the MIM stack, a high-k material is sandwiched between two zirconium dioxide layers. This is sometimes called the ZAZ capacitor. Imec and others are exploring the idea of replacing the zirconium dioxide material with ferroelectric hafnium oxide in the DRAM. Hafnium oxide in its ferroelectric state is similar to zirconium dioxide. With the technology, Imec is developing a ferroelectric DRAM-like device with nonvolatile properties, which does not require a refresh operation. There are challenges, of course. Scaling the vertical 1T1C capacitor is difficult for DRAM at each node. That won’t change for a ferroelectric DRAM-like device, as the device is also configured with a 1T1C cell. Fig. 7: DRAM roadmap Source: Imec Another possibility is that the industry could develop a one transistor (1T) DRAM-like device with nonvolatile properties. That is a capacitor-less ferroelectric DRAM-like device. But even with ferroelectric hafnium, ferroelectric-based DRAMs face some challenges. “The problem is that it has some endurance limitations. DRAM almost has unlimited endurance. With ferroelectrics, that has to be proven,” Imec’s Van Houdt said. Imec also is pursuing a ferroelectric device technology that resembles a 3D NAND. The technology, sometimes referred to as a 3D FeNAND, is built using a 3D NAND-based manufacturing flow. “It’s low voltage and nonvolatile. Power consumption is much lower. It would be faster, because it’s a high-k material. So your transistor is going to drive much more current than NAND,” Van Houdt said. The problem? “It’s sort of a NAND replacement. But, of course, to replace NAND is almost impossible,” he said. So if it does fly, the device could fit somewhere in the storage-class memory hierarchy. But the technology is still five to ten years away from entering the commercial market. There are other issues. For example, in a paper at IEDM, SK Hynix, Lam and others found that the actual switching speeds are slower than expected in ferroelectric hafnium oxide materials due to extrinsic disorders. SK Hynix, Lam and others found a way to control the grain size of the silicon-doped hafnium oxide, which in turn boosts the speed of the material set. “We successfully demonstrated that Si:HfO2 consists of controlled nano-grains with a FE property of Ec ~0.5MV/cm, which is a half of the ordinary Si:HfO2, and the domain switching speed reaches ~3 times faster than that of ordinary grain sized Si:HfO2,” according to the paper. What are NC-FETs? There are other applications for ferroelectric hafnium oxide. For some time, University of California at Berkeley and others continue to pursue the NC-FET, a next-generation logic transistor targeted for 3nm or beyond. Like the FeFET, the NC-FET isn’t a new device. In NC-FET, the gate stack in an existing transistor is modified with ferroelectric hafnium oxide. The film thicknesses are slightly different in an NC-FET as compared to a FeFET. “That’s why there is so much keen interest,” said Mike Chudzik, senior director of the Transistor and Interconnect Group at Applied Materials. “It’s a simple swap of a dielectric for a ferroelectric. I would put it alongside tunnel FETs.” NC-FETs are steep sub-threshold slope devices for low-power apps. It would compete more with a tunnel FET (TFET), a low-power transistor type aimed for 3nm and beyond. “Essentially, a ferroelectric is like a voltage amplifier. You put one voltage on it. Because the way it interacts, it amplifies the voltage. That’s why you get this enhanced sub-threshold slope,” Chudzik said. With the technology, UC Berkeley is exploring the idea of extending today’s finFET and FD-SOI technologies down to 2nm. UC Berkeley refers to its technologies as NC-finFET and NC-FD-SOI. To be sure, the NC-FET is still in the early stages. “There is a lot of promise and interest in it, but there are a lot of unanswered questions,” Chudzik said. In the short term, though, the FeFET is the first technology that could appear from the promising material set. This, in turn, could set off a wave of R&D in the arena. Or, like other technologies, it could simply fall by the wayside.

