high performance computing on graphics processing units: hgpu.org

hgpu.org » Algorithms

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Xiao-Long Wu, Nady Obeid, Wen-Mei Hwu

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Tags: Algorithms, Computer science, CUDA, nVidia, Optimization

January 24, 2011 by hgpu

Efficient Parallel Scan Algorithms for GPUs

Shubhabrata Sengupta, Mark Harris, Michael Garland

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, Package

January 24, 2011 by hgpu

Parallel Genetic Algorithms on Programmable Graphics Hardware

Qizhi Yu, Chongcheng Chen and Zhigeng Pan

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Tags: Algorithms, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 GT

January 23, 2011 by hgpu

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Tien-Tsin Wong and Man Leung Wong

Tags: Algorithms, Computer science, Evolutionary Computations, Genetic programming

January 23, 2011 by hgpu

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Man-Leung Wong, Tien-Tsin Wong

Tags: Algorithms, Computer science, Genetic programming

January 23, 2011 by hgpu

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Zhongwen Luo, Hongzhi Liu

Tags: Algorithms, Computer science, Genetic programming, SAT

January 23, 2011 by hgpu

Evolutionary Computing on Consumer-Level Graphics Hardware

Ka-Ling Fok, Tien-TsinWong, Man-Leung Wong

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 6800 Ultra, Shaders

January 23, 2011 by hgpu

Fast Genetic Programming and Artificial Developmental Systems on GPUs

Simon Harding and Wolfgang Banzhaf

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Tags: Algorithms, Computer science, Genetic programming, nVidia, nVidia GeForce 7300 GO, Shaders

January 23, 2011 by hgpu

A data parallel approach to genetic programming using programmable graphics hardware

Darren M. Chitty

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Tags: Algorithms, Artificial intelligence, Cg, Computer science, Genetic programming, nVidia, nVidia GeForce 6400

January 23, 2011 by hgpu

Hardware Accelerators for Cartesian Genetic Programming

Zdenek Vasicek and Lukas Sekanina

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Tags: Algorithms, Computer science, FPGA, Genetic programming

January 23, 2011 by hgpu

Cellular genetic algorithms

Enrique Alba, Bernabe Dorronsoro

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Tags: Algorithms, Computer science, Genetic programming, SAT

January 23, 2011 by hgpu

A study of parallel evolution strategy: pattern search on a GPU computing platform

Weihang Zhu

Tags: Algorithms, Computer science, CUDA, Genetic programming, nVidia, Pattern Search

January 23, 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

Exploiting More Parallelism from Applications Having Generalized Reductions on GPU Architectures

Efficient Parallel Scan Algorithms for GPUs

Parallel Genetic Algorithms on Programmable Graphics Hardware

Parallel Evolutionary Algorithms on Consumer-Level Graphics Processing Unit

Parallel hybrid genetic algorithms on Consumer-Level graphics hardware

Cellular Genetic Algorithms and Local Search for 3-SAT problem on Graphic Hardware

Evolutionary Computing on Consumer-Level Graphics Hardware

Fast Genetic Programming and Artificial Developmental Systems on GPUs

A data parallel approach to genetic programming using programmable graphics hardware

Hardware Accelerators for Cartesian Genetic Programming

Cellular genetic algorithms

A study of parallel evolution strategy: pattern search on a GPU computing platform

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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