high performance computing on graphics processing units: hgpu.org

Programming

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Arno Leist

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Tags: Algorithms, Cell processor, Computer science, CUDA, Graph theory, Neural networks, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 580, Phase transition, Thesis

January 23, 2012 by hgpu

Convolution of large 3D images on GPU and its decomposition

Pavel Karas, David Svoboda

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Tags: Algorithms, CUDA, FFT, Image processing, nVidia, nVidia GeForce GTX 295

January 23, 2012 by hgpu

Object Oriented Framework for CUDA based Pyramidal Image Blending

Pritam Prakash Shete, Venkat P. P. K., Dinesh M. Sarode, Mohini Laghate, S. K. Bose, A. G. Apte

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia Quadro FX 4600

January 23, 2012 by hgpu

Strassen’s Matrix Multiplication on GPUs

Junjie Li, Sanjay Ranka, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, Matrix multiplication, nVidia, Tesla C1060

January 23, 2012 by hgpu

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Eric Berberich, Pavel Emeliyanenko, Alexander Kobel, Michael Sagraloff

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Symbolic Computation

January 23, 2012 by hgpu

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

David S. Smith, John. C. Gore, Thomas E. Yankeelov, E. Brian Welch

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Tags: Algorithms, CUDA, Image processing, MRI, nVidia, Tesla C2050

January 23, 2012 by hgpu

Computing optical flow using fast total variation

Arthur Masson

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Tags: Algorithms, Computer science, OpenCL, Optical flow, Optimization, Thesis

January 23, 2012 by hgpu

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Martin Krulis, Jakub Yaghob

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Tags: Algorithms, Computer science, CUDA, Databases, Join, nVidia, nVidia GeForce GTX 580

January 22, 2012 by hgpu

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

Xing Lu, Jing Cai, Peidong Cui, Wei Zhang

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Tags: Algorithms, CUDA, Ising model, Monte Carlo simulation, nVidia, Physics, Tesla C1060

January 22, 2012 by hgpu

OpenCL for Database Query Processing

Georgios Krespis

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Tags: Algorithms, Computer science, Databases, nVidia, nVidia GeForce 9600 M, OpenCL, Thesis

January 21, 2012 by hgpu

Markov Chain Monte Carlo on the GPU

Michael D. Dumont

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Tags: Algorithms, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GT 330 M, OpenCL, Thesis

January 21, 2012 by hgpu

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

Laurent A. Baumes, Frederic Kruger, Pierre Collet

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Source codes

Tags: Algorithms, Computer science, CUDA, Evolutionary Computations, Materials Science, nVidia, nVidia GeForce GTX 275, Package

January 21, 2012 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

Programming

Experiences in Data-Parallel Simulation and Analysis of Complex Systems with Irregular Graph Structures

Convolution of large 3D images on GPU and its decomposition

Object Oriented Framework for CUDA based Pyramidal Image Blending

Strassen’s Matrix Multiplication on GPUs

Exact Symbolic-Numeric Computation of Planar Algebraic Curves

Real-time Compressive Sensing MRI Reconstruction using GPU Computing and Split Bregman Methods

Computing optical flow using fast total variation

Revision of Relational Joins for Multi-Core and Many-Core Architectures

Accelerating the Simulations of the Ising Model by the GPU under the CUDA Environment

OpenCL for Database Query Processing

Markov Chain Monte Carlo on the GPU

EASEA: A Generic Optimization Tool for GPU Machines in Asynchronous Island Model

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

Most viewed papers (last 30 days)