high performance computing on graphics processing units: hgpu.org

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Process Time Comparison between GPU and CPU

Abhranil Das

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Tags: Computer science, CUDA, nVidia, Performance, Tesla C870

January 2, 2012 by hgpu

CudaHull: Fast Parallel 3D Convex Hull on the GPU

Ayal Stein, Eran Geva, Jihad El-Sana

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

January 2, 2012 by hgpu

Augmenting Operating Systems With the GPU

Weibin Sun, Robert Ricci

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Source codes

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, Operating systems, Package

January 2, 2012 by hgpu

Polly – Polyhedral optimization in LLVM

Tobias Grosser, Hongbin Zheng, Raghesh Aloor, Andreas Simburger, Armin Grosslinger, Louis-Noel Pouchet

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Tags: Code generation, Computer science, OpenCL, Optimization

January 2, 2012 by hgpu

Acceleration of real-life stencil codes on GPUs

Youcef Barigou

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Tags: Algorithms, Computer science, CUDA, Differential equations, Electrodynamics, FDTD, Finite-difference time-domain, Maxwell's equations, nVidia, Optimization

January 2, 2012 by hgpu

Programming of shared memory GPUs shared memory systems

Jean-Philippe Bergeron

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Tags: Computer science, CUDA, nVidia, nVidia GeForce 8800 GTS, Optimization, Programming techniques

January 2, 2012 by hgpu

Real-time GPU-based Simulation of Dynamic Terrain in Virtual Battlefield

Da Wang, Cheng Wang

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Tags: Algorithms, Computer science, Games, GLSL, nVidia, nVidia GeForce 7950 GTX, OpenGL, Real-time graphics, Visualization

January 1, 2012 by hgpu

Decreasing NAME III Solution Time Using GP-GPU

Kingsley Gale-Sides

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Tags: Benchmarking, Cloud, Computer science, CUDA, Fortran, MPI, nVidia, Tesla C2050, Tesla M1060, Thesis

January 1, 2012 by hgpu

Interactive Isosurfaces with Quadratic C1 Splines on Truncated Octahedral Partitions

Alexander Marinc, Thomas Kalbe, Markus Rhein, Michael Goesele

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, Visualization

January 1, 2012 by hgpu

Two Simple Single-pass GPU methods for Multi-channel Surface Voxelization of Dynamic Scenes

Athanasios Gaitatzes, Pavlos Mavridis, Georgios Papaioannou

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Tags: Algorithms, Computer science, Fluid simulation, GLSL, Image generation, nVidia, nVidia GeForce GTX 285, OpenGL, Rendering, Voxelization

January 1, 2012 by hgpu

GPU-Based Computation of Voxelized Minkowski Sums with Applications

Wei Li

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Tags: Algorithms, CAD, Collision detection, Computer science, CUDA, nVidia, nVidia Quadro FX 6000, Voxelization

December 31, 2011 by hgpu

Performance Considerations When Using a Dedicated Ray Traversal Engine

Tomas Davidovic, Lukas Marsalek, Philipp Slusallek

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

December 31, 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

Process Time Comparison between GPU and CPU

CudaHull: Fast Parallel 3D Convex Hull on the GPU

Augmenting Operating Systems With the GPU

Polly – Polyhedral optimization in LLVM

Acceleration of real-life stencil codes on GPUs

Programming of shared memory GPUs shared memory systems

Real-time GPU-based Simulation of Dynamic Terrain in Virtual Battlefield

Interactive Isosurfaces with Quadratic C1 Splines on Truncated Octahedral Partitions

Two Simple Single-pass GPU methods for Multi-channel Surface Voxelization of Dynamic Scenes

GPU-Based Computation of Voxelized Minkowski Sums with Applications

Performance Considerations When Using a Dedicated Ray Traversal Engine

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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