category: Memory

category: IoT, Security & Automotive

Computational SRAM (C-SRAM) Solution Combining In- and Near-Memory Computing Approaches
By Technical Paper Link - 23 May, 2022 - Comments: 0

New academic paper titled "Towards a Truly Integrated Vector Processing Unit for Memory-bound Applications Based on a Cost-competitive Computational SRAM Design Solution", from researchers at Univ. Grenoble Alpes, CEA-LIST. Abstract "This article presents Computational SRAM (C-SRAM) solution combining In- and Near-Memory Computing approaches. It allows performing arithmetic, logic, and co... » read more

Neurosynaptic Device That Mimics Synaptic and Intrinsic Plasticity Concomitantly In a Single cell
By Technical Paper Link - 20 May, 2022 - Comments: 0

New academic paper titled "Simultaneous emulation of synaptic and intrinsic plasticity using a memristive synapse" from researchers at Korea Advanced Institute of Science and Technology (KAIST). Abstract Neuromorphic computing targets the hardware embodiment of neural network, and device implementation of individual neuron and synapse has attracted considerable attention. The emulation of... » read more

SOT-MRAM-based CIM architecture for a CNN model
By Technical Paper Link - 09 May, 2022 - Comments: 0

New research paper "In-Memory Computing Architecture for a Convolutional Neural Network Based on Spin Orbit Torque MRAM", from National Taiwan University, Feng Chia University, Chung Yuan Christian University. Abstract "Recently, numerous studies have investigated computing in-memory (CIM) architectures for neural networks to overcome memory bottlenecks. Because of its low delay, high energ... » read more

Vertically stacked, low-voltage organic ternary logic circuits including nonvolatile floating-gate memory transistors
By Technical Paper Link - 02 May, 2022 - Comments: 0

Research paper from KAIST and Gachon University. Abstract "Multi-valued logic (MVL) circuits based on heterojunction transistor (HTR) have emerged as an effective strategy for high-density information processing without increasing the circuit complexity. Herein, an organic ternary logic inverter (T-inverter) is demonstrated, where a nonvolatile floating-gate flash memory is employed to ... » read more

Analog Edge Inference with ReRAM
By Technical Paper Link - 02 May, 2022 - Comments: 0

Abstract "As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators. Analog in-memory computing (AiMC) with emerging nonvolatile devices enable good hardware solutions, due to its high energy efficiency in accelerating the multiply-and-accumulation (MAC) operation. Herein, an Applied Materials... » read more

A Case for Transparent Reliability in DRAM Systems
By Technical Paper Link - 29 Apr, 2022 - Comments: 0

New technical paper from ETH Zurich and TU Delft. Abstract "Today's systems have diverse needs that are difficult to address using one-size-fits-all commodity DRAM. Unfortunately, although system designers can theoretically adapt commodity DRAM chips to meet their particular design goals (e.g., by reducing access timings to improve performance, implementing system-level RowHammer mitigati... » read more

Memory Bandwidth Regulation on Hybrid NVM/DRAM Platforms
By Technical Paper Link - 20 Apr, 2022 - Comments: 0

New technical paper from Shanghai Jiao Tong University Abstract "Non-volatile memory (NVM) has emerged as a new memory media, resulting in a hybrid NVM/DRAM configuration in typical servers. Memory-intensive applications competing for the scant memory bandwidth can yield degraded performance. Identifying the noisy neighbors and regulating the memory bandwidth usage of them can alleviate th... » read more

Data-driven RRAM device models using Kriging interpolation
By Technical Paper Link - 10 Apr, 2022 - Comments: 0

New technical paper from The George Washington University and NIST with support from DARPA and others. Abstract "A two-tier Kriging interpolation approach is proposed to model jump tables for resistive switches. Originally developed for mining and geostatistics, its locality of the calculation makes this approach particularly powerful for modeling electronic devices with complex behavior la... » read more

Memristive synaptic device based on a natural organic material—honey for spiking neural network in biodegradable neuromorphic systems
By Technical Paper Link - 06 Apr, 2022 - Comments: 0

New academic paper from Washington State University, supported by a grant from the National Science Foundation. Abstract: "Spiking neural network (SNN) in future neuromorphic architectures requires hardware devices to be not only capable of emulating fundamental functionalities of biological synapse such as spike-timing dependent plasticity (STDP) and spike-rate dependent plasticity (SRDP),... » read more

An adaptive synaptic array using Fowler–Nordheim dynamic analog memory
By Technical Paper Link - 29 Mar, 2022 - Comments: 0

Abstract "In this paper we present an adaptive synaptic array that can be used to improve the energy-efficiency of training machine learning (ML) systems. The synaptic array comprises of an ensemble of analog memory elements, each of which is a micro-scale dynamical system in its own right, storing information in its temporal state trajectory. The state trajectories are then modulated by a sys... » read more

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