https://semiengineering.com/a-new-memory-contender/

Monday, December 18, 2017

The Next 5 Years Of Chip Technology

Semiconductor Engineering sat down to discuss the future of scaling, the impact of variation, and the introduction of new materials and technologies, with Rick Gottscho, CTO of Lam Research; Mark Dougherty, vice president of advanced module engineering at GlobalFoundries; David Shortt, technical fellow at KLA-Tencor; Gary Zhang, vice president of computational litho products at ASML; and Shay Wolfling, CTO of Nova Measuring Instruments. What follows are excerpts of that discussion. L-R: Shay Wolfling, Rick Gottscho, Mark Dougherty, Gary Zhang, David Shortt. Photo credit: Coventor, a Lam Research company. SE: Looking beyond 10/7nm, is it going to be a straight line to 5nm and 3nm? Is it going to be more difficult than we expect? And is it even going to be possible? Dougherty: It’s possible, and we’ve proven at multiple points in our history that it’s always possible, even if we don’t quite know how. We’ve always found a way through a variety of approaches, and I anticipate the same thing moving forward. I don’t anticipate it will be a straight line, though. It won’t be a hyperbola or an exponential line. We will get there, and there will be a variety of things the industry will uncover. Gottscho: I agree. The path to 5nm is pretty clear. FinFETs will get extended at least to 5nm. It’s possible they will get extended to 3nm. And there will be some other solution after that, whether that’s gate-all-around horizontally or vertically. There will be new materials. There also will be a lot of challenges. We know how to fabricate fins that are 150nm tall with 5nm design rules. Fabricating them is one thing. Preventing them from collapsing is a different challenge. There are a lot of challenges, but I don’t have any doubts this industry will get there, and I don’t think it will be significantly delayed. Shortt: About 30 years ago I first read an article explaining very clearly why we could never possibly make a device smaller than the wavelength of light using imaging. We all know how that turned out, and everyone who bet against optical lithography has been wrong. It always seems like you can’t project more than a couple generations out, but we always seem to be able to do it. As an inspection person, I’m astonished these devices are manufacturable. With 3D NAND, it’s astounding that we can make those. Zhang: We are hearing from our customers on the supply side that scaling has not ended yet. In terms of lithography, we are driving that very hard with EUV at new nodes, with high-NA as an extension to that on the roadmap. So in terms of printing and patterning, we do have solutions out there. There is more of a challenge in how we manage the complexity and the cost. But we will get there. Wolfling: I agree. Complexity is the key here. And the issue is really to work that in more than one way. There is room to extend finFETs. After that it will be nanosheets. Where will be the crossover? Will it be at 3nm or 2nm? At some point the industry crosses over. This is happening with EUV. It will happen with finFETs. The question is where it will happen. SE: We have some big evolutionary problems to solve, though. There are interconnects, RC delay, and a bunch of issues that no one has ever been able to solve. Is this time different, particularly for logic, both from the manufacturing and from the measurement side? Dougherty: The challenge that I see is actually the number of options. The technology we use to scale has expanded. If you go back several generations, you more or less knew the materials and basic structure you were going to use. Now, as you look ahead to 7nm and beyond, our supplier roadmaps say it could be any 1 of these 10 things. The answer is some combination of them, but there’s a lot more work that has to be done to screen down these various options at advanced nodes. We’re getting to the point where it may not be a single solution. For the longest time in this industry, everyone kind of aligned at the end of the day on the same solution. It’s possible there might be some divergence, like back-end-of-line metallurgy. Zhang: The problem is not that you will hit the wall, but that you have many roads. The question is how we explore all of them. In the beginning they can be promising, but it’s difficult to say which one will be cost-effective and which one will be manufacturable. That’s part of the investment that is required—to investigate the different materials and the different directions. I don’t think the problem is that we’re facing a wall. SE: No, but we are facing a lot of choices, right? Gottscho: But with back-end-of-line, at least in the near term—it’s a couple generations out yet—there’s a real opportunity to lower the resistance just by getting rid of the barrier. That’s easy to say, not so easy to do. But when you look at the space occupied particularly vias, it’s dominated by highly resistant material that’s serving as a diffusion barrier. If we can solve that material problem, that will buy us a couple generations at the back-end of line. The contact resistance also is a huge problem, but that’s an example where people have been very creative with an architecture that uses wrap-around contacts, high-dose surface doping, and taking special care for interface properties. These problems are hard, and I don’t doubt there will be at least a couple different solutions. I am curious about metrology, though, because that is often a gate for process development. Zhang: We were talking earlier about measuring something below an Angstrom. We are able to do that now in 3D. So metrology-wise, we do have solutions available. Whether we have solutions for everything we want to measure, that’s still a question. Shortt: What I’ve seen over the years is that the length of time it takes for end-to-end cycle time, from concept to actually shipping, has gotten longer. What we find is that we need to start earlier. We have multiple generations leapfrogging each other, and multiple generations under development at any one time. We have a number of good ideas, but we have to start earlier thinking about them and doing the technical risk reduction to figure out what works and what doesn’t—and get rid of the stuff that doesn’t work and then keep going. So the full end-to-end cost is increasing for us for inspection and metrology. But with proper management, you do the technical risk reduction at the beginning, quickly throw away the ideas that don’t work, and then keep the ones that do. SE: Another piece of logic involved in all of this is 3D NAND. We’ve already scaled up to 48 layers. Does this just keep scaling up, or are there physical limits here? Gottscho: It keeps going up for awhile. I’m pretty optimistic about the future. I don’t think you can be in the semiconductor business and not be optimistic. We see a path to 256 layers. It’s going to be very challenging to go beyond that. But there are a lot of challenges to even get to 128 layers. Stress in the films is a big deal. If wafers come out looking like potato chips, that’s not good. And when you’re trying to stack one layer on top of another, that stress becomes a big problem in terms of distortion and overlay. One of the biggest problems is etching the memory holes. This is the most challenging etch I’ve seen in my 35 years in the etch business, with alternating layers of oxide and nitride, or oxide and poly, with aspect ratios approaching 100:1. But having said that, we have a solutions road map and we’re working on three generations of technology at the same time. It’s going to scale over the next 10 years. Shortt: Do you see the future of 3D NAND doing that etch for 100 layers all in one step? Gottscho: It will be a mixture. Our strategy is to push the etch technology to the highest aspect ratio that it will go, because we believe it’s in our customers’ interest to do as many layers as you can in one pass. But whether you stack 48 or 96 or 128, sooner or later you’re going to want to push out that choice of how many layers you’re going to stack as far as possible. Wolfling: Once you start stacking, if you have three or four more generations and you stack four of them together, it’s not cost-effective. The more you can push the etching, the more you buy time for this direction. SE: The other critical piece of the von Neumann architecture is DRAM. Can we go further with 1x technology to 1y, or do we need to move to some other technology such as phase change memory or STT-RAM? Zhang: Our customers are marching down the path of 1x, 1y, 1z, and trying to squeeze out another nanometer. That’s been the case in the past couple years, and that will continue. As to how far we will go with that, we haven’t really seen another device on the horizon that will replace DRAM. We do see XPoint coming up as another viable memory solution that could be inserted into the current memory architecture. It will be interesting to see how that plays out versus DRAM. Dougherty: But do you think it’s a matter of time with some alternative? There’s certainly a lot of work being done on all these different memories, though we don’t know what the intersection point is. Zhang: That’s why folks are working on XPoint and other memories and seeing how far they can push that from a cost, performance and endurance standpoint. How that can match up to DRAM levels remains to be seen. Shortt: We saw predictions at KLA-Tencor that 3D NAND would have taken over earlier, but with 3D NAND they were able to push that another generation or two beyond what a lot of people expected. That delayed the onset of 3D. The same will happen with DRAM. They’ll push it as far as they can. Gottscho: I see a difference between DRAM and the 2D/3D NAND dynamic in the sense that 3D NAND was ready before 2D NAND ran out of gas. Right now it doesn’t appear as if there is a replacement for DRAM. Whether it’s STT-RAM or phase-change memory or resistive RAM, none of them can match the speed or endurance of DRAM. Necessity is the mother of invention, and we see at least two more generations after 1x. We are hearing about 1a. DRAM still has life in it, but it’s getting tougher. MRAM will probably come in as an embedded memory element in logic. It doesn’t look like a viable replacement for high-density DRAM. Shortt: We’re also not seeing a lot of demand for yet for inspection of these new structures. You would think we’d see that early. We’ve seen a little bit, but not much.

