high performance computing on graphics processing units: hgpu.org

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Encapsulated synchronization and load-balance in heterogeneous programming

Yuri Torres, Arturo Gonzalez-Escribano, Diego Llanos

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Tags: Computer science, CUDA, Heterogeneous systems, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 9600 GT, Performance

June 9, 2012 by hgpu

Sparse LU Factorization for Parallel Circuit Simulation on GPU

Ling Ren, Xiaoming Chen, Yu Wang, Chenxi Zhang, Huazhong Yang

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Tags: ATI, ATI Radeon HD 5870, CAD, Computer science, CUDA, Factorization, nVidia, nVidia GeForce GTX 580, OpenCL, Performance

June 9, 2012 by hgpu

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Jonathan Ragan-Kelley, Andrew Adams, Sylvain Paris, Marc Levoy, Saman Amarasinghe, Fredo Durand

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Tags: Algorithms, CUDA, Filtering, Image processing, nVidia, Tesla C2070

June 8, 2012 by hgpu

Ameliorating Memory Contention of OLAP operators on GPU Processors

Evangelia A. Sitaridi, Kenneth A. Ross

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Tags: Computer science, CUDA, Databases, nVidia, Tesla C2070

June 8, 2012 by hgpu

A Comparison of Algebraic Multigrid Preconditioners using Graphics Processing Units and Multi-Core Central Processing Units

Markus Wagner, Karl Rupp, Josef Weinbub

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Tags: Computer science, nVidia, nVidia GeForce GTX 470, OpenCL, Performance

June 8, 2012 by hgpu

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Naohito Nakasato, Go Ogiya, Yohei Miki, Masao Mori, Ken'ichi Nomoto

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Tags: Algorithms, Astrophysics, ATI, ATI Radeon HD 6530, ATI Radeon HD 7970, Computational Physics, Heterogeneous systems, Instrumentation and Methods for Astrophysics, N-body simulation, nVidia, OpenCL, Particle simulation, PC cluster, Tesla M2090

June 8, 2012 by hgpu

Parallel random variates generator for GPUs based on normal numbers

Gleb Beliakov, Michael Johnstone, Doug Creighton, Tim Wilkin

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Tags: Algorithms, Computer science, CUDA, Mathematical Software, Numerical Analysis, nVidia, Probability, Pseudo-random number generators, Tesla C2050

June 8, 2012 by hgpu

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

Feng Ji, Ashwin M. Aji, James Dinan, Darius Buntinas, Pavan Balaji, Rajeev Thakur, Wu-Chun Feng, Xiaosong Ma

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Tags: Benchmarking, Computer science, CUDA, MPI, nVidia, Tesla M2070

June 6, 2012 by hgpu

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

D.P.Playne, K.A. Hawick

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Tags: Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla C2070

June 6, 2012 by hgpu

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

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

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Tags: Algorithms, Astrophysics, Cluster computing, Computational Physics, Cosmology, Cosmology and Extragalactic Astrophysics, CUDA, Heterogeneous systems, MPI, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla S1070

June 6, 2012 by hgpu

Using visualization to reveal weak cryptosystems

Eirik Eggesbo Ottesen

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Tags: Computer science, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 560 Ti, nVidia GeForce GTX 570, nVidia GeForce GTX 680, Security, Thesis, Visualization

June 5, 2012 by hgpu

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

David Clarke, Aleksandar Ilic, Alexey Lastovetsky, Leonel Sousa

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Tags: Computer science, CPU cluster, GPU cluster, Heterogeneous systems, Matrix multiplication, nVidia, Tesla C2050, Tesla T10

June 5, 2012 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

Encapsulated synchronization and load-balance in heterogeneous programming

Sparse LU Factorization for Parallel Circuit Simulation on GPU

Decoupling Algorithms from Schedules for Easy Optimization of Image Processing Pipelines

Ameliorating Memory Contention of OLAP operators on GPU Processors

A Comparison of Algebraic Multigrid Preconditioners using Graphics Processing Units and Multi-Core Central Processing Units

Astrophysical Particle Simulations on Heterogeneous CPU-GPU Systems

Parallel random variates generator for GPUs based on normal numbers

DMA-Assisted, Intranode Communication in GPU Accelerated Systems

Classical Mechanical Hard-Core Particles Simulated in a Rigid Enclosure using Multi-GPU Systems

Parallel Spherical Harmonic Transforms on heterogeneous architectures (GPUs/multi-core CPUs)

Using visualization to reveal weak cryptosystems

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

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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