Alleviating the DRAM Capacity Bottleneck in Consumer Devices with NVMs


A new technical paper titled "Extending Memory Capacity in Modern Consumer Systems With Emerging Non-Volatile Memory: Experimental Analysis and Characterization Using the Intel Optane SSD" was published by researchers at ETH Zurich, University of Illinois Urbana-Champaign, Google, and Rivos. Abstract Excerpt "DRAM scalability is becoming a limiting factor to the available memory capacity in... » read more

Novel NVM Devices and Applications (UC Berkeley)


A dissertation titled “Novel Non-Volatile Memory Devices and Applications” was submitted by a researcher at University of California Berkeley. Abstract Excerpt "This dissertation focuses on novel non-volatile memory devices and their applications. First, logic MEM switches are demonstrated to be operable as NV memory devices using controlled welding and unwelding of the contacting electro... » read more

Microarchitectural Side-Channel Attacks And Defenses on NVRAM DIMMs


A new technical paper titled "NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems" was published by researchers at UC San Diego, Purdue University, and UT Austin. This paper was included at the recent 32nd USENIX Security Symposium. Abstract: "We study microarchitectural side-channel attacks and defenses on non-volatile RAM (NVRAM) DIMMs. In this study, we first perform r... » read more

Exploring The World Of Flash Memory: Serial, Dual, Quad, And Octal Interface


By Dharini SubashChandran and Manoj Kachadiya In the world of digital data storage, flash memory has become an indispensable technology. Flash memory devices are non-volatile storage solutions that can retain data even without power. They are widely used in various applications, including smartphones, digital cameras, USB drives, and solid-state drives (SSDs). In this blog post, we will delv... » read more

How eMRAM Addresses The Power Dilemma In Advanced-Node SoCs


By Rahul Thukral and Bhavana Chaurasia Our intelligent, interconnected, data-driven world demands more computation and capacity. Consider the variety of smart applications we now have. Cars can transport passengers to their destinations using local and remote AI decision-making. Robot vacuum cleaners keep our homes tidy, and smartwatches can detect a fall and call emergency services. With hi... » read more

Co-Design View of Cross-Bar Based Compute-In-Memory


A new review paper titled "Compute in-Memory with Non-Volatile Elements for Neural Networks: A Review from a Co-Design Perspective" was published by researchers at Argonne National Lab, Purdue University, and Indian Institute of Technology Madras. "With an over-arching co-design viewpoint, this review assesses the use of cross-bar based CIM for neural networks, connecting the material proper... » read more

Research Bits: Oct. 18


Modular AI chip Engineers at the Massachusetts Institute of Technology (MIT), Harvard University, Stanford University, Lawrence Berkeley National Laboratory, Korea Institute of Science and Technology, and Tsinghua University created a modular approach to building stackable, reconfigurable AI chips. The design comprises alternating layers of sensing and processing elements, along with LEDs t... » read more

What’s In A Name(space)? Optimizing SSD Controller Performance And Verification


Solid state drives (SSDs) have come to the forefront as a promising solution for today and tomorrow’s immense data transfer and storage demands. And SSDs themselves are constantly evolving with upgrades of their critical components to provide higher access speeds. One such component for the NVMe specification is created by the division of non-volatile memory (NVM) into what are commonly known... » read more

A Framework For Ultra Low-Power Hardware Accelerators Using NNs For Embedded Time Series Classification


In embedded applications that use neural networks (NNs) for classification tasks, it is important to not only minimize the power consumption of the NN calculation, but of the whole system. Optimization approaches for individual parts exist, such as quantization of the NN or analog calculation of arithmetic operations. However, there is no holistic approach for a complete embedded system design ... » read more

SOT-MRAM To Challenge SRAM


In an era of new non-volatile memory (NVM) technologies, yet another variation is poised to join the competition — a new version of MRAM called spin-orbit torque, or SOT-MRAM. What makes this one particularly interesting is the possibility that someday it could supplant SRAM arrays in systems-on-chip (SoCs) and other integrated circuits. The key advantages of SOT-MRAM technology are the pr... » read more

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