Overview Of Printed And Flexible Electronics: Technology Fundamentals, Design And Practical Applications


A new technical paper titled "Computing with Printed and Flexible Electronics" was published by researchers at Karlsruhe Institute of Technology, Pragmatic Semiconductor Ltd and University of Patras. Abstract "Printed and flexible electronics (PFE) have emerged as the ubiquitous solution for application domains at the extreme edge, where the demands for low manufacturing and operational cos... » read more

Benefits Of Memory-Centric Computing (ETH Zurich)


A new technical paper titled "Memory-Centric Computing: Solving Computing's Memory Problem" was published by researchers at ETH Zurich. Abstract "Computing has a huge memory problem. The memory system, consisting of multiple technologies at different levels, is responsible for most of the energy consumption, performance bottlenecks, robustness problems, monetary cost, and hardware real esta... » read more

Main Applications And Corresponding Requirements For IMC With RRAM Devices


A new technical paper titled "Resistive Switching Random-Access Memory (RRAM): Applications and Requirements for Memory and Computing" was published by researchers at Politecnico di Milano, IUNET and Hewlett-Packard Labs. Abstract "In the information age, novel hardware solutions are urgently needed to efficiently store and process increasing amounts of data. In this scenario, memory device... » read more

A Route For More Efficient SOT-MRAM Designs (NTU, TSMC)


A new technical paper titled "Efficient Magnetization Switching via Orbital-to-Spin Conversion in Cr/W-Based Heterostructures" by researchers at National Taiwan University and TSMC. Abstract "A highly efficient spin–orbit torque (SOT) switching mechanism is crucial for the realization of practical SOT magnetic random-access memory (MRAM). This study proposes a Cr/W-based spin current sour... » read more

Investigation Of Self-Heating Effects on Fe-FinFETs On IMC Applications (TU Munich, IIT, U. Stuttgart)


A new technical paper titled "Investigating Self-Heating Effects in Ferroelectric FinFETs for Reliable In-Memory Computing" was published by researchers at TU Munich, University of Stuttgart and Indian Institute of Technology, Kanpur. Abstract "Ferroelectric (Fe) FET has emerged as a promising candidate for efficient in-memory computing due to its properties, such as non-volatility and lo... » read more

Optimizing End-to-End Communication And Workload Partitioning In MCM Accelerators (Georgia Tech)


A new technical paper titled "MCMComm: Hardware-Software Co-Optimization for End-to-End Communication in Multi-Chip-Modules" was published by researchers at Georgia Tech. Abstract "Increasing AI computing demands and slowing transistor scaling have led to the advent of Multi-Chip-Module (MCMs) based accelerators. MCMs enable cost-effective scalability, higher yield, and modular reuse by par... » read more

Controlled Shared Memory For Dynamically Controlling Data Communication Via Shared Memory Approaches (ASU, Intel)


A new technical paper titled "Controlled Shared Memory (COSM) Isolation: Design and Testbed Evaluation" was published by researchers at Arizona State University and Intel Corporation. Abstract "Recent memory sharing approaches, e.g., based on the Compute Express Link (CXL) standard, allow the flexible high-speed sharing of data (i.e., data communication) among multiple hosts. In information... » read more

Impact Of Cryogenic Temps On The Minimum-Operating Voltage Of 5nm FinFETs-Based SRAM (IIT, UC Berkeley et al)


A new technical paper titled "An Investigation of Minimum Supply Voltage of 5nm SRAM from 300K down to 10K" was published by researchers at Indian Institute of Technology, UC Berkeley and Munich Institute of Robotics and Machine Intelligence. Abstract "In this article, we present a comprehensive study of the impact of cryogenic temperatures on the minimum-operating voltage (Vmin) of 5 nm ... » read more

HW-based Heterogeneous Memory Management for LLM Inferencing (KAIST, Stanford Unversity)


A new technical paper titled "Hardware-based Heterogeneous Memory Management for Large Language Model Inference" was published by researchers at KAIST and Stanford University. Abstract "A large language model (LLM) is one of the most important emerging machine learning applications nowadays. However, due to its huge model size and runtime increase of the memory footprint, LLM inferences suf... » read more

Single Transistor Memory Cell C2RAM Based On FDSOI For Quantum And Neuromorphic


A new technical paper titled "An Energy Efficient Memory Cell for Quantum and Neuromorphic Computing at Low Temperatures" was published by researchers at Forschungszentrum Jülich, RWTH Aachen University and SOITEC. Abstract: "Efficient computing in cryogenic environments, including classical von Neumann, quantum, and neuromorphic systems, is poised to transform big data processing. The que... » read more

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