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Applying the Parallel GPU Model to Radiation Therapy Treatment

J. Steven Kirtzic, David Allen, Ovidiu Daescu

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Tags: Algorithms, CUDA, Image processing, Medicine, nVidia, nVidia GeForce 9800 GTX, Radiotherapy

January 5, 2014 by hgpu

Crack-free rendering of dynamically tesselated B-Rep models

Frederic Claux, Loic Barthe, David Vanderhaeghe, Jean-Pierre Jessel, Mathias Paulin

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Dynamic surface, Image generation, nVidia, nVidia GeForce GTX 780, Rendering, Shaders

January 5, 2014 by hgpu

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Mehmet Deveci, Kamer Kaya, Bora Ucar, Umit V. Catalyurek

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Tags: Algorithms, Bioinformatics, Computer science, CUDA, Graph theory, nVidia, Search, Tesla C2050

January 5, 2014 by hgpu

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

Min Qi

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Tags: Algorithms, Collision detection, Computer science, CUDA, nVidia, Tesla C2070, Thesis

January 5, 2014 by hgpu

A GPU-based real time trigger for rare kaon decays at NA62

Elena Graverini

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Tags: Algorithms, CUDA, High Energy Physics - Experiment, nVidia, Pattern recognition, Physics, Tesla K20, Thesis

January 3, 2014 by hgpu

Achieving TeraCUPS on Longest Common Subsequence Problem using GPGPUs

Adnan Ozsoy, Arun Chauhan, Martin Swany

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 690, Sequence alignment, Sequence matching, Tesla C2075, Tesla M2090

January 2, 2014 by hgpu

High-Speed Turbo Equalization for GPP-based Software Defined Radios

Michael Schwall, Friedrich K. Jondral

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Tags: Algorithms, Filtering, nVidia, nVidia GeForce 8400 GS, OpenCL, Signal processing

December 31, 2013 by hgpu

Efficient Processing of MRFs for Unconstrained-Pose Face Recognition

Shervin Rahimzadeh Arashloo, Josef Kittler

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Tags: Algorithms, Biometrics, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 460

December 31, 2013 by hgpu

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

Mohammed B. Mohammed

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Tags: Algorithms, Computer science, Computer vision, OpenCV, Pattern recognition, Thesis

December 31, 2013 by hgpu

Real Time Background Subtraction On GPU Using CUDA

Vandana P. Tonde, Shivprasad P. Patil

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce 8400 M GS

December 31, 2013 by hgpu

Optimizing LZSS Compression on GPGPUs

Adnan Ozsoy, Martin Swany, Arun Chauhan

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Tags: Algorithms, Compression, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, String matching, Tesla C2075

December 29, 2013 by hgpu

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Laurence Dawson, Iain A. Stewart

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

December 29, 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

Programming

Applying the Parallel GPU Model to Radiation Therapy Treatment

Crack-free rendering of dynamically tesselated B-Rep models

A Push-Relabel-Based Maximum Cardinality Bipartite Matching Algorithm on GPUs

Multiple Bounding Boxes Algorithm in Collision Detection and Its Performances in Sequential vs CUDA Parallel Processing

A GPU-based real time trigger for rare kaon decays at NA62

Achieving TeraCUPS on Longest Common Subsequence Problem using GPGPUs

High-Speed Turbo Equalization for GPP-based Software Defined Radios

Efficient Processing of MRFs for Unconstrained-Pose Face Recognition

Improved Sequential & Parallel Designs and Implementations of the Eight Direction Prewitt Edge Detection

Real Time Background Subtraction On GPU Using CUDA

Optimizing LZSS Compression on GPGPUs

Candidate set parallelization strategies for Ant Colony Optimization on the 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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