high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

A block-asynchronous relaxation method for graphics processing units

Hartwig Anzt, Stanimire Tomov, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

December 22, 2011 by hgpu

AES Encryption and Decryption Using Direct3D 10 API

Adrian Marius Chiuta

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Tags: AES, Algorithms, Computer science, CUDA, DirectX, nVidia, nVidia GeForce 9800 GTX, Security

December 22, 2011 by hgpu

GPU-based parallel collision detection for real-time motion planning

Jia Pan, Dinesh Manocha

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Tags: Algorithms, Benchmarking, Clustering, Collision detection, Computer science, CUDA, nVidia, nVidia GeForce GTX 480

December 22, 2011 by hgpu

Solving Quadratic Programming Problems on Graphics Processing Unit

Yunlong Huang, Keck Voon Ling, Simon See

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla S1070

December 22, 2011 by hgpu

Computational Fluid Dynamics Simulations using Many Graphics Processors

Ali Khajeh-Saeed, J. Blair Perot

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480, Poisson equation, Tesla C2070, Tesla S1070

December 21, 2011 by hgpu

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Yun-Yu Chen, Yi-Min Tsai, Liang-Gee Chen

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Tags: Algorithms, CUDA, Medicine, nVidia, Sorting

December 21, 2011 by hgpu

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Claudio T. Silva, Sarang Joshi1

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Tags: Algorithms, CUDA, Image processing, Image registration, Medicine, MRI, nVidia, nVidia GeForce GTX 260

December 21, 2011 by hgpu

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

Bhanu Pratap Sharma

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Tags: Algorithms, Computational finance, CUDA, Finance, nVidia, nVidia GeForce GTX 450, nVidia GeForce GTX 550 Ti, Thesis

December 21, 2011 by hgpu

Parallel Inference on Structured Data with CRFs on GPUs

Nico Piatkowski, Katharina Morik

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Source codes

Tags: Algorithms, Computer science, CUDA, Databases, Graph theory, nVidia, Package, Tesla C2050

December 21, 2011 by hgpu

Performance and Quality of Random Number Generators

V. du Preez, M.G.B. Johnson, A. Leist, K.A. Hawick

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Tags: Algorithms, Computer science, CUDA, Monte Carlo simulation, Numerical simulation, nVidia, nVidia GeForce GTX 580, Pseudo-random number generators, Review

December 20, 2011 by hgpu

GPU Accelerated PK-means Algorithm for Gene Clustering

Wuchao Situ, Yau-King Lam, Yi Xiao, P.W.M. Tsang, Chi-Sing Leung

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Tags: Algorithms, Biology, Clustering, CUDA, Genetics, nVidia, nVidia GeForce GTX 260

December 20, 2011 by hgpu

A Framework for Genetic Algorithms in Parallel Environments

Tomoyuki Hiroyasu, Ryosuke Yamanaka, Masato Yoshimi, Mitsunori Miki

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Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, nVidia GeForce GTX 250

December 20, 2011 by hgpu

MATLAB Tensor Core models

Accurate Models of NVIDIA Tensor Cores

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

TritonForge: Profiling-Guided Framework for Automated Triton Kernel Optimization

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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

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

Fortran xDSL dialects

An MLIR pipeline for offloading Fortran to FPGAs via OpenMP

See all packages

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high performance computing on graphics processing units: hgpu.org

A block-asynchronous relaxation method for graphics processing units

AES Encryption and Decryption Using Direct3D 10 API

GPU-based parallel collision detection for real-time motion planning

Solving Quadratic Programming Problems on Graphics Processing Unit

Computational Fluid Dynamics Simulations using Many Graphics Processors

Algorithm and implementation of multi-channel spike sorting using GPU in a home-care surveillance system

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

A Normalized Particle Swarm Optimization Algorithm to Price Complex Chooser Option and Accelerating its Performance with GPU

Parallel Inference on Structured Data with CRFs on GPUs

Performance and Quality of Random Number Generators

GPU Accelerated PK-means Algorithm for Gene Clustering

A Framework for Genetic Algorithms in Parallel Environments

Recent source codes

MATLAB Tensor Core models

TritonForge: Transform PyTorch Operations into Optimized GPU Kernels with LLMs

RLTune: Hybrid Learning and Optimization-Based Dynamic Scheduling for DL Workloads on Heterogeneous GPU Clusters

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

hls4ml: Machine learning on FPGAs using HLS

NVIDIA Nemotron Parse 1.1

ThunderKittens: Tile primitives for speedy kernels

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

HipKittens: Fast and Furious AMD Kernels

Fortran xDSL dialects

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