high performance computing on graphics processing units: hgpu.org

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Modeling and generating complex motion blur for real-time tracking

Christopher Mei, Ian Reid

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Tags: Algorithms, Computer science, Computer vision, nVidia, nVidia GeForce 8800 GTX, Video tracking

February 1, 2011 by hgpu

Lazy Solid Texture Synthesis

Yue Dong, Sylvain Lefebvre, Xin Tong, George Drettakis

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

February 1, 2011 by hgpu

Constraint Fluids on GPU

Martin Nilsson

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Tags: Algorithms, Collision detection, Computer science, CUDA, Linear Algebra, nVidia, nVidia GeForce GTX 280, Thesis

February 1, 2011 by hgpu

GPU as a Parallel Machine: Sorting on the GPU

Joseph T. Kider Jr.

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce 6800 Ultra, Sorting

February 1, 2011 by hgpu

Towards Automated Learning of Object Detectors

Marc Ebner

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Tags: Algorithms, Computer vision, Image processing, OpenGL

January 31, 2011 by hgpu

Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)

Cong Wang, Yi-Jen Chiang

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia GeForce 9800 GTX

January 31, 2011 by hgpu

Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs

Jan Linxweiler, Manfred Krafczyk, Jonas Toelke

Tags: Algorithms, Fluid dynamics, Lattice Boltzmann model

January 31, 2011 by hgpu

Top-Performance Tokenization and Small-Ruleset Regular Expression Matching: A Quantitative Performance Analysis and Optimization Study on the Cell/B.E. Processor

Daniele Paolo Scarpazza

Tags: Algorithms, Cell processor, Computer science, Pattern Search

January 31, 2011 by hgpu

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Jamin Naghmouchi, Daniele P. Scarpazza, Mladen Berekovic

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce 8600 GT, nVidia GeForce GTX 280, Pattern Search, Programming techniques

January 31, 2011 by hgpu

Real-Time Depth-of-Field Rendering Using Point Splatting on Per-Pixel Layers

Sungkil Lee, Gerard Jounghyun Kim, Seungmoon Choi

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Tags: Algorithms, Computer science, Image generation, nVidia, nVidia GeForce 9800 GX2, OpenGL

January 30, 2011 by hgpu

Accelerating marching cubes with graphics hardware

Gunnar Johansson, Hamish Carr

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Tags: Algorithms, Cg, Computer science, Image generation, nVidia, nVidia GeForce 6800 GT, OpenGL

January 30, 2011 by hgpu

Implicit Boundary Control of Vector Field Based Shape Deformations

Wolfram von Funck, Holger Theisel, Hans-Peter Seidel

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Tags: 3D Graphics and Realism, Algorithms, Computer science, nVidia, nVidia GeForce 6800 GT

January 30, 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

Modeling and generating complex motion blur for real-time tracking

Lazy Solid Texture Synthesis

Constraint Fluids on GPU

GPU as a Parallel Machine: Sorting on the GPU

Towards Automated Learning of Object Detectors

Isosurface Extraction and View-Dependent Filtering from Time-Varying Fields Using Persistent Time-Octree (PTOT)

Highly interactive computational steering for coupled 3D flow problems utilizing multiple GPUs

Top-Performance Tokenization and Small-Ruleset Regular Expression Matching: A Quantitative Performance Analysis and Optimization Study on the Cell/B.E. Processor

Small-ruleset regular expression matching on GPGPUs: quantitative performance analysis and optimization

Real-Time Depth-of-Field Rendering Using Point Splatting on Per-Pixel Layers

Accelerating marching cubes with graphics hardware

Implicit Boundary Control of Vector Field Based Shape Deformations

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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