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Dense Dynamic Programming on Multi GPU

Vincent Boyer, Didier El Baz, Moussa Elkihel

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, nVidia, Tesla S1070

October 26, 2011 by hgpu

Solving Linear Recurrences on Hybrid GPU Accelerated Manycore Systems

Przemyslaw Stpiczynski

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Tags: Algorithms, BLAS, Computer science, CUDA, Hybrid computing, Linear Algebra, nVidia, Tesla C2050

October 21, 2011 by hgpu

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

Siegfried Benkner, Sabri Pllana, Jesper Larsson Traff, Philippas Tsigas, Uwe Dolinsky, Cedric Augonnet, Beverly Bachmayer, Christoph Kessler, David Moloney, Vitaly Osipov

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Tags: Code generation, Computer science, Heterogeneous systems, Hybrid computing, nVidia, OpenCL, Tesla C1060

October 20, 2011 by hgpu

directCell: hybrid systems with tightly coupled accelerators

H. Penner, U. Bacher, J. Kunigk, C. Rund, H. J. Schick

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Tags: Cell processor, Computer science, Hybrid computing, Performance

August 27, 2011 by hgpu

Experiences with hybrid clusters

Eric Van Hensbergen, Damir Jamsek

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Tags: Cell processor, Computational Complexity, Computer science, CUDA, Hybrid computing, MPI, nVidia, Presentation, Tesla

July 27, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

Object-oriented stream programming using aspects

Mingliang Wang, M. Parashar

Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques

March 7, 2011 by hgpu

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Mingliang Wang

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Tags: Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 280, Programming techniques, Thesis

March 7, 2011 by hgpu

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Chao-Tung Yang, Chih-Lin Huang, Cheng-Fang Lin

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla C1060, Tesla S1070

November 8, 2010 by hgpu

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

Stanimire Tomov, Jack Dongarra, Marc Baboulin

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Tags: Computer science, CUDA, Hybrid computing, Linear Algebra, nVidia, nVidia GeForce GTX 280

November 8, 2010 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

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high performance computing on graphics processing units: hgpu.org

Dense Dynamic Programming on Multi GPU

Solving Linear Recurrences on Hybrid GPU Accelerated Manycore Systems

PEPPHER: Efficient and Productive Usage of Hybrid Computing Systems

directCell: hybrid systems with tightly coupled accelerators

Experiences with hybrid clusters

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Object-oriented stream programming using aspects

Object-oriented stream programming using Aspects: a high-productivity programming paradigm for hybrid platforms

Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

Towards Dense Linear Algebra for Hybrid GPU Accelerated Manycore Systems

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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