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EDINBURGH, Scotland, Oct. 29, 2020 — Codeplay Software Ltd, leaders in enabling acceleration technologies, announced today that software developers working on HPC and AI for embedded systems will be able to take advantage of industry defined open standards from The Khronos Group on RISC-V architectures, thanks to Japan’s New Energy and Industrial Technology Development Organisation (“NEDO”) project in which NSITEXE and Kyoto Microcomputer Co., Ltd. (“KMC”) are participating.
NSITEXE and KMC have ordered an implementation of LLVM for RISC-V Vector Extension Processor (“RVV”), and also Codeplay’s ComputeAorta and ComputeCpp, efficient and high performance implementations of OpenCL and SYCL open standards. In the NEDO project, as a research, NSITEXE develops OpenCL and SYCL compilers from LLVM to utilize RVV, and KMC implements vector syntax to utilize RVV efficiently based on LLVM and Clang. These research developments will contribute to RISC-V community to support open-standard technologies.
By porting Codeplay’s OpenCL and SYCL
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Collaborating with project partners on verifying functional correctness, functional safety, and security in RISC-V processors for use in commercial artificial intelligence and industry 4.0 designs
OneSpin® Solutions, provider of certified IC integrity verification solutions for building functionally correct, safe, secure and trusted integrated circuits, today announced it is a contributing partner in the Scalable Infrastructure for Edge Computing (Scale4Edge) project. Funded by the Federal Ministry of Education and Research (BMBF) of the German government under the ZuSE program, the Scale4Edge project is focused on providing a commercial ecosystem to accelerate the development of advanced edge computing processors to handle the massive amount of data calculations for today’s and future AI and Industry 4.0 applications. This ecosystem will utilize the RISC-V instruction set architecture due to its scalability, flexibility, and cost-effective attributes.
About the Scale4Edge project:
Today’s electronics are being built with more and more artificial intelligence, data-processing, and automation capabilities.