high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

GPApriori: GPU-Accelerated Frequent Itemset Mining

Fan Zhang, Yan Zhang, Jason Bakos

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Tags: Algorithms, Computer science, CUDA, Data mining, Databases, nVidia, Tesla S1070

January 24, 2012 by hgpu

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Jiri Barnat, Petr Bauch, Lubos Brim, and Milan Ceska

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Tags: Algorithms, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 480, Probabilistic model checking

January 24, 2012 by hgpu

Real-Time Photon Mapping on GPU

Sanket Gupte

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Tags: 3D Graphics and Realism, Computer science, CUDA, Hashing, nVidia, Raytracing, Real-time graphics

January 24, 2012 by hgpu

Multipattern String Matching On A GPU

Xinyan Zha, Sartaj Sahni

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 200, String matching

January 24, 2012 by hgpu

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

A. Leist, K.A. Hawick, D.P. Playne

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Tags: Algorithms, Cell processor, Clustering, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 480

January 24, 2012 by hgpu

Parallel SIFT-detector implementation for images matching

Anton I. Vasilyev, Andrey A. Boguslavskiy, Sergey M. Sokolov

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, SIFT

January 24, 2012 by hgpu

Cost Efficient PageRank Computation using GPU

Praveen K., Vamshi Krishna K., Anil Sri Harsha B., S. Balasubramanian, P.K. Baruah

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Tags: Algorithms, Computer science, CUBLAS, CUDA, List ranking, nVidia, Sparse matrix, Tesla T20

January 24, 2012 by hgpu

Determinant Computation on the GPU using the Condensation Method

Sardar Anisul Haque, Marc Moreno Maza

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla C2050

January 23, 2012 by hgpu

A GPU-based implementation for Range Queries on Spaghettis Data Structure

Roberto Uribe-Paredes, Pedro Valero-Lara, Enrique Arias, Jose L. Sanchez, Diego Cazorla

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Tags: Algorithms, Computer science, CUDA, Databases, nVidia, nVidia GeForce GTX 285

January 23, 2012 by hgpu

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

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Rick van der Zwet

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 295, Package, Thesis

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

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

GPApriori: GPU-Accelerated Frequent Itemset Mining

Designing Fast LTL Model Checking Algorithms for Many-Core GPUs

Real-Time Photon Mapping on GPU

Multipattern String Matching On A GPU

GPGPU and Multi-Core Architectures for Computing Clustering Coefficients of Irregular Graphs

Parallel SIFT-detector implementation for images matching

Determinant Computation on the GPU using the Condensation Method

A GPU-based implementation for Range Queries on Spaghettis Data Structure

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

Exploratory research on embedding CUDA code into hetrogeneous MP-SOC achitectures programmed with the Daedalus framework

Strassen’s Matrix Multiplication on GPUs

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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