high performance computing on graphics processing units: hgpu.org

Jaejin Lee, Jungwon Kim, Sangmin Seo, Seungkyun Kim, Jungho Park, Honggyu Kim, Thanh T. Dao, Yongjin Cho, Sung J. Seo, Seung H. Lee, Seung M. Cho, Hyo J. Song, Sang B. Suh, Jong D. Choi

Tags: Computer science, Memory model, OpenCL

January 16, 2011 by hgpu

Daubechies wavelets for high performance electronic structure calculations: The BigDFT project

Luigi Genovese, Brice Videau, Matthieu Ospici, Thierry Deutsch, Stefan Goedecker, Jean-Francois Mehaut

Source codes

Tags: Chemistry, Molecular modeling, OpenCL, Package, Physics

January 16, 2011 by hgpu

Comparing Hardware Accelerators in Scientific Applications: A Case Study

Rick Weber, Akila Gothandaraman, Robert J. Hinde, Gregory D. Peterson

Tags: ATI, Brook, Computer science, CUDA, FPGA, nVidia, OpenCL, Performance

January 10, 2011 by hgpu

Raising the level of many-core programming with compiler technology: meeting a grand challenge

Wen-mei Hwu

Tags: Compilers, Computer science, CUDA, nVidia, OpenCL, Programming techniques

January 9, 2011 by hgpu

OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems

John E. Stone, David Gohara, Guochun Shi

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Download (PDF)

Tags: ATI, Computer science, nVidia, nVidia GeForce GTX 285, OpenCL, Review

December 27, 2010 by hgpu

Programming massively parallel processors : A Hands – on approach

David B Kirk and Wen-Mei W. Hwu

Tags: Algorithms, Book, Computer science, CUDA, nVidia, OpenCL, Review

December 17, 2010 by hgpu

BUDDY MLIR

Compiler Technologies in Deep Learning Co-Design: A Survey

pocl: Portable Computing Language (IWOCL23 release)

Implementation Techniques for SPMD Kernels on CPUs

Genomics-GPU: A Benchmark Suite for GPU-accelerated Genome Analysis

Dragon-Alpha&cu32: A Java-based Tensor Computing Framework With its High-Performance CUDA Library

Beehive SPIR-V Toolkit

Experiences in Building a Composable and Functional API for Runtime SPIR-V Code Generation

TorchBench: a collection of open source benchmarks used to evaluate PyTorch performance

TorchBench: Benchmarking PyTorch with High API Surface Coverage

Descend: an attempt at safe imperative GPU programming

Descend: A Safe GPU Systems Programming Language

See all packages

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high performance computing on graphics processing units: hgpu.org

Computational Fluid Dynamic on GPU

Introduction to GPU programming for EDA

OpenRCL: Low-Power High-Performance Computing with Reconfigurable Devices

Correlating Radio Astronomy Signals with Many-Core Hardware

Swan: A tool for porting CUDA programs to OpenCL

Interactive visual analysis of contrast-enhanced ultrasound data based on local neighborhood statistics

An OpenCL framework for heterogeneous multicores with local memory