high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

Chi-Jer Yu, Chii-Tung Liu

Tags: Computer science, CUDA, Finite volume method, Fluid dynamics, Numerical simulation, nVidia, nVidia GeForce GTX 280

June 17, 2011 by hgpu

A real-time subsurface scattering rendering method for dynamic objects

Li Shuai, Hao Ai-min, Wang Zhen, Lian Ren-ming

Tags: Computer science, Rendering

June 17, 2011 by hgpu

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video

Chi-Wing Fu, Liang Wan, Tien-Tsin Wong, Chi-Sing Leung

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Tags: Computer science, nVidia, nVidia GeForce 6800, nVidia GeForce 7800, OpenGL, Video decoding, Wavelet

June 17, 2011 by hgpu

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

L.D. Solano-Quinde, B.M. Bode, A.K. Somani

Tags: Computer science, Fault simulation

June 17, 2011 by hgpu

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

Byunghyun Jang, Dana Schaa, Perhaad Mistry, David Kaeli

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Tags: ATI, ATI Radeon HD 3870, Brook, Computer science, CUDA, Data parallelism, Memory model, nVidia, nVidia GeForce GTX 285, Review

June 17, 2011 by hgpu

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

Ian Stewart, Shujia Zhou

Tags: Cell processor, Computer science, Memory model, nVidia

June 17, 2011 by hgpu

GPGPU-based Gaussian Filtering for Surface Metrological Data Processing

Yang Su, Zhijie Xu, Xiangqian Jiang

Tags: Computer science, Filtering, Visualization

June 16, 2011 by hgpu

Efficient High-Quality Volume Rendering of SPH Data

Roland Fraedrich, Stefan Auer, Rudiger Westermann

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Tags: Computer science, nVidia, nVidia GeForce GTX 280, Rendering, Visualization, Voxelization

June 16, 2011 by hgpu

Architecture, Design, and Experimental Evaluation of a Lightfield Descriptor Depth Buffer Algorithm on Reconfigurable Logic and on a GPU

Matina Lakka, Grigorios Chrysos, Ioannis Papaefstathiou, Apostolos Dollas

Tags: Computer science, FPGA, Information Retrieval, nVidia, Performance

June 16, 2011 by hgpu

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Petr Gajdos, Jan Platos, Pavel Moravec

Tags: Computer science, Image recognition, Nonnegative matrix factorization

June 16, 2011 by hgpu

Potential of General Purpose Graphic Processing Unit for Energy Management System

Jean-Charles Tournier, Vaibhav Donde, Zhao Li

Tags: Computational Engineering, Computer science, Power Systems Simulation, Sparse linear iterative solvers

June 16, 2011 by hgpu

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

Jose R. Sanjurjo, Margarita Amor, Montserrat Boo, Ramon Doallo

Tags: Algorithms, Computer science, Monte Carlo simulation, Performance

June 16, 2011 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

The Possibility of Fast Large-Scale Numerical Simulation Implemented with Graphics Processing Units

A real-time subsurface scattering rendering method for dynamic objects

The Rhombic Dodecahedron Map: An Efficient Scheme for Encoding Panoramic Video

Coarse grain computation-communication overlap for efficient application-level checkpointing for GPUs

Exploiting Memory Access Patterns to Improve Memory Performance in Data-Parallel Architectures

A Memory Centric Kernel Framework for Accelerating Short-Range, Interactive Particle Simulation

GPGPU-based Gaussian Filtering for Surface Metrological Data Processing

Efficient High-Quality Volume Rendering of SPH Data

Architecture, Design, and Experimental Evaluation of a Lightfield Descriptor Depth Buffer Algorithm on Reconfigurable Logic and on a GPU

Iris recognition on GPU with the usage of Non-Negative Matrix Factorization

Potential of General Purpose Graphic Processing Unit for Energy Management System

High-Performance Monte Carlo Radiosity on GPU based on Scene Partitioning

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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