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Enabling Development of OpenCL Applications on FPGA platforms

Kavya Subraya Shagrithaya

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Tags: Computer science, FPGA, OpenCL, Thesis

September 26, 2012 by hgpu

A Parallel Auxiliary Grid AMG Method for GPU

Lu Wang, Xiaozhe Hu, Jonathan Cohen, Jinchao Xu

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Tags: Algorithms, Computer science, CUDA, Numerical Analysis, nVidia, Tesla C2070

September 26, 2012 by hgpu

Accelerating Iterative SpMV for Discrete Logarithm Problem using GPUs

Hamza Jeljeli

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Tags: Algorithms, Computer science, CUDA, Modular arithmetic, nVidia, nVidia GeForce GTX 580, Security, Sparse matrix

September 26, 2012 by hgpu

GPF: a framework for general packet classification on GPU co-processors

Alastair Nottingham

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 480, Security, Thesis

September 25, 2012 by hgpu

Implementation and Analysis of AES Encryption on GPU

Qinjian Li, Chengwen Zhong, Kaiyong Zhao, Xinxin Mei, Xiaowen Chu

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

September 25, 2012 by hgpu

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

Shigeyoshi Tsutsui

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

September 24, 2012 by hgpu

GPU-based Offset Surface Computation using Point Samples

Charlie C. L. Wang, Dinesh Manocha

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Tags: Algorithms, CAD, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

September 24, 2012 by hgpu

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Vivek K. Pallipuram, Melissa C. Smith, Nimisha Raut, Xiaoyu Ren

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Tags: Computer science, CUDA, GPU cluster, Heterogeneous systems, MPI, Neural networks, nVidia, Tesla M2070

September 23, 2012 by hgpu

Adaptive Treelet Meshes for Efficient Streak-Surface Visualization on the GPU

Raphael Fuchs, Benjamin Schindler, Robert Carnecky, Jurgen Waser, Yun Jang, Ronald Peikert

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Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Rendering, Visualization

September 23, 2012 by hgpu

Task Performance with List-Mode Data

Luca Caucci

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Tags: Algorithms, Computer science, Data acquisition, Image reconstruction, Medicine, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 295, Tesla C1060, Tesla C2050, Thesis, Tomography

September 23, 2012 by hgpu

Computer Vision Application in Graphic Processors

Chouchene Marwa, Sayadi Fatma, Tourki Rached

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Tags: Computer science, Computer vision, GLSL, Image processing, nVidia, nVidia GeForce GT 310 M, OpenGL

September 23, 2012 by hgpu

A Quantitative Study of Irregular Programs on GPUs

Martin Burtscher, Rupesh Nasre, Keshav Pingali

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Performance

September 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

Enabling Development of OpenCL Applications on FPGA platforms

A Parallel Auxiliary Grid AMG Method for GPU

Accelerating Iterative SpMV for Discrete Logarithm Problem using GPUs

GPF: a framework for general packet classification on GPU co-processors

Implementation and Analysis of AES Encryption on GPU

ACO on Multiple GPUs with CUDA for Faster Solution of QAPs

GPU-based Offset Surface Computation using Point Samples

Exploring Multi-level Parallelism for Large-Scale Spiking Neural Networks

Adaptive Treelet Meshes for Efficient Streak-Surface Visualization on the GPU

Task Performance with List-Mode Data

Computer Vision Application in Graphic Processors

A Quantitative Study of Irregular Programs 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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