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Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

Marieke Huisman and Matej Mihelcic

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Tags: Computer science, OpenCL, Programming techniques

March 31, 2013 by hgpu

High Performance Computing using GPGPU’s

Omar Usman Khan

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Source codes

Tags: Electrodynamics, FFT, nVidia, nVidia GeForce GTX 260, OpenCL, Package, Thesis

March 29, 2013 by hgpu

Accelerating Graph Analysis with Heterogeneous Systems

Ate Penders

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Tags: Algorithms, Computer science, Graph theory, Heterogeneous systems, nVidia, nVidia GeForce GTX 480, OpenCL, Tesla C2050, Thesis

March 29, 2013 by hgpu

Adaptive OpenCL (ACL) Execution in GPU Architectures

Dan Connors, Kyle Dunn, Jeff Wiencrot

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Tags: Algorithms, Computer science, DSP, Heterogeneous systems, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, OpenCL

March 26, 2013 by hgpu

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

Michael Christopher Delorme

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Tags: APU, ATI, ATI Radeon HD 5870, ATI Radeon HD 6530, ATI Radeon HD 6550, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

General Purpose Computation on Graphics Processing Units Using OpenCL

Fiaz Gul Khan

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Tags: Computer science, Electrodynamics, FFT, Heterogeneous systems, nVidia, nVidia GeForce GTX 260, nVidia Quadro FX 6000, OpenCL, Sorting, Thesis, Tutorial

March 26, 2013 by hgpu

Improving Performance Portability in OpenCL Programs

Yao Zhang, Mark Sinclair II, Andrew A. Chien

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Tags: APU, ATI, Benchmarking, Computer science, FFT, nVidia, OpenCL, Tesla C2050

March 26, 2013 by hgpu

How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab

Thibault Person, Francois Bodin

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Intel, Intel Phi, nVidia, OpenCL, Package, Performance, Portability, Tesla K20

March 24, 2013 by hgpu

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Shin Yoo, Mark Harman, Shmuel Ur

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Tags: Algorithms, ATI, ATI Radeon HD 4850, Computer science, Java, OpenCL, Software Engineering

March 21, 2013 by hgpu

Duplicate Detection on GPUs

Benedikt Forchhammer, Thorsten Papenbrock, Thomas Stening, Sven Viehmeier, Uwe Draisbach, Felix Naumann

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Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 570, OpenCL

March 21, 2013 by hgpu

Stream Join Processing on Heterogeneous Processors

Tomas Karnagel, Benjamin Schlegel, Dirk Habich, Wolfgang Lehner

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Tags: ATI, ATI Radeon HD 7660, Computer science, Heterogeneous systems, OpenCL

March 21, 2013 by hgpu

Symbolic Crosschecking of Data-Parallel Floating Point Code

Peter Cyrus Collingbourne

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Tags: Algorithms, Compilers, Computer science, nVidia, OpenCL, Package, Tesla C1060, Thesis

March 20, 2013 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

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high performance computing on graphics processing units: hgpu.org

Specification and Verification of GPGPU Programs using Permission-Based Separation Logic

High Performance Computing using GPGPU’s

Accelerating Graph Analysis with Heterogeneous Systems

Adaptive OpenCL (ACL) Execution in GPU Architectures

Parallel Sorting on the Heterogeneous AMD Fusion Accelerated Processing Unit

General Purpose Computation on Graphics Processing Units Using OpenCL

Improving Performance Portability in OpenCL Programs

How to Benefit from AMD, Intel and Nvidia Accelerator Technologies in Scilab

GPGPU Test Suite Minimisation: Search Based Software Engineering Performance Improvement Using Graphics Cards

Duplicate Detection on GPUs

Stream Join Processing on Heterogeneous Processors

Symbolic Crosschecking of Data-Parallel Floating Point Code

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

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