high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Differential evolution algorithm on the GPU with C-CUDA

L.P. de Veronese, R.A. Krohling

Tags: Algorithms, Computer science, CUDA, Differential evolution, Evolutionary Computations, nVidia

May 11, 2011 by hgpu

Whole-function vectorization

Ralf Karrenberg, Sebastian Hack

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Tags: Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

Gemma in April: A matrix-like parallel programming architecture on OpenCL

Tianji Wu, Di Wu, Yu Wang, Xiaorui Zhang, Hong Luo, Ningyi Xu, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, Code generation, Computer science, OpenCL, Programming techniques

May 11, 2011 by hgpu

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Raul Cabido, Antonio Montemayor, Juan Pantrigo

Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, Particle filtering, Video tracking

May 11, 2011 by hgpu

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

Michela Becchi, Surendra Byna, Srihari Cadambi, Srimat Chakradhar

Tags: Computer science, CUDA, Distributed data structures, Heterogeneous systems, nVidia, Performance, Programming Languages, Sparse matrix, Tesla C870

May 10, 2011 by hgpu

The GPU on the simulation of cellular computing models

Jose Cecilia, Jose Garcia, Gines Guerrero, Miguel Martinez-del-Amor, Mario Perez-Jimenez, Manuel Ujaldon

Tags: Computer science, Membrane computing, nVidia, P systems, SAT, Tesla S2050

May 10, 2011 by hgpu

Stock trading strategy creation using GP on GPU

Dave McKenney, Tony White

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Tags: Computer science, CUDA, Genetic programming, nVidia

May 10, 2011 by hgpu

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

Jayanth Gummaraju, Laurent Morichetti, Michael Houston, Ben Sander, Benedict R. Gaster, Bixia Zheng

Tags: ATI, Computer science, High-level Languages, OpenCL, Performance, Programming techniques

May 10, 2011 by hgpu

The GPU-based String Matching System in Advanced AC Algorithm

Jiangfeng Peng, Hu Chen, Shaohuai Shi

Tags: Algorithms, Computer science, CUDA, nVidia, String matching

May 9, 2011 by hgpu

GPULib: GPU Computing in High-Level Languages

Peter Messmer, Paul J. Mullowney, Brian E. Granger

Source codes

Tags: Computer science, CUDA, High-level Languages, nVidia, Package

May 9, 2011 by hgpu

GPU-based time parallel cache simulator

Junjie Ma, Han Wan, Xiaopeng Gao, Xiang Long

Tags: Algorithms, Computer science, CUDA, Memory, Memory model, nVidia

May 9, 2011 by hgpu

Ocean wave simulation in real-time using GPU

Chin-Chih Wang, Jia-Xiang Wu, Chao-En Yen, Pangfeng Liu, Chuen-Liang Chen

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Tags: Algorithms, Computer science, CUDA, FFT, Fluid simulation, nVidia, nVidia GeForce 9800 GT, Presentation, Rendering

May 9, 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

Differential evolution algorithm on the GPU with C-CUDA

Whole-function vectorization

Gemma in April: A matrix-like parallel programming architecture on OpenCL

High performance memetic algorithm particle filter for multiple object tracking on modern GPUs

Data-aware scheduling of legacy kernels on heterogeneous platforms with distributed memory

The GPU on the simulation of cellular computing models

Stock trading strategy creation using GP on GPU

Twin peaks: a software platform for heterogeneous computing on general-purpose and graphics processors

The GPU-based String Matching System in Advanced AC Algorithm

GPULib: GPU Computing in High-Level Languages

GPU-based time parallel cache simulator

Ocean wave simulation in real-time using GPU

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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