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A Spiking Neural P system simulator based on CUDA

Francis Cabarle, Henry Adorna, Miguel A. Martinez-del-Amor

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Tags: Algorithms, Computer science, CUDA, Membrane computing, nVidia, nVidia GeForce 9400 M, Package

March 15, 2012 by hgpu

Targeting heterogeneous architectures via macro data flow

M. Aldinucci, M. Danelutto, P. Kilpatrick, M. Torquati

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, Tesla C2050

March 13, 2012 by hgpu

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Koen Claessen, Mary Sheeran, Bo Joel Svensson

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Tags: Algorithms, Code generation, Computer science, CUDA, Data parallelism, nVidia, nVidia GeForce GTX 480, OpenCL, Package, Sorting

March 13, 2012 by hgpu

Analyzing CUDA’s Compiler through the Visualization of Decoded GPU Binaries

Cedric Nugteren, Bart Mesman, Henk Corporaal

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

March 13, 2012 by hgpu

Real-time execution of image change detection

Hugo van Lint

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Tags: Algorithms, CUDA, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, Thesis

March 13, 2012 by hgpu

GPU Accelerated Computation of Fast Spectral Transforms

Gajic Dusan B., Stankovic Radomir S.

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Tags: Algorithms, ATI, ATI Radeon HD 5650, Computer science, FFT, OpenCL

March 12, 2012 by hgpu

A GPU Algorithm for Greedy Graph Matching

B. O. Fagginger Auer, R. H. Bisseling

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

March 12, 2012 by hgpu

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

James A. Edwards, Uzi Vishkin

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, Performance, Programming techniques

March 11, 2012 by hgpu

An Algorithm for Fast Edit Distance Computation on GPUs

Reza Farivar, Harshit Kharbanda, Shivaram Venkataraman, Roy H. Campbell

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Tags: Algorithms, Bioinformatics, Biology, Computer science, CUDA, nVidia, nVidia GeForce GTX 275, Security, Sequence alignment

March 11, 2012 by hgpu

Performance Analysis of a Novel GPU Computation-to-core Mapping Scheme for Robust Facet Image Modeling

Seung In Park, Yong Cao, Layne T. Watson, Francis Quek

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Tags: Algorithms, CUDA, Image processing, nVidia, nVidia GeForce GTX 295, Performance

March 10, 2012 by hgpu

Acceleration of Solving Maxwell’s Equations Using Cluster of GPUs

E. Arianyan, S. A. Motamedi, M. Hekmatpanah, I. Arianyan

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Tags: Algorithms, CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8400 GS

March 10, 2012 by hgpu

CUDA Accelerated Face Recognition Using Local Binary Patterns

Salih Cihan Tek, Muhittin Gokmen

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image recognition, Nearest neighbour, nVidia, nVidia GeForce GTX 580

March 10, 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

A Spiking Neural P system simulator based on CUDA

Targeting heterogeneous architectures via macro data flow

Expressive Array Constructs in an Embedded GPU Kernel Programming Language

Analyzing CUDA’s Compiler through the Visualization of Decoded GPU Binaries

Real-time execution of image change detection

GPU Accelerated Computation of Fast Spectral Transforms

A GPU Algorithm for Greedy Graph Matching

Better speedups using simpler parallel programming for graph connectivity and biconnectivity

An Algorithm for Fast Edit Distance Computation on GPUs

Performance Analysis of a Novel GPU Computation-to-core Mapping Scheme for Robust Facet Image Modeling

Acceleration of Solving Maxwell’s Equations Using Cluster of GPUs

CUDA Accelerated Face Recognition Using Local Binary Patterns

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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