Why Futhark?
Futhark is a small programming language designed to be compiled to efficient parallel code. It is a statically typed, data-parallel, and purely functional array language in the ML family, and comes with a heavily optimising ahead-of-time compiler that presently generates either GPU code via CUDA and OpenCL, or multi-threaded CPU code. As a simple example, this function computes the average of an a
ROCm, a New Era in Open GPU Computing
ROCm, a New Era in Open GPU Computing : Platform for GPU Enabled HPC and UltraScale Computing View on GitHub ROCm, a New Era in Open GPU Computing Platform for GPU-Enabled HPC and Ultrascale Computing Welcome to the ROCm Platform We are excited to present ROCm, the first open-source HPC/ultrascale-class platform for GPU computing that’s also programming-language independent. We are bringing the U
THUNDER Research Group
The THUNDER Research Group is a research group at Seoul National University. It belongs to both the Department of Computer Science and Engineering in the College of Engineering and the Department of Data Science in the Graduate School of Data Science. Its goal is to accelerate large-scale AI models’ training and inference and to reduce their size. It also focuses on Natural Language Processing fro
AMD Fusion Developer Summit 2011 Session Catalog
Products Processors Accelerators Graphics Adaptive SoCs, FPGAs, & SOMs Software, Tools, & Apps
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Intel Xeon Phi Cluster Mode Programming (and interactions with memory modes) in a Nutshell - High-Performance Computing News Analysis | insideHPC
Intel Xeon Phi Memory Mode Programming (MCDRAM) in a Nutshell - High-Performance Computing News Analysis | insideHPC
Three Ways to Debug Parallel CUDA Applications: Interactive, Batch, and Corefile
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Google Code Archive - Long-term storage for Google Code Project Hosting.
OpenMP Releases Version 3.1 Spec - High-Performance Computing News Analysis | insideHPC
【後藤弘茂のWeekly海外ニュース】 GPUをCPUのように扱えるFusion System ArchitectureをAMDが発表
INTEL コード & ダウンロード
[PDF] 青山幸也 「CUDAプログラミング入門」