high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenCL

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Ricardo Jorge dos Santos Marques

View

Tags: Algorithms, Computer science, nVidia, nVidia GeForce GTX 680, OpenCL, Optimization, Programming techniques, Tesla C2050

December 25, 2012 by hgpu

Bioinformatics Sequence Comparisons on Manycore Processors

Tuan Tu Tran

View

Download (PDF)

Tags: ATI, ATI Radeon HD 5870, Bioinformatics, Biology, nVidia, nVidia GeForce GTX 480, OpenCL, Review, Sequence matching, Thesis

December 25, 2012 by hgpu

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

View

Download (PDF)

Tags: ATI, ATI Radeon HD 6870, Computer science, Heterogeneous systems, nVidia, nVidia GeForce GT 540 M, OpenCL, Optimization

December 23, 2012 by hgpu

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Liam Kiemele

View

Download (PDF)

Source codes

Tags: Compilers, Computer science, nVidia, OpenCL, Package, Performance, Tesla C2075, Thesis

December 20, 2012 by hgpu

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Jinglin Zhang, Jean-Francois Nezan, Jean-Gabriel Cousin

View

Download (PDF)

Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce GTX 550 Ti, nVidia Quadro FX 3700, OpenCL

December 18, 2012 by hgpu

Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Michail Emmanouil Pappas

View

Download (PDF)

Tags: CUDA, Fluid dynamics, nVidia, nVidia Quadro FX 2000, OpenCL, Thesis

December 18, 2012 by hgpu

Circular Hough Transform in OpenCL

Seunghoon Park

View

Download (PDF)

Source codes

Tags: Computer science, Computer vision, CUDA, nVidia, nVidia GeForce GTX 555 M, OpenCL, Package

December 16, 2012 by hgpu

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Karl Jansson

View

Download (PDF)

Source codes

Tags: Algorithms, Computer science, CUDA, Data mining, DirectX, nVidia, nVidia GeForce GTX 460, OpenCL, Package, Thesis

December 15, 2012 by hgpu

Towards Domain-specific Computing for Stencil Codes in HPC

Richard Membarth, Frank Hannig, Jurgen Teich, Harald Kostler

View

Download (PDF)

Source codes

Tags: Algorithms, Code generation, Compression, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia Quadro FX 5800, OpenCL, Package, Tesla C2050

December 12, 2012 by hgpu

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Michael Vetter, Stephan Olbrich

View

Download (PDF)

Tags: Computer science, MPI, Numerical Analysis, nVidia, OpenCL, Tesla M2070, Visualization

December 12, 2012 by hgpu

Vectorized Higher Order Finite Difference Kernels

Gerhard Zumbusch

View

Download (PDF)

Tags: Algorithms, ATI, ATI Radeon HD 6990, ATI Radeon HD 7970, Computer science, Finite difference, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Performance, Tesla C2050, Tesla K20

December 10, 2012 by hgpu

Smoothed Particle Hydrodynamics Simulation for Continuous Casting

Adithya Vijaykumar

View

Download (PDF)

Tags: Fluid dynamics, nVidia, nVidia GeForce GTX 580, OpenCL, Solidification, Thesis

December 8, 2012 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

Algorithmic Skeleton Framework for the Orchestration of GPU Computations

Bioinformatics Sequence Comparisons on Manycore Processors

Implementation of Motion Estimation Based on Heterogeneous Parallel Computing System with OpenCL

KFusion: Obtaining Modularity and Performance with Regards to General Purpose GPU Computing and Co-processors

Implementation of Stereo Matching Using High Level Compiler for Parallel Computing Acceleration

Parallelisation of Shallow Water Simulation for Heterogeneous Architectures

Circular Hough Transform in OpenCL

Performance study of using the Direct Compute API for implementing Support vector machines on GPUs

Towards Domain-specific Computing for Stencil Codes in HPC

Hybrid Parallel Streamline Extraction Combining MPI and OpenCL

Vectorized Higher Order Finite Difference Kernels

Smoothed Particle Hydrodynamics Simulation for Continuous Casting

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)