high performance computing on graphics processing units: hgpu.org

hgpu.org » FPGA

A dynamically configurable coprocessor for convolutional neural networks

Srimat Chakradhar, Murugan Sankaradas, Venkata Jakkula, Srihari Cadambi

Tags: Computer science, FPGA, Neural networks

November 22, 2010 by hgpu

Correlation analysis on GPU systems using NVIDIA’s CUDA

Daniel Gembris, Markus Neeb, Markus Gipp, Andreas Kugel, Reinhard Manner

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Tags: Computer science, CUDA, FPGA, Magnetic resonance imaging, Medicine, nVidia, nVidia GeForce 8800 GTX

November 17, 2010 by hgpu

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Robert J. Brunner, Volodymyr V. Kindratenko, Adam D. Myers

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Tags: Algorithms, Astrophysics, Computer science, FPGA, Review

November 13, 2010 by hgpu

Accelerating Scientific Computations with Mixed Precision Algorithms

Marc Baboulin, Alfredo Buttari, Jack Dongarra, Jakub Kurzak, Julie Langou, Julien Langou, Piotr Luszczek, Stanimire Tomov

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Tags: Algorithms, Cell processor, Computer science, FPGA, Linear Algebra, Mathematical Software, Mixed precision

November 9, 2010 by hgpu

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Ben Cope, Peter Y. K. Cheung, Wayne Luk, Lee Howes

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Tags: FPGA, nVidia, nVidia GeForce 7900 GTX, OpenGL, Signal processing

November 5, 2010 by hgpu

Accelerating astrophysical particle simulations with programmable hardware (FPGA and GPU)

R. Spurzem, P. Berczik, G. Marcus, A. Kugel, G. Lienhart, I. Berentzen, R. Manner, R. Klessen, R. Banerjee

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Tags: Astrophysics, FPGA, N-body simulation, nVidia, nVidia GeForce 8800 GTX, Particle simulation, Special purpose accelerators

October 28, 2010 by hgpu

Matched Filter Computation on FPGA, Cell and GPU

Z. K. Baker, M. B. Gokhale, J. L. Tripp

Tags: Computer science, FPGA, nVidia, nVidia GeForce 7900 GTX

October 28, 2010 by hgpu

GPU acceleration of a production molecular docking code

Bharat Sukhwani, Martin C. Herbordt

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Tags: Bioinformatics, Biophysics, Chemistry, FPGA, Molecular dynamics, nVidia, Tesla C1060

October 27, 2010 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

A dynamically configurable coprocessor for convolutional neural networks

Correlation analysis on GPU systems using NVIDIA’s CUDA

Developing and Deploying Advanced Algorithms to Novel Supercomputing Hardware

Accelerating Scientific Computations with Mixed Precision Algorithms

Performance Comparison of Graphics Processors to Reconfigurable Logic: A Case Study

Accelerating astrophysical particle simulations with programmable hardware (FPGA and GPU)

Matched Filter Computation on FPGA, Cell and GPU

GPU acceleration of a production molecular docking code

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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