category: Memory

category: IoT, Security & Automotive

CXL-Based Memory Pooling System Meets Cloud Performance Goals And Significantly Reduces DRAM Cost
By Technical Paper Link - 05 Mar, 2023 - Comments: 0

A technical paper titled "Pond: CXL-Based Memory Pooling Systems for Cloud Platforms" was published by researchers at Virginia Tech, Intel, Microsoft Azure, Google, and Stone Co. Abstract "Public cloud providers seek to meet stringent performance requirements and low hardware cost. A key driver of performance and cost is main memory. Memory pooling promises to improve DRAM utilization and t... » read more

Ternary LIM Operation of the TNAND and TNOR Universal Gates Using DG Feedback FETs
By Technical Paper Link - 04 Mar, 2023 - Comments: 0

A technical paper titled "Logic-in-Memory Operation of Ternary NAND/NOR Universal Logic Gates using Double-Gated Feedback Field-Effect Transistors" was published by researchers at Korea University. Abstract "In this study, the logic-in-memory operations are demonstrated of ternary NAND and NOR logic gates consisting of double-gated feedback field-effect transistors. The component transistor... » read more

Microarchitectural Side-Channel Attacks And Defenses On Non-Volatile RAM
By Technical Paper Link - 04 Mar, 2023 - Comments: 0

A new technical paper titled "NVLeak: Off-Chip Side-Channel Attacks via Non-Volatile Memory Systems" was written (preprint) by researchers at UC San Diego, UT Austin, and Purdue University. Abstract "We study microarchitectural side-channel attacks and defenses on non-volatile RAM (NVRAM) DIMMs. In this study, we first perform reverse-engineering of NVRAMs as implemented by the Intel Optane... » read more

Review of Methods to Design Secure Memristor Computing Systems
By Technical Paper Link - 27 Feb, 2023 - Comments: 0

A technical paper titled "Review of security techniques for memristor computing systems" was published by researchers at Israel Institute of Technology, Friedrich Schiller University Jena (Germany), and Leibniz Institute of Photonic Technology (IPHT). Abstract "Neural network (NN) algorithms have become the dominant tool in visual object recognition, natural language processing, and robotic... » read more

Index-Based Multi-Core BDD Package With Dynamic Memory Management & Reduced Fragmentation
By Technical Paper Link - 26 Feb, 2023 - Comments: 0

A technical paper titled "EDDY: A Multi-Core BDD Package with Dynamic Memory Management and Reduced Fragmentation" was published by researchers at University of Bremen. ABSTRACT "In recent years, hardware systems have significantly grown in complexity. Due to the increasing complexity, there is a need to continuously improve the quality of the hardware design process. This leads designers t... » read more

In-Memory Computing: Assessing Multilevel RRAM-Based VMM Operations
By Technical Paper Link - 26 Feb, 2023 - Comments: 0

A new technical paper titled "Experimental Assessment of Multilevel RRAM-Based Vector-Matrix Multiplication Operations for In-Memory Computing" was published by researchers at IHP (the Leibniz Institute for High Performance Microelectronics). Abstract: "Resistive random access memory (RRAM)-based hardware accelerators are playing an important role in the implementation of in-memory computin... » read more

ISA and Microarchitecture Extensions Over Dense Matrix Engines to Support Flexible Structured Sparsity for CPUs (Georgia Tech, Intel Labs)
By Technical Paper Link - 24 Feb, 2023 - Comments: 0

A technical paper titled "VEGETA: Vertically-Integrated Extensions for Sparse/Dense GEMM Tile Acceleration on CPUs" was published (preprint) by researchers at Georgia Tech and Intel Labs. Abstract: "Deep Learning (DL) acceleration support in CPUs has recently gained a lot of traction, with several companies (Arm, Intel, IBM) announcing products with specialized matrix engines accessible v... » read more

HBM-Enabled FPGA-Based Graph Processing Accelerator
By Technical Paper Link - 19 Feb, 2023 - Comments: 0

A technical paper titled "ACTS: A Near-Memory FPGA Graph Processing Framework" was published by researchers at University of Virginia and Samsung. Abstract: "Despite the high off-chip bandwidth and on-chip parallelism offered by today's near-memory accelerators, software-based (CPU and GPU) graph processing frameworks still suffer performance degradation from under-utilization of available ... » read more

Review of Tools & Techniques for DL Edge Inference
By Technical Paper Link - 16 Feb, 2023 - Comments: 0

A new technical paper titled "Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review" was published in "Proceedings of the IEEE" by researchers at University of Missouri and Texas Tech University. Abstract: Successful integration of deep neural networks (DNNs) or deep learning (DL) has resulted in breakthroughs in many areas. However, deploying thes... » read more

Emulation System for Racetrack Memories Based on FPGA
By Technical Paper Link - 13 Feb, 2023 - Comments: 0

A technical paper titled "ERMES: Efficient Racetrack Memory Emulation System based on FPGA" was written by researchers at University of Calabria and TU Dresden. "This paper presents a new emulation system for RTMs based on heterogeneous FPGA-CPU Systems-on-Chips (SoCs). Thanks to its high flexibility, the proposed emulator can be easily configured to evaluate different memory architectures. ... » read more

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