high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

RDMA-Based Job Migration Framework for MPI over InfiniBand

Xiangyong Ouyang, Sonya Marcarelli, Raghunath Rajach, K. P. Dhabaleswar

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Tags: Algorithms, Computer science, MPI

March 17, 2011 by hgpu

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Jonathan Lefman, Keana Scott, Stephan Stranick

Tags: Computer science, CUDA, Microscopy, nVidia

March 17, 2011 by hgpu

Memory-Scalable GPU Spatial Hierarchy Construction

Qiming Hou, Xin Sun, Kun Zhou, Christian Lauterbach, Dinesh Manocha, Baining Guo

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Tags: Computer science, CUDA, KD-tree, Memory, nVidia, nVidia GeForce GTX 280

March 17, 2011 by hgpu

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

Svetlin A. Manavski

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Tags: AES, ATI, ATI Radeon X1900, Computer science, CUDA, nVidia, nVidia GeForce 8800 GTX, OpenGL, Security

March 17, 2011 by hgpu

High-Throughput Transaction Executions on Graphics Processors

Bingsheng He, Jeffrey Xu Yu

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Tags: Computer science, CUDA, Databases, nVidia, Optimization, Tesla C1060

March 17, 2011 by hgpu

Direct evaluation of NURBS curves and surfaces on the GPU

Adarsh Krishnamurthy, Rahul Khardekar, Sara Mcmains

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Tags: 3D Graphics and Realism, ATI, ATI Radeon X1900, Computer science, nVidia, nVidia GeForce FX 6800, nVidia Quadro FX 3000, nVidia Quadro FX 4500, OpenGL

March 16, 2011 by hgpu

Implementing the Himeno benchmark with CUDA on GPU clusters

Everett H. Phillips, Massimiliano Fatica

Tags: Benchmarking, Computer science, CUDA, GPU cluster, nVidia, Performance, Tesla C1060

March 16, 2011 by hgpu

GPU-Based Techniques For Global Illumination Effects

L Szirmay-Kalos, Laszlo Szecsi, Mateu Sbert

Tags: 3D Graphics and Realism, Book, Computer science, DirectX, OpenGL, Programming techniques

March 16, 2011 by hgpu

GPU-based frequency domain volume rendering

Ivan Viola, Armin Kanitsar, Meister Eduard Groller

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Tags: ATI, ATI Radeon 9800 XT, Computer science, Image generation, OpenGL, Rendering

March 16, 2011 by hgpu

Patterns of Inefficient Performance Behavior in GPU Applications

Dominic Eschweiler, Daniel Becker, Felix Wolf

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Optimization, Performance, Tesla T10

March 16, 2011 by hgpu

Efficient Shadows for GPU-based Volume Raycasting

Timo Ropinski, Jens Kasten

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 8800 GTX, Rendering

March 15, 2011 by hgpu

Interactive GPU-based Collision Detection

Joachim Georgii, J Kruger, R Westermann

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Tags: Collision detection, Computer science, DirectX, nVidia, nVidia GeForce 7800 GTX

March 15, 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

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high performance computing on graphics processing units: hgpu.org

Applications

RDMA-Based Job Migration Framework for MPI over InfiniBand

Live, Video-Rate Super-Resolution Microscopy Using Structured Illumination and Rapid GPU-Based Parallel Processing

Memory-Scalable GPU Spatial Hierarchy Construction

CUDA Compatible GPU as an Efficient Hardware Accelerator for AES Cryptography

High-Throughput Transaction Executions on Graphics Processors

Direct evaluation of NURBS curves and surfaces on the GPU

Implementing the Himeno benchmark with CUDA on GPU clusters

GPU-Based Techniques For Global Illumination Effects

GPU-based frequency domain volume rendering

Patterns of Inefficient Performance Behavior in GPU Applications

Efficient Shadows for GPU-based Volume Raycasting

Interactive GPU-based Collision Detection

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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