high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Jan Busa Jr., Shura Hayryan, Ming-Chya Wu, Jan Busa, Chin-Kun Hu

View

Download (PDF)

Tags: Algorithms, Biology, Computer science, nVidia, nVidia GeForce GTX 480, OpenCL

September 30, 2012 by hgpu

Real-Time Computer Vision with openCV

Kari Pulli, Anatoly Baksheev, Kirill Kornyakov, Victor Eruhimov

View

Download (PDF)

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

September 30, 2012 by hgpu

Performance characterization of data-intensive kernels on AMD Fusion architectures

Kenneth Lee, Heshan Lin, Wu-chun Feng

View

Download (PDF)

Tags: AMD Fusion, ATI, ATI Radeon HD 5870, Computer science, Heterogeneous systems, OpenCL

September 30, 2012 by hgpu

A Hybrid Parallel Algorithm for Computing and Tracking Level Set Topology

Senthilnathan Maadasamy, Harish Doraiswamy, Vijay Natarajan

View

Download (PDF)

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 460, OpenCL

September 28, 2012 by hgpu

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

Joao V. F. Lima, Thierry Gautier, Nicolas Maillard, Vincent Danjean

View

Download (PDF)

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

September 28, 2012 by hgpu

A fast Texture-by-numbers synthesis method based on texture optimization

Jing Fan, Xiao-Ying Shi, Zhan Zhou, Ying Tang

View

Download (PDF)

Tags: 3D Graphics and Realism, Algorithms, Computer science, CUDA, Image generation, nVidia, nVidia GeForce GTX 580, Optimization, Rendering

September 28, 2012 by hgpu

Parallel Execution of Constraint Handling Rules on a Graphical Processing Unit

Amira Zaki, Thom Fruhwirth, Ilvar Geller

View

Download (PDF)

Tags: Computer science, CUDA, nVidia

September 28, 2012 by hgpu

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

Michal Pavlech, Jan Seckar

View

Download (PDF)

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

September 27, 2012 by hgpu

Deterministic Parallelism

Alan Leung

View

Download (PDF)

Tags: Computer science, CUDA, nVidia

September 27, 2012 by hgpu

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

R. Nowotniak, J. Kucharski

View

Download (PDF)

Tags: Algorithms, Computer science, CUDA, Metaheuristics, nVidia, nVidia GeForce GTX 295, Optimization

September 27, 2012 by hgpu

Improved Row-Grouped CSR Format for Storing of Sparse Matrices on GPU

Tomas Oberhuber, Martin Heller

View

Download (PDF)

Tags: Computer science, CUDA, nVidia, Optimization, Sparse matrix, Tesla C2070

September 26, 2012 by hgpu

GPU Shape Grammars

Jean-Eudes Marvie, Cyprien Buron, Pascal Gautron, Patrice Hirtzlin, Gael Sourimant

View

Download (PDF)

Tags: 3D Graphics and Realism, CAD, Computer science, DirectX, nVidia, nVidia GeForce GTX 480, Rendering, Visualization

September 26, 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

* * *

high performance computing on graphics processing units: hgpu.org

Applications

ARVO-CL: The OpenCL version of the ARVO package – An efficient tool for computing the accessible surface area and the excluded volume of proteins via analytical equations

Real-Time Computer Vision with openCV

Performance characterization of data-intensive kernels on AMD Fusion architectures

A Hybrid Parallel Algorithm for Computing and Tracking Level Set Topology

Exploiting Concurrent GPU Operations for Efficient Work Stealing on Multi-GPUs

A fast Texture-by-numbers synthesis method based on texture optimization

Parallel Execution of Constraint Handling Rules on a Graphical Processing Unit

Increasing the performance of AllToAll variant of self-organizing migration algorithm using CUDA

Deterministic Parallelism

GPU-based tuning of quantum-inspired genetic algorithm for a combinatorial optimization problem

Improved Row-Grouped CSR Format for Storing of Sparse Matrices on GPU

GPU Shape Grammars

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

Most viewed papers (last 30 days)