https://semiengineering.com/the-next-5-years-of-chip-technology/

Wednesday, December 13, 2017

MRAM could one day break modern encryption methods

 Now imagine if there were hardware that could actually run in reverse. It would be almost trivial to obtain the original input. Engineers from Purdue University and University of California at Berkeley have taken us one step closer to this possibility. With the help of simulations, circuits have been designed to have an adjustable degree of randomness. The device has been named a p-bit to note the controlled probability of the output. Several common problems in computer science have been solved using methods based on probability such as the traveling salesman problem. P-bits can be combined to build logic gates and arithmetic circuits capable of performing inverse operations. Circuits that act as adders can be made to perform subtractions while multiplier circuits can factor out products.  Pushing a stream of random bits into the output of a logic gate will cause the inputs of the gate to reveal what inputs would produce the output presented. With enough combinations fed through a circuit in reverse, the original input data can be found exponentially faster than traditional brute force methods. Unfortunately for the engineers working on the project, p-bits are not a commercially available component that can be dropped into a circuit. In fact, they did not exist at all. As with any prestigious research effort, the team found a way to work with the resources available to design a functional p-bit. Attaching a magnetic RAM cell to a transistor turned out to work. Luckily, TSMC and GlobalFoundries are now both offering MRAM for sale. Professor Supriyo Datta of Purdue University will lead the team to continue research efforts on building circuits capable of reverse computing. At this time, the group of engineers is attempting to gain access to a foundry able to build MRAM with custom specifications.

