high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Fast Neural Network Training on General Purpose Computers

Harshit Kharbanda, Roy H. Campbell

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Tags: Benchmarking, Computer science, CUDA, Neural networks, nVidia, nVidia Quadro FX 1800

December 14, 2011 by hgpu

Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems

Huda Ibeid, Dinesh Kaushik, David Keyes, Hatem Ltaief

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Tags: Algorithms, Computer science, CUDA, Factorization, Heterogeneous systems, Matrix inversion, nVidia, Tesla C2070

December 14, 2011 by hgpu

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Ismael Daribo, Zachary A. Garrett, Yuki Takaya, Hideo Saito

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Tags: Computer science, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 280

December 14, 2011 by hgpu

Voxelized Minkowski sum computation on the GPU with robust culling

Wei Li, Sara McMains

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Tags: Algorithms, CAD, Computer science, CUDA, Floating point error, nVidia, nVidia Quadro FX 5800, Voxelization

December 14, 2011 by hgpu

Automatic library generation for BLAS3 on GPUs

Huimin Cui, Lei Wang, Jingling Xue, Yang Yang, Xiaobing Feng

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Tags: Algorithms, Computer science, CUBLAS, Linear Algebra, nVidia, nVidia GeForce 9800 GTX, nVidia GeForce GTX 285, Optimization, Tesla C2050

December 13, 2011 by hgpu

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Maria Ganzha, Marcin Paprzycki, Stanislav G. Sedukhin

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Tags: Algorithms, Computer science, Linear Algebra, Matrix multiplication

December 13, 2011 by hgpu

Collision-Driven Volumetric Deformation on the GPU

G. Aldrich, D. Pinskiy, B. Hamann

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460

December 13, 2011 by hgpu

Divergence Analysis with Affine Constraints

Diogo Sampaio, Rafael Martins, Fernando Magno Quintao Pereira, Sylvain Collange

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Source codes

Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 570, Optimization, Package, PTX

December 13, 2011 by hgpu

Graphics Processing Units: More Than the Pathway to Realistic Video-Games

Carlos Trujillo, Jorge Garcia-Sucerquia

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Tags: Computer holography, Computer science, CUDA, nVidia, nVidia GeForce 9800 GT

December 13, 2011 by hgpu

Design and study of a massively multi threaded shared memory architecture

Christophe Riolo

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Tags: Algorithms, Computer science, CUDA, Memory, nVidia, Tesla C2070, Thesis

December 12, 2011 by hgpu

A Rigid Body Physics Engine for Interactive Applications

Marco Santos Souza, Tiago de H. C. Nobrega, Andre Ferreira Bem Silva, Diego D. B. Carvalho

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Tags: Collision detection, Computer science, Interactive application, nVidia, nVidia GeForce 9600 GT, OpenGL

December 12, 2011 by hgpu

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

Stephen Cossell, Jose Guivant

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Tags: Algorithms, ATI, ATI Radeon HD 2400 XT, Computer science, GLSL, nVidia, nVidia GeForce GTX 480, OpenGL, Path problems

December 12, 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

Applications

Fast Neural Network Training on General Purpose Computers

Toward Accelerating the Matrix Inversion Computation of Symmetric Positive-Definite Matrices on Heterogeneous GPU-Based Systems

Accelerating Live Graph-Cut-Based Object Tracking Using CUDA

Voxelized Minkowski sum computation on the GPU with robust culling

Automatic library generation for BLAS3 on GPUs

Developing an OO Model for Generalized Matrix Multiplication: Preliminary Considerations

Collision-Driven Volumetric Deformation on the GPU

Divergence Analysis with Affine Constraints

Graphics Processing Units: More Than the Pathway to Realistic Video-Games

Design and study of a massively multi threaded shared memory architecture

A Rigid Body Physics Engine for Interactive Applications

Parallel Evaluation of a Spatial Traversability Cost Function on GPU for Efficient Path Planning

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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