high performance computing on graphics processing units: hgpu.org

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Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

D. Gohringer, M. Hubner, L. Hugot-Derville, J. Becker

Tags: Computer science, CUDA, MPI, nVidia, OpenCL, OpenGL

April 1, 2011 by hgpu

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

A. Bahga, V. K. Madisetti

Tags: Computer science, Heterogeneous systems, OpenCL, Task scheduling

April 1, 2011 by hgpu

Efficient PageRank and SpMV Computation on AMD GPUs

Tianji Wu, Bo Wang, Yi Shan, Feng Yan, Yu Wang, Ningyi Xu

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Tags: ATI, ATI CAL, ATI IL, ATI Radeon HD 5870, ATI Stream, Computer science, List ranking, OpenCL, Sparse matrix

April 1, 2011 by hgpu

Higher order FEM numerical integration on GPUs with OpenCL

Przemyslaw Plaszewski, Krzysztof Banas, Pawel Maciol

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Tags: Computer science, CUDA, FEM, Finite element method, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 275, nVidia GeForce GTX 285, OpenCL

April 1, 2011 by hgpu

Distributed computer emulation: Using OpenCL framework

Peter Jakubco, Norbert Adam, Eva Dankova

Tags: Computer science, Distributed computing, Heterogeneous systems, OpenCL

March 31, 2011 by hgpu

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

Joshua C. Bowden

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Tags: BLAS, Computer science, GPU cluster, MPI, nVidia, nVidia Quadro FX 580, OpenCL, Performance, Tesla C1060, Tesla S2050, Tesla T10

March 31, 2011 by hgpu

The AES Implantation Based on OpenCL for Multi/many Core Architecture

Osvaldo Gervasi, Diego Russo, Flavio Vella

Tags: AES, Computer science, OpenCL, Security

March 31, 2011 by hgpu

Evaluation Framework for GPU Performance Based on OpenCL Standard

M. Jurecko, J. Kocisova, J. Busa, T. Kasanicky, M. Domiter, M. Zvada

Tags: ATI, Computer science, GPU cluster, nVidia, OpenCL, Performance

March 31, 2011 by hgpu

CUDACL: A tool for CUDA and OpenCL programmers

Ferosh Jacob, David Whittaker, Sagar Thapaliya, Purushotham Bangalore, Marjan Mernik, Jeff Gray

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Tags: Computer science, CUDA, High-level Languages, Java, nVidia, nVidia GeForce GTX 260, OpenCL

March 31, 2011 by hgpu

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

J. Breitbart, C. Fohry

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Tags: Cell processor, Computer science, CUDA, Memory model, nVidia, nVidia GeForce GTX 280, OpenCL

March 31, 2011 by hgpu

OpenCL and parallel primitives for digital TV applications

S. M. Cho, D. W. Im, O. Y. Jang, H. J. Song, B. D. Paulovicks, V. Sheinin, H. Yeo

Tags: Cell processor, Computer science, OpenCL

March 30, 2011 by hgpu

OpenCL: Make Ubiquitous Supercomputing Possible

Slo-Li Chu, Chih-Chieh Hsiao

Tags: Computer science, OpenCL, OpenMP

March 30, 2011 by hgpu

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Tilus: A Tile-Level GPGPU Programming Language for Low-Precision Computation

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

See all packages

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high performance computing on graphics processing units: hgpu.org

Message Passing Interface support for the runtime adaptive multi-processor system-on-chip RAMPSoC

A Dynamic Resource Management and Scheduling Environment for Embedded Multimedia and Communications Platforms

Higher order FEM numerical integration on GPUs with OpenCL

Distributed computer emulation: Using OpenCL framework

Application of the OpenCL API for Implementation of the NIPALS Algorithm for Principal Component Analysis of Large Data Sets

The AES Implantation Based on OpenCL for Multi/many Core Architecture

Evaluation Framework for GPU Performance Based on OpenCL Standard

CUDACL: A tool for CUDA and OpenCL programmers

OpenCL – An effective programming model for data parallel computations at the Cell Broadband Engine

OpenCL and parallel primitives for digital TV applications

OpenCL: Make Ubiquitous Supercomputing Possible

Recent source codes

ParaCodex: A Profiling-Guided Autonomous Coding Agent for Reliable Parallel Code Generation and Translation

SeedFold: Scaling Biomolecular Structure Prediction

Tilus: A Tile-Level GPU Kernel Programming Language

Memory-Efficient Acceleration of Block Low-Rank Foundation Models on Resource Constrained GPUs

BoltzGen:Toward Universal Binder Design

CUDA-L2: Surpassing cuBLAS Performance for Matrix Multiplication through Reinforcement Learning

cuPilot: A Strategy-Coordinated Multi-agent Framework for CUDA Kernel Evolution

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

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