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相关论文: RISC-V for HPC: Where we are and where we need to …

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Funded by the UK ExCALIBUR H\&ES exascale programme, in early 2022 a RISC-V testbed for HPC was stood up to provide free access for scientific software developers to experiment with RISC-V for their workloads. Here we report on successes,…

分布式、并行与集群计算 · 计算机科学 2023-05-02 Nick Brown , Maurice Jamieson , Joseph K. L. Lee

This extended abstract is submitted on behalf of the RISC-V HPC SIG who have been undertaking an analysis to explore the current state and limitations of the RISC-V ecosystem for HPC. Whilst it is right to celebrate that there has been…

分布式、并行与集群计算 · 计算机科学 2025-06-19 Nick Brown

This article describes the first public implementation and evaluation of the latest version of the RISC-V hypervisor extension (H-extension v0.6.1) specification in a Rocket chip core. To perform a meaningful evaluation for modern…

硬件体系结构 · 计算机科学 2021-08-17 Bruno Sá , José Martins , Sandro Pinto

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. As of this year, the first single…

Whilst the RISC-V Vector extension (RVV) has been ratified, at the time of writing both hardware implementations and open source software support are still limited for vectorisation on RISC-V. This is important because vectorisation is…

分布式、并行与集群计算 · 计算机科学 2023-04-21 Joseph K. L. Lee , Maurice Jamieson , Nick Brown , Ricardo Jesus

While the HPC community is working towards the development of the first Exaflop computer (expected around 2020), after reaching the Petaflop milestone in 2008 still only few HPC applications are able to fully exploit the capabilities of…

分布式、并行与集群计算 · 计算机科学 2015-06-10 Erika Abraham , Costas Bekas , Ivona Brandic , Samir Genaim , Einar Broch Johnsen , Ivan Kondov , Sabri Pllana , Achim Streit

Among the key contributions of Vitamin-V (2023-2025 Horizon Europe project), we develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart. In this paper, we…

While most instruction set architectures (ISAs) are only available to use through the purchase of a restrictive commercial license, the RISC-V ISA presents a free and open-source alternative. Due to this availability, many free and…

硬件体系结构 · 计算机科学 2025-09-26 Ian McDougall , Harish Batchu , Michael Davies , Karthikeyan Sankaralingam

RISC-V is an open and royalty free instruction set architecture which has been developed at the University of California, Berkeley. The processors using RISC-V can be designed and released freely. Because of this, various processor cores…

硬件体系结构 · 计算机科学 2020-03-30 Junya Miura , Hiromu Miyazaki , Kenji Kise

The new open and royalty-free RISC-V ISA is attracting interest across the whole computing continuum, from microcontrollers to supercomputers. High-performance RISC-V processors and accelerators have been announced, but RISC-V-based HPC…

Vitamin-V is a project funded under the Horizon Europe program for the period 2023-2025. The project aims to create a complete open-source software stack for RISC-V that can be used for cloud services. This software stack is intended to…

As part of the Vitamin-V European project, we have built a prototype of a RISC-V cluster managed by OpenStack, with the goal of realizing a functional RISC-V cloud ecosystem. In this poster we explain the hardware and software challenges…

分布式、并行与集群计算 · 计算机科学 2025-05-06 Aaron Call , Ramon Nou , Guillem Senabre

RISC-V is a recently developed open instruction set architecture gaining a lot of attention. To achieve a lasting security on these systems and design efficient countermeasures, a better understanding of vulnerabilities to novel and…

密码学与安全 · 计算机科学 2023-07-25 Loïc Buckwell , Olivier Gilles , Daniel Gracia Pérez , Nikolai Kosmatov

Vitamin-V is a 2023-2025 Horizon Europe project that aims to develop a complete RISC-V open-source software stack for cloud services with comparable performance to the cloud-dominant x86 counterpart and a powerful virtual execution…

With the rapid development of scientific computation, more and more researchers and developers are committed to implementing various workloads/operations on different devices. Among all these devices, NVIDIA GPU is the most popular choice…

编程语言 · 计算机科学 2021-09-03 Ruobing Han , Blaise Tine , Jaewon Lee , Jaewoong Sim , Hyesoon Kim

Mastering computational architectures is essential for developing fast and power-efficient programs. Our advanced simulator empowers both IT students and professionals to grasp the fundamentals of superscalar RISC-V processors, HW/SW…

硬件体系结构 · 计算机科学 2024-11-13 Jiri Jaros , Michal Majer , Jakub Horky , Jan Vavra

This project focuses on making a RISC-V CPU Core using the Logisim software. RISC-V is significant because it will allow smaller device manufacturers to build hardware without paying royalties and allow developers and researchers to design…

硬件体系结构 · 计算机科学 2023-12-05 Siddesh D. Patil , Premraj V. Jadhav , Siddharth Sankhe

A range of RISC-V based accelerators are available and coming to market, and there is strong potential for these to be used for High Performance Computing (HPC) workloads. However, such accelerators tend to provide bespoke programming…

分布式、并行与集群计算 · 计算机科学 2025-10-03 Nick Brown , Jake Davies , Felix LeClair

The development of an open and free RISC-V architecture is of great interest for a wide range of areas, including high-performance computing and numerical simulation in mathematics, physics, chemistry and other problem domains. In this…

分布式、并行与集群计算 · 计算机科学 2024-05-21 V. D. Volokitin , E. P. Vasiliev , E. A. Kozinov , V. D. Kustikova , A. V. Liniov , Y. A. Rodimkov , A. V. Sysoyev , I. B. Meyerov

High performance computing (HPC) has driven collaborative science discovery for decades. Exascale computing platforms, currently in the design stage, will be deployed around 2022. The next generation of supercomputers is expected to utilize…

人机交互 · 计算机科学 2015-10-22 Nan-Chen Chen , Sarah S. Poon , Lavanya Ramakrishnan , Cecilia R. Aragon
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