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RDCIM: RISC-V Supported Full-Digital Computing-in-Memory Processor With High Energy Efficiency and Low Area Overhead

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
Digital computing-in-memory (DCIM) that merges computing logic into memory has been proven to be an efficient architecture for accelerating multiply-and-accumulates (MACs).
Wente Yi   +7 more
semanticscholar   +1 more source

An Eight-Core RISC-V Processor With Compute Near Last Level Cache in Intel 4 CMOS

IEEE Journal of Solid-State Circuits, 2023
An eight-core 64-b processor extends RISC-V to perform multiply–accumulate (MAC) within the shared last level cache (LLC). Instead of moving data from the LLC to the core, compute near last level cache (CNC) adds MAC to the LLC datapath and performs ...
Gregory K. Chen   +3 more
semanticscholar   +1 more source

MiniFloats on RISC-V Cores: ISA Extensions With Mixed-Precision Short Dot Products

IEEE Transactions on Emerging Topics in Computing
Low-precision floating-point (FP) formats have recently been intensely investigated in the context of machine learning inference and training applications.
Luca Bertaccini   +5 more
semanticscholar   +1 more source

HAMSA-DI: A Low-Power Dual-Issue RISC-V Core Targeting Energy-Efficient Embedded Systems

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
The RISC-V architecture has recently emerged as a popular open source option for the design of general purpose cores with a wide spectrum of operating specifications.
Yehuda Kra   +3 more
semanticscholar   +1 more source

Designing Low-Power RISC-V Multicore Processors With a Shared Lightweight Floating Point Unit for IoT Endnodes

IEEE Transactions on Circuits and Systems Part 1: Regular Papers
The increasing interest in RISC-V from both academia and industry has motivated the development and release of a number of free, open-source cores based on the RISC-V instruction set architecture.
Jin Park   +6 more
semanticscholar   +1 more source

Performance characterisation of the 64-core SG2042 RISC-V CPU for HPC

ISC Workshops
Whilst RISC-V has grown phenomenally quickly in embedded computing, it is yet to gain significant traction in High Performance Computing (HPC). However, as we move further into the exascale era, the flexibility offered by RISC-V has the potential to be ...
Nick Brown, Maurice Jamieson
semanticscholar   +1 more source

Information Flow Tracking in RISC-V [PDF]

open access: possible2019 IEEE 16th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT and AI (HONET-ICT), 2019
In the process of globalization, heterogeneous SoCs play an important role in an embedded application, security aspects of such systems are crucial. The system is susceptible to many attacks out of which we focus on the run-time software attacks which causes memory corruption.
Fareena Saqib, Geraldine Shirley
openaire   +1 more source

A RISC-V “V” VP: Unlocking Vector Processing for Evaluation at the System Level

Design, Automation and Test in Europe
In this paper we introduce the first free- and open-source SystemC TLM based RISC-V Virtual Prototype (VP) with support for the RISC-V “V” Vector Extension (RVV) Version 1.0.
Manfred Schlägl   +2 more
semanticscholar   +1 more source

RISC-V Extension for Lightweight Cryptography

2020 23rd Euromicro Conference on Digital System Design (DSD), 2020
Lightweight Cryptography (LWC) is suitable for IoTs which require a high level of security while keeping a low complexity. Many lightweight cryptographic algorithms have been proposed to satisfy these requirements. But there is currently no emerging standard concerning the symmetric block ciphering, as every algorithm has its own advantage.
Etienne Tehrani   +3 more
openaire   +2 more sources

Preparing for HPC on RISC-V: Examining Vectorization and Distributed Performance of an Astrophysics Application with HPX and Kokkos

SC24-W: Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis
In recent years, interest in RISC-V computing architectures has moved from academic to mainstream, especially in the field of High Performance Computing where energy limitations are increasingly a concern.
Patrick Diehl   +9 more
semanticscholar   +1 more source

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