high performance computing on graphics processing units: hgpu.org

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Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Hua He, Jimmy Lin, Adam Lopez

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Tags: Algorithms, Computer science, CUDA, nVidia, Tesla C2050

April 18, 2013 by hgpu

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

Shi Pu, Jyh-Charn Liu

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 680, Security, Smith-Waterman algorithm

April 18, 2013 by hgpu

GPU Accelerated Face Detection (thesis)

Jussi Makela

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL, Thesis

April 17, 2013 by hgpu

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

Sangpil Lee, Won Woo Ro

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Tags: Computer science, CUDA, GPGPU-sim, nVidia, nVidia GeForce GTX 285

April 17, 2013 by hgpu

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

Jakub Kurzak, P. Luszczek, Mathieu Faverge, Jack J. Dongarra

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Tags: Computer science, CUDA, Factorization, nVidia, Task scheduling, Tesla S2050

April 17, 2013 by hgpu

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

Perhaad Mistry, Yash Ukidave, Dana Schaa, David Kaeli

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Tags: ATI, ATI Radeon HD 5870, ATI Radeon HD 6550, Computer science, Computer vision, Heterogeneous systems, OpenCL, Performance, Signal processing

April 17, 2013 by hgpu

Communication-Minimizing 2D Convolution in GPU Registers

Forrest N. Iandola, David Sheffield, Michael Anderson, Phitchaya Mangpo Phothilimthana, Kurt Keutzer

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 680, Prefetch, Tesla C2050

April 17, 2013 by hgpu

3D Haar-Like Elliptical Features for Object Classification in Microscopy

Fernando Amat, Philipp J. Keller

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Tags: Computer vision, Microscopy, Wavelet

April 13, 2013 by hgpu

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

Mario Rincon-Nigro, Nikhil V. Navkar, Nikolaos V. Tsekos, Zhigang Deng

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Tags: Computer science, CUDA, Medicine, Neuroscience, nVidia, nVidia GeForce GTX 480, Visualization

April 12, 2013 by hgpu

NUMA-Aware Image Compositing on Multi-GPU Platform

Pan Wang, Zhi-Quan Cheng, Ralph Martin, Huahai Liu, Xun Cai, Sikun Li

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Rendering

April 12, 2013 by hgpu

Wire Speed Name Lookup: A GPU-based Approach

Yi Wang, Yuan Zu, Ting Zhang, Kunyang Peng, Qunfeng Dong, Bin Liu, Wei Meng, Huichen Dai, Xin Tian, Zhonghu Xu, Hao Wu, Di Yang

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Tags: Computer science, CUDA, Filtering, Networks, nVidia, nVidia GeForce GTX 590

April 12, 2013 by hgpu

Real-time Subsurface Scattering for Particle-based Fluids using Finite Volume Method

Kyung-Kyu Kang, Dongho Kim

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Tags: Computer science, CUDA, Diffusion equation, Finite volume method, Fluid simulation, GLSL, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenGL, Rendering, Voronoi diagram

April 12, 2013 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

Massively Parallel Suffix Array Queries and On-Demand Phrase Extraction for Statistical Machine Translation Using GPUs

Computing Privacy-Preserving Edit Distance and Smith-Waterman Problems on the GPU Architecture

GPU Accelerated Face Detection (thesis)

Parallel GPU Architecture Simulation Framework Exploiting Work Allocation Unit Parallelism

LU Factorization with Partial Pivoting for a Multi-CPU, Multi-GPU Shared Memory System

A Framework for Profiling and Performance Monitoring of Heterogeneous Applications

Communication-Minimizing 2D Convolution in GPU Registers

3D Haar-Like Elliptical Features for Object Classification in Microscopy

GPU-Accelerated Interactive Visualization and Planning of Neurosurgical Interventions

NUMA-Aware Image Compositing on Multi-GPU Platform

Wire Speed Name Lookup: A GPU-based Approach

Real-time Subsurface Scattering for Particle-based Fluids using Finite Volume Method

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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