https://www.google.com/amp/s/www.techspot.com/amp/news/72272-mram-could-one-day-break-modern-encryption-methods.html#ampshare=https://www.techspot.com/news/72272-mram-could-one-day-break-modern-encryption-methods.html

Sunday, November 12, 2017

Global Magneto Resistive RAM (MRAM) Market Projected to Grow +40% by 2025 Analysis by Application (Consumer Electronics, Robotics, Automotive, Enterprise Storage, Aerospace), By Type (Toggle, Spin-Transfer Torque) & Key Players like Everspin Technologies Inc. (U.S), Avalanche Technologies, Spin Transfer Technologies

The Global Magneto Resistive RAM (MRAM) Market size was valued at USD 307.5 million in 2016 and is presumed to gain traction over the forecast period. CAGR exceeding +40% by 2025. MRAM or Magneto-resistive random-access memory technology has been under development since the 1990s. MRAM is a non-volatile random access memory technology that utilizes magnetic charges for storing data instead of electric charges as in the case of DRAM (dynamic random access memory) and SRAM (static random access memory) technologies. Unlike DRAM and SRAM technologies, that requires constant flow of electricity to maintain data integrity, MRAM retains data even if power is turned off and requires very less amount of electricity in order to store data bits in it. Get Sample Report @ https://www.researchnreports.com/request_sample.php?id=72786 MRAM exceed performance, when compared to traditional NAND, and are much faster, consume lesser power, and are capable of retaining data, even in the absence of power. These memories provide immense scope for growth and have rapid reading and writing capabilities, as compared to DRAMs and SRAMs. Key Players Profiled in The Global #MagnetoResistive RAM ( #MRAM ) Market in this Report are:  @Everspin Technologies Inc. (U.S), @Avalanche Technologies (U.S) and @Spin Transfer Technologies (U.S). Regions Covered: United States, North America, China, Europe, Japan, Southeast Asia and India. The competitive landscape of the market has been examined on the basis of market share analysis of key players. Detailed market data about these factors is estimated to help vendors take strategic decisions that can strengthen their positions in the market and lead to more effective and larger stake in the global Magneto Resistive RAM (MRAM) market. Get Reasonable Discount on this Report: https://www.researchnreports.com/ask_for_discount.php?id=72786 The report presents an estimation of the overall market size in terms of value (US$) and in volume (kilo tons) and talks about the key segments and the geographical subdivisions of the Global Magneto Resistive RAM (MRAM) market research report 2016 in details. It presents in-depth information on the development trends and the policies and regulations, concerning this market research report 2016, implemented in each of the geographical segments. All the way through this report, the core dynamic factors of the Magneto Resistive RAM (MRAM) market were acknowledged and the commercial partners, end users were also worked out. The business segment organization, business configurations and encounters of this market internationally are also a part of this widespread analysis. The publication has estimated the sales forecast values for the Global Magneto Resistive RAM (MRAM) Market for the period 2016–2025. The forecast of the sales growth of the market sales has also been calculated on the basis of type, application, and region. A section on the evaluation of market effect factors has shed light upon some of the most crucial aspects such as an environmental change due to economic or political reasons, change in consumer preference, and technological evolution in associated sectors.

http://www.military-technologies.net/2017/11/12/global-magneto-resistive-ram-mram-market-projected-to-grow-40-by-2025-analysis-by-application-consumer-electronics-robotics-automotive-enterprise-storage-aerospace-by-type-toggle-spin-tran/

