high performance computing on graphics processing units: hgpu.org

Applications

hgpu.org » Applications » Computer science

Visualization and Analysis of GPU Summer School Applicants and Participants

Elaine Wah, Erik Johnson, Loretta Auvil, Umesh Thakkar, Wen-Mei Hwu, David Kirk, Thom H. Dunning, Sharon C. Glotzer

Tags: Computer science, Data mining, Visualization

May 23, 2011 by hgpu

GPU-Based Cell Projection for Interactive Volume Rendering

Ricardo Marroquim, Andre Maximo, Ricardo Farias, Claudio Esperanca

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Tags: Algorithms, Computer science, GLSL, nVidia, nVidia GeForce 6800, OpenGL, Package, Rendering

May 23, 2011 by hgpu

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

Guibin Wang

Tags: Computer science, CUDA, Energy-efficient computing, nVidia, Programming techniques

May 22, 2011 by hgpu

GPU-Accelerated Shape Simplification for Mechanical-Based Applications

Jon Hjelmervik, Jean-Claude Leon

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Tags: 3D Graphics and Realism, Algorithms, Computer science, Finite element method, nVidia, nVidia GeForce 7800 GT, OpenGL

May 22, 2011 by hgpu

Secret Key Cryptography Using Graphics Cards

Debra L. Cook, John Ioannidis, Angelos D. Keromytis

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Tags: AES, ATI, ATI Mobility Radeon 7500, Block Ciphers, Computer science, nVidia, nVidia GeForce 3, OpenGL, Security, Stream Ciphers

May 22, 2011 by hgpu

Realistic rendering of surface appearance using GPU

Baining Guo

Tags: 3D Graphics and Realism, Computer science, Rendering

May 22, 2011 by hgpu

Scalable packet classification via GPU metaprogramming

Kang Kang, Yangdong Steve Deng

Tags: Computer science, Network communications, Software router

May 22, 2011 by hgpu

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

Matthew Flagg, Jay Summet, James M. Rehg

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Tags: Computer vision, DirectX, Image processing, nVidia, nVidia GeForce FX 6800 GT, Package

May 22, 2011 by hgpu

Improving performance for emergent environments parameter tuning and simulation in games using GPU

C. Salwala, V. Kotrajaras, P. Horkaew

Tags: Computer science, Games, Genetic programming

May 22, 2011 by hgpu

A GPU-based closed frequent itemsets mining algorithm over stream

Haifeng Li

Tags: Algorithms, Computer science, Data mining

May 22, 2011 by hgpu

An architecture design of GPU-accelerated VoD streaming servers with network coding

Jin Zhao, Xinya Zhang, Xin Wang

Tags: Computer science, Image processing, Networks, Video decoding

May 21, 2011 by hgpu

A comprehensive analysis and parallelization of an image retrieval algorithm

Zhenman Fang, Donglei Yang, Weihua Zhang, Haibo Chen, Binyu Zang

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Tags: Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GTX 260, Presentation

May 21, 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

Visualization and Analysis of GPU Summer School Applicants and Participants

GPU-Based Cell Projection for Interactive Volume Rendering

Coordinate strip-mining and kernel fusion to lower power consumption on GPU

GPU-Accelerated Shape Simplification for Mechanical-Based Applications

Secret Key Cryptography Using Graphics Cards

Realistic rendering of surface appearance using GPU

Scalable packet classification via GPU metaprogramming

Improving the Speed of Virtual Rear Projection: A GPU-Centric Architecture

Improving performance for emergent environments parameter tuning and simulation in games using GPU

A GPU-based closed frequent itemsets mining algorithm over stream

An architecture design of GPU-accelerated VoD streaming servers with network coding

A comprehensive analysis and parallelization of an image retrieval algorithm

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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