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High Performance Parallel Design Based on Session Programming

Nicholas Ng

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Tags: Algorithms, Computer science, CUDA, FPGA, Heterogeneous systems, Java, N-body simulation, nVidia, Package, Performance, Tesla, Thesis

October 11, 2011 by hgpu

Programming framework for clusters with heterogeneous accelerators

Anson H.T. Tse, David B. Thomas, K.H. Tsoi, Wayne Luk

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Tags: Computer science, Finance, FPGA, Heterogeneous systems, Physics, Programming techniques, Tesla

October 8, 2011 by hgpu

Heterogeneous NPACI-Rocks/MPI/CUDA distributed multi-GPGPU application for seeking counterexamples to Beal’s Conjecture: MPI/CUDA integration component

Sudhir Balasubramanian

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Tags: Algorithms, CUDA, Heterogeneous systems, Mathematics, MPI, nVidia, nVidia GeForce 8400 GS, Thesis

October 7, 2011 by hgpu

Intel’s Array Building Blocks: A retargetable, dynamic compiler and embedded language

Chris J. Newburn, Byoungro So, Zhenying Liu, Michael McCool, Anwar Ghuloum, Stefanus Du Toit, Zhi Gang Wang, Zhao Hui Du, Yongjian Chen, Gansha Wu, Peng Guo, Zhanglin Liu and Dan Zhang

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Tags: Benchmarking, Code generation, Computer science, Heterogeneous systems, Optimization

October 7, 2011 by hgpu

Python for Development of OpenMP and CUDA Kernels for Multidimensional Data

Zane W. Bell, Greg G. Davidson, Ed D'Azevedo, Thomas M. Evans, Wayne Joubert, John K. Munro, Jr., Dilip R. Patlolla, Bogdan Vacaliuc

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Tags: Boltzmann equation, CUDA, Heterogeneous systems, nVidia, Package, Physics, Presentation, Python, Tesla M2070

October 6, 2011 by hgpu

Accelerating a climate physics model with OpenCL

Fahad Zafar, Dibyajyoti Ghosh, Lawrence Sebald, Shujia Zhou

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Tags: Earth and Space Sciences, Heterogeneous systems, OpenCL, Physics, Presentation

October 6, 2011 by hgpu

Profiling Heterogeneous Multi-GPU Systems to Accelerate Cortically Inspired Learning Algorithms

Andrew Nere, Atif Hashmi, Mikko Lipasti

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Image recognition, Neural networks, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Tesla C2050

October 5, 2011 by hgpu

A Massive Data Parallel Computational Framework on Petascale/Exascale Hybrid Computer Systems

Marek Blazewicz, Steven R. Brandt, Peter Diener, David M. Koppelman, Krzysztof Kurowski, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: CUDA, Fluid dynamics, Heterogeneous systems, nVidia, OpenCL, Optimization, Package, Programming techniques, Tesla S1070

October 4, 2011 by hgpu

Fine-grained Parallel ILU Preconditioners with Fill-ins for Multi-core CPUs and GPUs

Vincent Heuveline, Dimitar Lukarski and Jan-philipp Weiss

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Tags: Algorithms, Computer science, FEM, Finite element method, Heterogeneous systems, Numerical simulation, OpenCL, Package, Partial differential equations, PDEs

October 4, 2011 by hgpu

Berkeley Dwarfs on CUDA

Paul Springer

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Tags: Benchmarking, Computer science, CUDA, Heterogeneous systems, nVidia, OpenCL, Tesla C2050, Thesis

October 4, 2011 by hgpu

Heterogeneous Computing with OpenCL

Benedict Gaster, David R. Kaeli, Lee Howes, Perhaad Mistry, Dana Schaa

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Tags: Algorithms, Book, Computer science, Heterogeneous systems, OpenCL, Optimization, Tutorial

October 3, 2011 by hgpu

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Gregory Diamos

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8800 GTS, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, Optimization, Package, PTX, Tesla C1060, Tesla S870, Thesis

October 2, 2011 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

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high performance computing on graphics processing units: hgpu.org

High Performance Parallel Design Based on Session Programming

Programming framework for clusters with heterogeneous accelerators

Heterogeneous NPACI-Rocks/MPI/CUDA distributed multi-GPGPU application for seeking counterexamples to Beal’s Conjecture: MPI/CUDA integration component

Intel’s Array Building Blocks: A retargetable, dynamic compiler and embedded language

Python for Development of OpenMP and CUDA Kernels for Multidimensional Data

Accelerating a climate physics model with OpenCL

Profiling Heterogeneous Multi-GPU Systems to Accelerate Cortically Inspired Learning Algorithms

A Massive Data Parallel Computational Framework on Petascale/Exascale Hybrid Computer Systems

Fine-grained Parallel ILU Preconditioners with Fill-ins for Multi-core CPUs and GPUs

Berkeley Dwarfs on CUDA

Heterogeneous Computing with OpenCL

An Execution Model and Runtime For Heterogeneous Many-Core Systems

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

gpuPairHMM: Ultra-fast GPU-based PairHMM for DNA Variant Calling

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