category: Memory

category: IoT, Security & Automotive

Fully CMOS-compatible Ternary Inverter with a Memory Function Using Silicon Feedback Field-Effect Transistors (FBFETs)
By Technical Paper Link - 02 Aug, 2022 - Comments: 0

New technical paper titled "New ternary inverter with memory function using silicon feedback field-effect transistors" was published from researchers at Korea University. Abstract: In this study, we present a fully complementary metal–oxide–semiconductor-compatible ternary inverter with a memory function using silicon feedback field-effect transistors (FBFETs). FBFETs operate with a pos... » read more

Edge-AI Hardware for Extended Reality
By Technical Paper Link - 20 Jul, 2022 - Comments: 0

New technical paper titled "Memory-Oriented Design-Space Exploration of Edge-AI Hardware for XR Applications" from researchers at Indian Institute of Technology Delhi and Reality Labs Research, Meta. Abstract "Low-Power Edge-AI capabilities are essential for on-device extended reality (XR) applications to support the vision of Metaverse. In this work, we investigate two representative XR w... » read more

Reduce RowHammer Vulnerability By Reducing Wordline Voltage
By Technical Paper Link - 18 Jul, 2022 - Comments: 0

Researchers from ETH Zurich present a new technical paper titled "Understanding RowHammer Under Reduced Wordline Voltage: An Experimental Study Using Real DRAM Devices." Abstract (Partial) "This is the first work to experimentally demonstrate on 272 real DRAM chips that lowering VPP reduces a DRAM chip's RowHammer vulnerability. We show that lowering VPP 1) increases the number of activat... » read more

DRAM Chips That Employ On-Die Error Correction & Related Reliability Techniques
By Technical Paper Link - 16 Jul, 2022 - Comments: 0

This new PhD thesis paper titled "Enabling Effective Error Mitigation in Memory Chips That Use On-Die Error-Correcting Codes" from ETH Zurich researcher Minesh Patel won the IEEE  William C. Carter Award in June 2022. Abstract "Improvements in main memory storage density are primarily driven by process technology scaling, which negatively impacts reliability by exacerbating various circu... » read more

SW/HW Framework for for GASNet-enabled FPGA Hardware Acceleration Infrastructure
By Technical Paper Link - 14 Jul, 2022 - Comments: 0

Researchers from KAIST and Flapmax published a new technical paper titled "FSHMEM: Supporting Partitioned Global Address Space on FPGAs for Large-Scale Hardware Acceleration Infrastructure." Abstract "By providing highly efficient one-sided communication with globally shared memory space, Partitioned Global Address Space (PGAS) has become one of the most promising parallel computing model... » read more

3 Emerging Technologies: Memristors, Spintronics & 2D Materials
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

New technical paper titled "Memristive, Spintronic, and 2D-Materials-Based Devices to Improve and Complement Computing Hardware" from researchers at University College London and University of Cambridge. Abstract "In a data-driven economy, virtually all industries benefit from advances in information technology—powerful computing systems are critically important for rapid technological pr... » read more

Sibyl, a lightweight, reinforcement learning-based data placement technique for hybrid storage systems (ETH Zurich)
By Technical Paper Link - 06 Jul, 2022 - Comments: 0

New research paper titled "Sibyl: Adaptive and Extensible Data Placement in Hybrid Storage Systems Using Online Reinforcement Learning" from researchers at ETH Zurich, Eindhoven University of Technology, and LIRMM, Univ. Montpellier, CNRS. Abstract "Hybrid storage systems (HSS) use multiple different storage devices to provide high and scalable storage capacity at high performance. Recent r... » read more

MEMprop: Gradient-based Learning To Train Fully Memristive SNNs
By Technical Paper Link - 04 Jul, 2022 - Comments: 0

New technical paper titled "Gradient-based Neuromorphic Learning on Dynamical RRAM Arrays" from IEEE researchers. Abstract "We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger naturally arising voltage spikes. These spikes emitted by memristive dynamics are anal... » read more

HBM-based scalable multi-FPGA emulator for Quantum Fourier Transform (QFT)
By Technical Paper Link - 01 Jul, 2022 - Comments: 0

New technical paper titled "A Scalable Emulator for Quantum Fourier Transform Using Multiple-FPGAs With High-Bandwidth-Memory" from researchers at Tohoku University in Japan. Abstract: "Quantum computing is regarded as the future of computing that hopefully provides exponentially large processing power compared to the conventional digital computing. However, current quantum computers do not... » read more

End to End System Design for DRAM-based TRNG
By Technical Paper Link - 22 Jun, 2022 - Comments: 0

Research paper titled "DR-STRaNGe: End-to-End System Design for DRAM-based True Random Number Generators" is presented from researchers at TOBB University of Economics and Technology and ETH Zurich. Abstract "Random number generation is an important task in a wide variety of critical applications including cryptographic algorithms, scientific simulations, and industrial testing tools. True ... » read more

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