Friday, September 8, 2017

Fast magnetic writing of data

In 1956, IBM introduced the first magnetic hard disc, the RAMAC. ETH researchers have now tested a novel magnetic writing technology that could soon be used in the main memories of modern computers. (Photograph: IBM) Abstract: For almost seventy years now, magnetic tapes and hard disks have been used for data storage in computers. In spite of many new technologies that have been developed in the meantime, the controlled magnetization of a data storage medium remains the first choice for archiving information because of its longevity and low price. As a means of realizing random access memories (RAMs), however, which are used as the main memory for processing data in computers, magnetic storage technologies were long considered inadequate. That is mainly due to its low writing speed and relatively high energy consumption. Fast magnetic writing of data Zurich, Switzerland | Posted on September 7th, 2017 Pietro Gambardella, Professor at the Department of Materials of the ETH Zurich, and his colleagues, together with colleagues at the Physics Department and at the Paul Scherrer Institute (PSI), have now shown that using a novel technique, magnetic storage can still be achieved very fast and without wasting energy. Magnetization inversion without coils In traditional magnetic data storage technologies, tape or disk data carriers coated with a cobalt alloy are used. A current-carrying coil produces a magnetic field that changes the direction of magnetization in a small portion of the data carrier. Compared to the speeds of modern processors, this procedure is very slow, and the electric resistance of the coils leads to energy loss. It would, therefore, be much better if one could change the magnetization direction directly, without taking a detour via magnetic coils. In 2011, Gambardella and his colleagues already demonstrated a technique that could do just that: An electric current passing through a specially coated semiconductor film inverted the magnetization in a tiny metal dot. This is made possible by a physical effect called spin-orbit-torque. In this effect, a current flowing in a conductor leads to an accumulation of electrons with opposite magnetic moment (spins) at the edges of the conductor. The electron spins, in turn, create a magnetic field that causes the atoms in a nearby magnetic material to change the orientation of their magnetic moments. In a new study the scientists have now investigated how this process works in detail and how fast it is. The results were recently published in the scientific journal Nature Nanotechnology. Spatial resolution with X-rays In their experiment, the researchers inverted the magnetization of a cobalt dot having a diameter of just 500 nanometres using electric current pulses that flowed through an adjacent platinum wire. During this process, they exposed the cobalt dot to strongly focused X-rays that were created at the Swiss Light Source of PSI. The X-rays scanned the dot successively with a spatial resolution of 25 nanometres. How strongly the dot absorbed the X-rays at a particular point depended on the local magnetization direction. «In this way we obtained a two-dimensional image of the magnetization inside the cobalt dot and could watch as the current pulse gradually changed it», explains Manuel Baumgartner, lead author of the study and doctoral student in Gambardella's research group. The researchers were thus able to observe that the magnetization inversion happened in less than one nanosecond - considerably faster than in other recently studied techniques. «Moreover, we can now predict on the basis of the experimental parameters when and where the magnetization inversion begins and where it ends», Gambardella adds. In other techniques the inversion is also driven by an electric current, but it is triggered by thermal fluctuations in the material, which causes large variations in the timing of the inversion. Possible application in RAMs The researchers sent up to a trillion inversion pulses through the cobalt dot at a frequency of 20 MHz without observing any reduction in the quality of the magnetization inversion. «This gives us the hope that our technology should be suitable for applications in magnetic RAMs», says Gambardella's former postdoc Kevin Garello, also a lead author of the study. Garello now works at the IMEC research centre in Leuven, Belgium, investigating the commercial realization of the technique. In a first step, the researchers would now like to optimize their materials in order to make the inversion work even faster and at smaller currents. One additional possibility is to improve the shape of the cobalt dots. For now, those are circular, but other shapes such as ellipses or diamonds could make the magnetization inversion even more efficient, the researchers say. Magnetic RAMs could, among other things, make the loading of the operating system when booting a computer obsolete - the relevant programmes would remain in the working memory even when the power is switched off.

http://www.nanotech-now.com/news.cgi?story_id=54714

Sunday, July 16, 2017

Global Magneto Resistive RAM (MRAM) Market: Expected Major Development to be Observed across the by 2022

#MagnetoResistiveRAM ( #MRAM ) Market analysis is provided for global market including development trends by regions, competitive analysis of the Magneto Resistive RAM (MRAM) market. Magneto Resistive RAM (MRAM) Industry report focuses on the major drivers and restraints for the key players. MRAM, also known as magnetoresistive RAM or magnetic RAM, is a type of non-volatile RAM memory which uses magnetic charges in order to store data. This Magneto Resistive RAM (MRAM) market report of 122 Pages speaks about the manufacturing process analysed thoroughly with respect four points Manufacturers, regional analysis, Segment by Type and Segment by Applications and the actual process of whole Magneto Resistive RAM (MRAM) industry.

