high performance computing on graphics processing units: hgpu.org

hgpu.org » OpenCL

Topical perspective on massive threading and parallelism

Robert M. Farber

Tags: Computer science, CUDA, nVidia, OpenCL, Review

August 16, 2011 by hgpu

THOR: A Transparent Heterogeneous Open Resource framework

J.L. Vazquez-Poletti, J. Perhac, J. Ryan, A.C. Elster

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Tags: Algorithms, Benchmarking, Cloud, Computer science, GPU cluster, Heterogeneous systems, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 470, OpenCL, Tesla S1070

August 10, 2011 by hgpu

Performance Comparison with OpenMP Parallelization for Multi-core Systems

Chao-Tung Yang, Tzu-Chieh Chang, Hsien-Yi Wang, William C.C. Chu, Chih-Hung Chang

Tags: Code generation, Compilers, Computer science, CUDA, Data parallelism, Fortran, nVidia, OpenCL, OpenMP, Performance

August 8, 2011 by hgpu

AES finalists implementation for GPU and multi-core CPU based on OpenCL

Xingliang Wang, Xiaochao Li, Mei Zou, Jun Zhou

Tags: AES, Benchmarking, Computer science, CUDA, nVidia, OpenCL, Security

August 8, 2011 by hgpu

A 3D radiative transfer framework: XIII. OpenCL implementation

Peter H. Hauschildt, E. Baron

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Tags: Astrophysics, ATI, ATI Radeon HD 4870, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 8600 M, nVidia GeForce 8800 GT, nVidia GeForce GT 120, nVidia GeForce GTX 285, nVidia Quadro FX 4800, OpenCL, Solar and Stellar Astrophysics, Tesla C2050

July 29, 2011 by hgpu

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

Alecio P.D. Binotto, Bernardo M.V. Pedras, Marcelo Goetz, Arjan Kuijper, Carlos E. Pereira, Andre Stork, Dieter W. Fellner

Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Task scheduling

July 27, 2011 by hgpu

A Comparison of xPU Platforms Exemplified with Ray Tracing Algorithms

Rafael Huff, Thomas Gierlinger, Arjan Kuijper, Andre Stork, Dieter Fellner

Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, OpenCL, Raytracing

July 22, 2011 by hgpu

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Katsuto Sato, Kazuhiko Komatsu, Hiroyuki Takizawa, Hiroaki Kobayashi

Tags: Computer science, Heterogeneous systems, OpenCL, Performance, Programming techniques

July 22, 2011 by hgpu

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

Ryo Aoki, Shuichi Oikawa, Takashi Nakamura, Satoshi Miki

Tags: Code generation, Computer science, GPU cluster, MPI, OpenCL

July 22, 2011 by hgpu

Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform

Zhiyong Yuan, Weixin Si, Xiangyun Liao, Zhaoliang Duan, Yihua Ding, Jianhui Zhao

Tags: Computer science, Fluid dynamics, Heterogeneous systems, Navier-Stokes equations, NSEs, OpenCL, Real-time graphics, Rendering

July 22, 2011 by hgpu

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

Konstantis Daloukas, Christos D. Antonopoulos, Nikolaos Bellas

Tags: Code generation, Compilers, Computer science, Heterogeneous systems, OpenCL

July 22, 2011 by hgpu

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Matthew J. Sottile, Craig E Rasmussen, Wayne N. Weseloh, Robert W. Robey, Daniel Quinlan, Jeffrey Overbey

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Source codes

Tags: Computer science, Fortran, nVidia, OpenCL, Package, Programming Languages, Tesla C2050

July 14, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Topical perspective on massive threading and parallelism

Performance Comparison with OpenMP Parallelization for Multi-core Systems

AES finalists implementation for GPU and multi-core CPU based on OpenCL

A 3D radiative transfer framework: XIII. OpenCL implementation

Effective Dynamic Scheduling on Heterogeneous Multi/Manycore Desktop Platforms

A Comparison of xPU Platforms Exemplified with Ray Tracing Algorithms

A History-Based Performance Prediction Model with Profile Data Classification for Automatic Task Allocation in Heterogeneous Computing Systems

Hybrid OpenCL: Enhancing OpenCL for Distributed Processing

Parallel computing of 3D smoking simulation based on OpenCL heterogeneous platform

GLOpenCL: OpenCL support on hardware- and software-managed cache multicores

ForOpenCL: Transformations Exploiting Array Syntax in Fortran for Accelerator Programming

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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