high performance computing on graphics processing units: hgpu.org

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Compiling a High-level Directive-Based Programming Model for GPGPUs

Xiaonan Tian, Rengan Xu, Yonghong Yan, Zhifeng Yun, Sunita Chandrasekaran, Barbara Chapman

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Tags: Benchmarking, Computer science, nVidia, OpenACC, Tesla K20

September 30, 2013 by hgpu

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

August Andren, Patrik Hagernas

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Tags: Benchmarking, Computer science, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 680, OpenACC, Tesla C2050, Tesla M2090

September 30, 2013 by hgpu

Trellis: Portability Across Architectures with a High-level Framework

Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, Kevin Skadron

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Tesla C2050

September 27, 2013 by hgpu

Evaluation of autoparallelization toolkits for commodity graphics hardware

David Williams, Valeriu Codreanu, Po Yang, Baoquan Liu, Feng Dong, Burhan Yasar, Babak Mahdian, Alessandro Chiarini, Xia Zhao, Jos B.T.M. Roerdink

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 680, OpenACC, Performance

September 24, 2013 by hgpu

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Kyle E Niemeyer, Chih-Jen Sung

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Tags: Algorithms, Computational Physics, CUDA, Fluid dynamics, Lattice Boltzmann model, Navier-Stokes equations, NSEs, nVidia, OpenACC, Package, Review, Tesla C2075

September 13, 2013 by hgpu

Comparative Analysis of OpenACC, OpenMP and CUDA using Sequential and Parallel Algorithms

Cleverson Lopes Ledur, Carlos M. D. Zeve, Julio C. S. dos Anjos

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 650, OpenACC, OpenMP, Performance

August 21, 2013 by hgpu

Early Experiences With The OpenMP Accelerator Model

Chunhua Liao, Yonghong Yan, Bronis R. de Supinski, Daniel J. Quinlan, Barbara Chapman

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, OpenACC, Package, Tesla K20

July 17, 2013 by hgpu

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

Dmitry Mikushin, Nikolay Likhogrud, Eddy Zheng Zhang, Christopher Bergstrom

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Tags: Code generation, Compilers, Computer science, CUDA, Fortran, nVidia, OpenACC, Package, PTX, Tesla K20

July 15, 2013 by hgpu

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Sai Kiran Korwar

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Tags: CUDA, Earth and Space Sciences, nVidia, OpenACC, Tesla C2070, Tesla K20, Tesla M2090, Tesla S2050, Thesis, Weather prediction

July 5, 2013 by hgpu

Parallel Language Programming In Different Platforms

Pau Vila Fernández

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Tags: Computer science, CUDA, OpenACC, OpenCL, Programming Languages, Thesis

June 21, 2013 by hgpu

Accelerating Financial Applications on the GPU

Scott Grauer-Gray, William Killian, Robert Searles, John Cavazos

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Tags: Computational finance, CUDA, Finance, nVidia, OpenACC, OpenCL, Package, Review, Tesla C2050, Tesla K20

May 6, 2013 by hgpu

A framework for data-access strategies in GPGPU programs

L.F.C.C. Mallens

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 640, nVidia GeForce GTS 250, OpenACC, Thesis

May 2, 2013 by hgpu

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

Shamrock: Multi-GPU hydrodynamics for astrophysics

The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

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high performance computing on graphics processing units: hgpu.org

Compiling a High-level Directive-Based Programming Model for GPGPUs

Data-parallel Acceleration of PARSEC Black-Scholes Benchmark

Trellis: Portability Across Architectures with a High-level Framework

Evaluation of autoparallelization toolkits for commodity graphics hardware

Recent progress and challenges in exploiting graphics processors in computational fluid dynamics

Comparative Analysis of OpenACC, OpenMP and CUDA using Sequential and Parallel Algorithms

Early Experiences With The OpenMP Accelerator Model

KernelGen – the design and implementation of a next generation compiler platform for accelerating numerical models on GPUs

GPU-enabled Efficient Executions of Radiation Calculations in Climate Modelling

Parallel Language Programming In Different Platforms

Accelerating Financial Applications on the GPU

A framework for data-access strategies in GPGPU programs

Recent source codes

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

Shamrock: Multi-GPU hydrodynamics for astrophysics

LLMPerf: GPU Performance Modeling meets Large Language Models

Hercules: A Compiler for Productive Programming of Heterogeneous Systems

Celerity Runtime: High-level C++ for Accelerator Clusters

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

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