high performance computing on graphics processing units: hgpu.org

Programming

Towards Multi-GPU Support in the Marrow Skeleton Framework

Fernando Alexandre, Ricardo Marques, Herve Paulino

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Tags: Algorithms, ATI, ATI Radeon HD 7950, Computer science, Heterogeneous systems, nVidia, nVidia Quadro FX 3800, OpenCL, Tesla C1060

October 3, 2013 by hgpu

GPU-accelerated triangle-triangle intersection tester algorithm

Romain Maffina

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tessellation, Thesis

October 3, 2013 by hgpu

Parallel Hyperspectral Unmixing on GPUs

Jose M. P. Nascimento, Jose M. Bioucas-Dias, Jose M. Rodriguez Alves, Vitor Silva, Antonio Plaza

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Tesla C2050

October 2, 2013 by hgpu

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Bassem Makni

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Tags: Algorithms, Computer science, CUDA, nVidia

October 1, 2013 by hgpu

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Dominik Szalkowski, Przemyslaw Stpiczynski

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, Package, Pseudo-random number generators, Tesla M2050

October 1, 2013 by hgpu

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Isaiah Hull

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Tags: Algorithms, CUDA, Finance, nVidia, nVidia GeForce GTX 560 Ti, Stochastic simulation

September 30, 2013 by hgpu

Adapting data processing methods to modern GPU architecture

Bartlomiej Szczepaniak

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia Quadro NVS 3100 M, Wavelet

September 29, 2013 by hgpu

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

M. Harper Langston, Muthu Baskaran, Benoit Meister, Nicolas Vasilache, Richard Lethin

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Tags: Algorithms, CUDA, Fast multipole method, FFT, MPI, nVidia, Signal processing, Tesla M2070

September 29, 2013 by hgpu

A GPU Implementation of a Jacobi Method for Lattice Basis Reduction

Filip Jeremic, Sanzheng Qiao

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Tags: Algorithms, CUDA, Mathematics, nVidia, nVidia GeForce GTX 660

September 28, 2013 by hgpu

From OpenCL to Gates: the FFT

Joao Andrade, Vitor Silva, Gabriel Falcao

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Tags: Algorithms, Computer science, FFT, FPGA, nVidia, nVidia GeForce GTX 680, OpenCL

September 28, 2013 by hgpu

Performance Improvement of Optical Algorithms on Multicore Platforms

Ratnakar Madan

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Tags: Algorithms, Computer science, CUDA, FPGA, nVidia, nVidia GeForce GTX 580, Optics, Thesis

September 28, 2013 by hgpu

Clustering on GPU – A Brief Survey

V.Saveetha, S.Sophia, V.Anusha Sowbarnika

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Tags: Algorithms, Clustering, Computer science, CUDA, nVidia, Review

September 27, 2013 by hgpu

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

tritonBLAS: Triton-based Analytical Approach for GEMM Kernel Parameter Selection

hls4ml: Machine learning on FPGAs using HLS

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

ThunderKittens: Tile primitives for speedy kernels

ParallelKittens: Systematic and Practical Simplification of Multi-GPU AI Kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

Iris: First-Class Multi-GPU Programming Experience in Triton

HipKittens: Fast and Furious AMD Kernels

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

See all packages

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high performance computing on graphics processing units: hgpu.org

Programming

Towards Multi-GPU Support in the Marrow Skeleton Framework

GPU-accelerated triangle-triangle intersection tester algorithm

Parallel Hyperspectral Unmixing on GPUs

Optimizing RDF stores by coupling General-purpose Graphics Processing Units and Central Processing Units

Template Library for Multi-GPU Pseudorandom Number Recursion-based Generators

Approximate dynamic programming with post-decision states as a solution method for dynamic economic models

Adapting data processing methods to modern GPU architecture

Re-Introduction of Communication-Avoiding FMM-Accelerated FFTs with GPU Acceleration

A GPU Implementation of a Jacobi Method for Lattice Basis Reduction

From OpenCL to Gates: the FFT

Performance Improvement of Optical Algorithms on Multicore Platforms

Clustering on GPU – A Brief Survey

Recent source codes

tritonBLAS: A Lightweight Triton-based General Matrix Multiplication (GEMM) Library

hls4ml: Machine learning on FPGAs using HLS

ThunderKittens: Tile primitives for speedy kernels

NVIDIA Nemotron Parse 1.1

Iris: AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

mt4g: Memory Topology 4 GPUs

Falcon: GPU-Based Floating-point Adaptive Lossless Compression

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

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