high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenCL

GPGPU Accelerated Texture-Based Radiosity

Sungkono Surya Tjahyono, Christof Lutteroth, Burkhard Wunsche

View

Tags: Algorithms, Computational Complexity, Computer science, nVidia, nVidia GeForce GTX 550 Ti, OpenCL, OpenGL, Rendering

January 3, 2012 by hgpu

OpenCL Sparse Linear Solver for Circuit Simulation

Jason Mak, Matthew Guthaus

View

Download (PDF)

Tags: Algorithms, Computer science, Electronic design automation, nVidia, nVidia GeForce GTS 250, OpenCL

January 3, 2012 by hgpu

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Mayank Daga, Thomas Scogland, Wu-chun Feng

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Molecular modeling, nVidia, nVidia GeForce GTX 280, OpenCL, Optimization, Performance

January 3, 2012 by hgpu

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Xiangyun Liao, Zhiyong Yuan, Weixin Si, Zhaoliang Duan, Ruixue Mao, Jianhui Zhao

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5850, CUDA, Fluid dynamics, nVidia, nVidia GeForce 9600 GT, OpenCL, Physics, Rendering, Tesla C1060

January 3, 2012 by hgpu

Polly – Polyhedral optimization in LLVM

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

View

Download (PDF)

Tags: Code generation, Computer science, OpenCL, Optimization

January 2, 2012 by hgpu

Visualization assisted by parallel processing

B. Lange, W. Puech, and N. Rodriguez, H. Rey, X. Vasques

View

Download (PDF)

Tags: Algorithms, Benchmarking, Computer science, nVidia, nVidia GeForce GT 330, OpenCL, Rendering, Visualization, Voronoi diagram

December 29, 2011 by hgpu

OpenCL Programming Guide

Aaftab Munshi, Benedict Gaster, Timothy G. Mattson, James Fung, Dan Ginsburg

View

Download (PDF)

Tags: Algorithms, Book, Computer science, OpenCL, Tutorial

December 27, 2011 by hgpu

OpenCL in Action: How to Accelerate Graphics and Computations

Matthew Scarpino

Tags: Book, Computer science, OpenCL, Programming techniques, Tutorial

December 26, 2011 by hgpu

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

Niccolo Canestrari, Dimitris Karkoulis, Manuel Sanchez del Rio

View

Download (PDF)

Tags: Code generation, Computer science, Fortran, nVidia, OpenCL, Python, Raytracing, Tesla M2050

December 26, 2011 by hgpu

LatticeQCD using OpenCL

Matthias Bach, Owe Philipsen, Christopher Pinke, Christian Schafer, Lars Zeidlewicz

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, High Energy Physics - Lattice, nVidia, OpenCL, Physics, QCD, Tesla S2050

December 23, 2011 by hgpu

Implementation of a Parallel Tree Method on a GPU

Naohito Nakasato

View

Download (PDF)

Tags: Astrophysics, ATI, ATI IL, ATI Radeon HD 5870, Computational Complexity, Computer science, Galaxy Astrophysics, Instrumentation and Methods for Astrophysics, KD-tree, OpenCL, Optimization, Performance

December 21, 2011 by hgpu

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Pavel Kartashev, Vladislavs Nazaruk

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5750, Benchmarking, Computer science, nVidia, nVidia GeForce GT 240, OpenCL, Performance

December 20, 2011 by hgpu

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build & Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

CONCUR: Benchmarking LLMs for Concurrent Code Generation

HIPRT: Ray Tracing using HIP

Ray Tracing using HIP

MXFP4 Training Support Codebase

Practical FP4 Training for Large-Scale MoE Models on Hopper GPUs

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

GPGPU Accelerated Texture-Based Radiosity

OpenCL Sparse Linear Solver for Circuit Simulation

Architecture-Aware Mapping and Optimization on a 1600-Core GPU

Research and Application of Parallel Computing Technologies based on CUDA and OpenCL

Polly – Polyhedral optimization in LLVM

Visualization assisted by parallel processing

OpenCL Programming Guide

OpenCL in Action: How to Accelerate Graphics and Computations

SHADOW3 API: The Application Programming Interface for the ray tracing code SHADOW

LatticeQCD using OpenCL

Implementation of a Parallel Tree Method on a GPU

Analysis of GPGPU Platforms Efficiency in General-Purpose Computations

Recent source codes

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

RepoLaunch: Automating Build and Test Pipeline of Code Repositories on ANY Language and ANY Platform

CONCUR: a benchmark designed to evaluate multithreaded Java code generated by LLMs

HIPRT: Ray Tracing using HIP

MXFP4 Training Support Codebase

CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation

CUDABench: Benchmarking LLMs for Text-to-CUDA Generation

CL4SE: A Context Learning Benchmark For Software Engineering Tasks

CodeScaler: Scaling Code LLM Training and Test-Time Inference via Execution-Free Reward Models

A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5

Most viewed papers (last 30 days)