high performance computing on graphics processing units: hgpu.org

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GPU-accelerated ray-tracing for real-time treatment planning

H. Heinrich, P. Ziegenhein, C. P. Kamerling, H. Froening, U. Oelfke

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Tags: Algorithms, CUDA, nVidia, Physics, Radiotherapy, Raytracing, Tesla K20

May 3, 2014 by hgpu

Implementation of a PIC simulation using WebGL

Leonard Weydemann

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Tags: Computer science, GLSL, Java, nVidia, nVidia GeForce GT 310, nVidia GeForce GTX 760 M, OpenGL, Particle-in-cell methods, Thesis

May 3, 2014 by hgpu

Coalition Structure Generation with the Graphics Processing Unit

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali Ramchurn, Tomasz P. Michalak, Talal Rahwan

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Source codes

Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 660, Package, Performance

May 3, 2014 by hgpu

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Yoshihito Sano, Yoshiaki Kadono, Naoki Fukuta

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Tags: Artificial intelligence, Computer science, nVidia, nVidia GeForce GT 320 M, OpenCL, Performance

May 3, 2014 by hgpu

Real-time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

Mao Ye, Ruigang Yang

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Tags: Algorithms, Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 560 Ti

May 2, 2014 by hgpu

3D FFT on a Single FPGA

Benjamin Humphries, Hansen Zhang, Jiayi Sheng, Raphael Landaverde, Martin C. Herbordt

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Tags: Computer science, CUDA, FFT, FPGA, nVidia, Tesla C1060, Tesla K20

May 2, 2014 by hgpu

Thickness computation of trimmed B-Rep model using GPU ray tracing

Gregoire Lemasson, Jean-Claude Iehl, Florence Zara, Behzad Shariat, Vincent Baudet, Philippe Arthaud

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Tags: Computer science, nVidia, nVidia GeForce GTX 580, OpenCL, Raytracing

April 30, 2014 by hgpu

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

Laurence Dawson, Iain A. Stewart

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Tags: Algorithms, Computer science, Computer vision, CUDA, Image processing, Metaheuristics, nVidia, nVidia GeForce GTX 580

April 30, 2014 by hgpu

Atmospheric Chemistry

Istvan Lagzi, Robert Meszaros, Gyorgyi Gelybo, Adam Leelossy

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Tags: Book, Chemistry, CUDA, Earth and Space Sciences, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 8800 GTX, Review

April 30, 2014 by hgpu

Exercising high-level parallel programming on streams: a systems biology use case

Marco Aldinucci, Maurizio Drocco, Guilherme Peretti Pezzi, Claudia Misale, Fabio Tordini, Massimo Torquati

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Tags: Bioinformatics, Biology, Cloud, CUDA, Monte Carlo simulation, nVidia, Tesla K40

April 30, 2014 by hgpu

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

Jinglian Wang, Bin Gong, Hong Liu, Shaohui Li, Juan Yi

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Tags: Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Task scheduling

April 29, 2014 by hgpu

Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing

Alexander Agathos, Jun Li, Dana Petcu, Antonio Plaza

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Tags: Algorithms, Computer science, CUDA, GPU cluster, nVidia, Sensing, Tesla M2070

April 29, 2014 by hgpu

Kernel Library for LLM Serving

Compiler and Runtime Systems for Generative AI Models

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

A Performance Portable Matrix Free Dense MTTKRP in GenTen

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

Accelerating cosmological simulations on GPUs: a portable approach using OpenMP

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

ConCuR: Conciseness Makes State-of-the-Art Kernel Generation

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

VibeCodeHPC: An Agent-Based Iterative Prompting Auto-Tuner for HPC Code Generation Using LLMs

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

exa-AMD: An Exascale-Ready Framework for Accelerating the Discovery and Design of Functional Materials

See all packages

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high performance computing on graphics processing units: hgpu.org

GPU-accelerated ray-tracing for real-time treatment planning

Implementation of a PIC simulation using WebGL

Coalition Structure Generation with the Graphics Processing Unit

A Performance Optimization Support Framework for GPU-based Traffic Simulations with Negotiating Agents

Real-time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera

3D FFT on a Single FPGA

Thickness computation of trimmed B-Rep model using GPU ray tracing

Accelerating Ant Colony Optimization-based Edge Detection on the GPU using CUDA

Atmospheric Chemistry

Heterogeneous Computing and Grid Scheduling with Hierarchically Parallel Evolutionary Algorithms

Multi-GPU Implementation of the Minimum Volume Simplex Analysis Algorithm for Hyperspectral Unmixing

Recent source codes

Kernel Library for LLM Serving

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

Neptune: Advanced ML Operator Fusion for Locality and Parallelism on GPUs

Genten: Software for Generalized Tensor Decompositions by Sandia National Laboratories

Interleaved Learning and Exploration: A Self-Adaptive Fuzz Testing Framework for MLIR

Pinocchio: PINpointing Orbit Crossing Collapsed Hierarchical Objects

KernelCoder: trained on a curated dataset of reasoning traces and CUDA kernel pairs

VibeCodeHPC - Multi Agentic Vibe Coding for HPC

Compile-Time Resource Safety for GPU APIs: A Low-Overhead Typestate Framework

exa-AMD: Exascale Accelerated Materials Discovery

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