http://www.satprnews.com/2017/07/14/global-magneto-resistive-ram-mram-market-expected-major-development-to-be-observed-across-the-by-2022/

Thursday, June 29, 2017

Embedded MRAM Can Take the Heat

TORONTO – On the heels of several foundries publicly announcing plans to put #MRAM into production by the end of this year and into 2018, one of them has outlined how it can significantly improve data retention for embedded applications. At the recent 2017 International Symposium on VLSI Technology, Systems and Applications in Japan, Globalfoundries outlined in a technical paper Everspin Technologies' progress with moving embedded MRAM (eMRAM) forward into the 22nm process node. In a telephone interview with EE Times, Dave Eggleston Globalfoundries' vice president of embedded memory, said the key breakthrough highlighted in the paper is the ability for eMRAM to retain data through solder reflow at 260 degrees Celsius, and for more than 10 years at 125 degrees Celsius, plus read/write with outstanding endurance at 125 degrees Celsius. This will enable eMRAM to be used for general purpose MCUs and automotive SOCs, he said. “The thermal stability has not been there for the magnetic layers. If you solve that data retention problem then it opens up much wider markets," he added. MRAM had demonstrated non-volatility, high reliability and manufacturability in previous technology nodes, Eggleston said, but has been challenged to scale to 2x nm node geometries and BEOL compatibility process temperatures for embedded memories. As outlined in the paper, the magnetic tunnel junction (MTJ) stack and integration was been optimized for a 400 degree Celsius, 60-minute post-MTJ patterning thermal budget and compatible with CMOS BEOL. The three major foundries are all introducing it as a product and customers are picking up GlobalFoundries' PDK to started designing for it, said Eggleston. The major fab equipment makers started getting involved several years ago because they believed there was enough business, so the tools are available for deposition and etch of the MTJ. “They invested and developed products in conjunction with large fabs like us and with small companies such as Everspin," Eggleston said. MCU customers, in the meantime, have started seriously looking at how MRAM can enhance their architectures, said Eggleston. “They get faster write speed and they get higher endurance," he said. This gives them the capability to use embedded MRAM where they might have previously used SRAM. Eggleston said the 2x nm node is the sweet spot in terms of circuitry simplicity and manufacturing costs.

The market opportunity for eMRAM is not dissimilar to those of other emerging memory technologies as well as incumbents: new high-volume markets include mobility, networking, data centers, Internet of Things (IoT) and automotive, said Eggleston. For Globalfoundries, the latter two are the most relevant. “We used to say they were largely the same, but as a foundry we got lots of traction in automotive," he said.

eFlash has been the incumbent embedded memory, but there are many emerging options that can potentially address these markets, said Eggleston. In addition to eMRAM, there is phase change memory (PCM), embedded Resistive RAM (eRRAM), carbon nanotube (CNT) and ferroelectric (FeFET). All have tradeoffs when it comes to retention, efficiency and speed, he said. Both CNT and FeFET show promise, but are too immature, while PCM is too specialized and fading away from embedded applications.

“MRAM and RRAM both have similar capabilities," said Eggleston. “They're both backend aligned memories so that gives you the ability to pretty easily implement them into a logic process." Processes include those that require bulk silicon, FD-SOI or FinFET. eFlash is built down into the silicon, he said, and would be more challenging to build into all of those variants.

RRAM is a simpler stack, said Eggleston, as there are fewer materials required between the electrodes. “It also doesn't require the same investment in equipment MRAM does," he said. "MRAM certainly requires unique capital equipment to do that complex stack." However, he said, RRAM hasn't shown the ability to provide the data retention, speed, and endurance balance required by the broader market.

What MRAM offers over RRAM is versatility, said Eggleston, because its material composition can be tuned between electrodes. “You can tune it either for great data retention or for really fast write speed and endurance," he said. This tuneability, he added, will enable Globalfoundries to address the space at advanced nodes previously addressed by eFlash, as well as tune it for speed for use as a non-volatile cache in server processors and storage controllers.

