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Spatial Sorting Algorithms for Parallel Computing in Networks

Max OrHai, Christof Teuscher

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Tags: Algorithms, Cluster computing, Computer science, Sorting

January 9, 2012 by hgpu

High Performance and Scalable GPU Graph Traversal

Duane Merrill, Michael Garland, Andrew Grimshaw

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, nVidia GeForce GTX 280, Tesla C2050

January 9, 2012 by hgpu

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

Jia Pan, Dinesh Manocha

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Tags: Algorithms, Computer science, Data mining, Databases, Hashing, Nearest neighbour, nVidia, nVidia GeForce GTX 480

January 9, 2012 by hgpu

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Marc Baboulin, Simplice Donfack, Laura Grigori, Adrien Remy, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Linear Algebra, nVidia, Performance, Tesla S2050

January 8, 2012 by hgpu

Hybrid Algorithms for List Ranking and Graph Connected Components

Dip Sankar Banerjee, Kishore Kothapalli

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Tags: Algorithms, Computer science, CUDA, List ranking, nVidia, Sorting, Tesla C1060

January 8, 2012 by hgpu

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Hartwig Anzt, Stanimire Tomov, Mark Gates, Jack Dongarra, Vincent Heuveline

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Tags: Algorithms, Computer science, CUDA, Linear Algebra, nVidia, Performance, Tesla C2070

January 8, 2012 by hgpu

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

Rio Yokota, L. A. Barba

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Tags: Algorithms, Astrophysics, CUDA, Fast multipole method, Heterogeneous systems, N-body simulation, nVidia, Physics, Tesla M2050

January 8, 2012 by hgpu

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Cristobal A. Navarro, Nancy Hitschfeld-Kahler, Eliana Scheihing

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenGL, Triangular meshes

January 8, 2012 by hgpu

Massively Parallel Sequential Monte Carlo for Bayesian Inference

John Geweke, Garland Durham

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Tags: Algorithms, Bayesian, Computer science, CUDA, nVidia, nVidia GeForce GTX 570

January 8, 2012 by hgpu

Some Graph Algorithms And Related Primitives For The GPU

Jyothish Soman

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla C1060, Thesis

January 8, 2012 by hgpu

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

Will W. Martin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, KD-tree, nVidia, Performance, Raytracing

January 8, 2012 by hgpu

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

Liu Li, Liu Li, Yang Guangwen

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Tags: Algorithms, Compression, Computer science, CUDA, Factorization, nVidia, Sparse matrix, Tesla C1060

January 8, 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

Spatial Sorting Algorithms for Parallel Computing in Networks

High Performance and Scalable GPU Graph Traversal

Fast GPU-based Locality Sensitive Hashing for K-Nearest Neighbor Computation

A class of communication-avoiding algorithms for solving general dense linear systems on CPU/GPU parallel machines

Block-asynchronous Multigrid Smoothers for GPU-accelerated Systems

Parameter Tuning of a Hybrid Treecode-FMM on GPUs

A Quasi-Parallel GPU-Based Algorithm for Delaunay Edge-Flips

Massively Parallel Sequential Monte Carlo for Bayesian Inference

Some Graph Algorithms And Related Primitives For The GPU

Implementation of Kd-Trees on the GPU to Achieve Real Time Graphics Processing

A Highly Efficient GPU-CPU Hybrid Parallel Implementation of Sparse LU Factorization

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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