high performance computing on graphics processing units: hgpu.org

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hgpu.org » Applications » Computer science

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Guodong Han, Chenggang Zhang, King Tin Lam, Cho-Li Wang

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Java, nVidia, Performance, Tesla M2050

September 27, 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

OpenCL Task Partitioning in the Presence of GPU Contention

Dominik Grewe, Zheng Wang, and Michael F.P. O'Boyle

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Tags: Computer science, Heterogeneous systems, Intel, Intel HD Graphics 4000, Machine learning, OpenCL, Task scheduling

September 25, 2013 by hgpu

Large Graphs on multi-GPUs

Enrico Mastrostefano

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Tags: Algorithms, Computer science, CUDA, Graph theory, nVidia, Tesla X2090, Thesis

September 25, 2013 by hgpu

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

George Ungureanu

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Tags: Algorithms, Computer science, CUDA, Data parallelism, Heterogeneous systems, Image processing, nVidia, Thesis

September 25, 2013 by hgpu

Fast k-NNG construction with GPU-based quick multi-select

Ivan Komarov, Ali Dashti, Roshan D'Souza

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Tags: Algorithms, Bioinformatics, Clustering, Computer science, CUDA, Machine learning, Nearest neighbour, nVidia, Tesla C2050

September 25, 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

Pipeline strategies to accelerate range query processing on a multi-GPU environment

Ricardo J. Barrientos

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, Tesla M2070

September 24, 2013 by hgpu

Realtime Deformation of Constrained Meshes Using GPU

Alexandre Kaspar, Bailin Deng

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Tags: 3D Graphics and Realism, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

September 24, 2013 by hgpu

Parallel multi-agent path planning in dynamic environments for real-time applications

Alexander Dooms

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 560 Ti, Path problems, Thesis

September 24, 2013 by hgpu

GPU Based Massive Parallel Kawasaki Kinetics In Monte Carlo Modelling of Lipid Microdomains

Mateusz Lis, Lukasz Pintal

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Tags: Algorithms, Computer science, CUDA, Monte Carlo simulation, nVidia, Tesla M2090

September 24, 2013 by hgpu

Performance of OpenCL

Tadeusz Puzniakowski

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Tags: Algorithms, Computer science, Linear Algebra, nVidia, nVidia GeForce 8500 GT, nVidia Quadro 600, OpenCL, Tesla C2075

September 23, 2013 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Applications

Java with Auto-Parallelization on Graphics Coprocessing Architecture

Trellis: Portability Across Architectures with a High-level Framework

OpenCL Task Partitioning in the Presence of GPU Contention

Large Graphs on multi-GPUs

Automatic Software Synthesis from High-Level ForSyDe Models Targeting Massively Parallel Processors

Fast k-NNG construction with GPU-based quick multi-select

Evaluation of autoparallelization toolkits for commodity graphics hardware

Pipeline strategies to accelerate range query processing on a multi-GPU environment

Realtime Deformation of Constrained Meshes Using GPU

Parallel multi-agent path planning in dynamic environments for real-time applications

GPU Based Massive Parallel Kawasaki Kinetics In Monte Carlo Modelling of Lipid Microdomains

Performance of OpenCL

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Over-synchronization in GPU Programs

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Mixed-precision finite element kernels

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