http://www.eetimes.com/document.asp?doc_id=1331958

Tuesday, April 25, 2017

Samsung readies MRAM

Fast RAM out on an electron spin #Samsung is about to apply #MRAM to its system semiconductor foundry services. For those who came in late, MRAM is a nonvolatile memory that uses electron spin from applying current to magnetic material and writes and reads data depending on changes in resistance value. It is as fast as DRAM but has other advantages. Samsung’s cunning plan is to use MRAM as an internal memory for system semiconductors. This means flogging the tech as Intellectual Property for its process technologies rather than selling individual product. Samsung Electronics’ Device Solution Sector’s System LSI Business Department finished producing a prototype of SoC with MRAM built inside and is carrying out business activities on its customers. At Samsung Foundry Forum Event on the 24 May, it is going to detail its process technology for MRAM embedded memory. Meanwhile NXP and Samsung Electronics have agreed on a foundry contract regarding mass-production of 28-nano FD-SOI . Starting from this year, SoC i.MX series will be mass-produced through FD-SOI process for the Internet of Things. The flash memories will be built inside of new products this year MRAM embedded memory technology will be used for next year’s next-generation SoC and MCU. The FD-SOI process uses MRAM is with Customers can choose between flash memory and MRAM through embedded memory technology. Samsung says the production cost of embedded DRAM is cheaper than production cost of flash memory. Ten sheets of masks are needed to build 45-nano flash memory inside of SoC and 20 sheets of masks are needed for 28-nano flash memory. However only three or four sheets of masks are needed for MRAM and this lowers number of processes. MRAM is also smaller than flash memory and its speed is faster than normal flash. Compared to SRAM, MRAM only takes up a third of an area. As Samsung Electronics applies MRAM to its foundry business, it is likely that this will open new memory markets. Intel and Micron already commercialized PRAM called ‘3D XPoint’.

http://www.fudzilla.com/news/memory/43475-samsung-readies-mram

Sunday, March 26, 2017

HPE Memory Pool Can Continue Application Performance Improvements

In a keynote talk at the 2017 FAST conference in Santa Clara, CA, Kimberly Keeton from #HPE spoke about Memory Driven Computing. At the same time that data demands are increasing due to #bigdata, )#IoT, #bigvideo and other drivers, microprocessor improvements (especially in processing speed) are limited by the slowing up scaling (often referred to as Moore’s Law). At the same time, data access to memory is becoming a bigger factor in overall system performance. As a consequence we need to look at a transition from processor-centric computing to memory-driven computing.

The development of new non-volatile memory options with various trade-offs between performance, data retention and endurance is leading to a new memory/storage hierarchy. Magnetic RAM ( #MRAM ), Resistive RAM ( #RRAM ) and Phase Change memory ( #PCM ) products are now available on the market offering a range of latencies.

https://www.forbes.com/sites/tomcoughlin/2017/03/26/hpe-memory-pool-can-continue-application-performance-improvements/#5df53d0c5e82

Thursday, March 9, 2017

Everspin unveils MRAM SSDs aimed at the storage accelerator market

#Intel and its #3DXPoint memory have dominated recent headlines on #NAND flash alternatives, but they’ve never been the only game in town. #Everspin, a company whose technology we’ve covered several times in the past, announced today that they will bring new #MRAM -based drives to market with new partners and commercial relationships. In theory, as we’ve discussed before, MRAM could represent a so-called ‘Holy Grail’ — a non-volatile memory solution that is lower power than DRAM while offering improved performance. MRAM is extremely reliable (much more so than NAND flash) and should be faster than NAND flash, but its storage densities are much lower. Today, Everspin’s densest chips reach 256Mb per die. That’s not particularly large compared with even planar NAND, and the advent of 3D NAND has sent flash densities soaring.

https://www.extremetech.com/computing/245592-everspin-announces-new-commercial-mram-ssds-aimed-storage-accelerator-market

Tuesday, January 3, 2017

Magneto Resistive RAM (MRAM) Market - Advanced Technologies & Growth Opportunities In Global Industry By 2024

On account of the rising demand for fast, scalable, low power consuming, and non-volatile memory devices, especially in the automotive, #enterprisestorage, and aerospace and defense sectors, the global market for magneto resistive RAM ( #MRAM ) is likely to gain significant impetus over the forthcoming years. In 2015, the worldwide MRAM market stood at US$41.2 mn. Supported by the infinite cycling endurance and high speed reading/writing capabilities of MRAM, the opportunity in this market is likely to expand at a CAGR of 44.10% between 2016 and 2024 and reach a value of US$869.7 mn by 2024.

http://www.openpr.com/news/404095/Magneto-Resistive-RAM-MRAM-Market-Advanced-Technologies-Growth-Opportunities-In-Global-Industry-By-2024.html