high performance computing on graphics processing units: hgpu.org

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Region Templates: Data Representation and Management for Large-Scale Image Analysis

George Teodoro, Tony Pan, Tahsin Kurc, Jun Kong, Lee Cooper, Scott Klasky, Joel Saltz

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Tags: Computer science, CUDA, Heterogeneous systems, Hybrid computing, Microscopy, nVidia, OpenCV, Tesla M2090

June 2, 2014 by hgpu

Scaling Coupled Climate Models to Exascale: OpenACC-enabled ECEarth3 Earth System Model

P. Nolan, A. McKinstry

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Tags: CUDA, Earth and Space Sciences, Intel Xeon Phi, nVidia, OpenACC, Tesla M2090

May 16, 2014 by hgpu

Multi-GPGPU Cellular Automata Simulations using OpenACC

Sebastian Szkoda, Zbigniew Koza, Mateusz Tykierko

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Tags: Algorithms, Cellular automata, CUDA, Fluid dynamics, MPI, nVidia, nVidia GeForce GTX 480, OpenACC, Tesla C2090, Tesla K20, Tesla M2090

May 15, 2014 by hgpu

GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda

Shuang Wang, Jihoon Kim, Xiaoqian Jiang, Stefan F Brunner, Lucila Ohno-Machado

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Tags: Bioinformatics, Biology, CUDA, nVidia, Package, RNA, Smith-Waterman algorithm, Tesla M2090

May 10, 2014 by hgpu

A GPU-Based Enhanced Genetic Algorithm for Power-Aware Task Scheduling Problem in HPC Cloud

Nguyen Quang-Hung, Le Thanh Tan, Chiem Thach Phat, Nam Thoai

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Tags: Cloud, Computer science, CUDA, nVidia, Probability, Task scheduling, Tesla M2090

April 21, 2014 by hgpu

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

S. Rit, M. Vila Oliva, S. Brousmiche, R. Labarbe, D. Sarrut, G. C. Sharp

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Tags: Computed tomography, CT, CUDA, Medicine, nVidia, OpenCL, Package, Tesla M2090

April 18, 2014 by hgpu

Task-based FMM for heterogeneous architectures

Emmanuel Agullo, Berenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi

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Tags: Computer science, CUDA, Fast multipole method, Heterogeneous systems, Numerical simulation, nVidia, Tesla M2070, Tesla M2090

April 9, 2014 by hgpu

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

Neri Mickael, Denis Mestivier

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Tags: Algorithms, Biology, Computer science, CUDA, nVidia, Optimization, Stochastic simulation, Tesla K10, Tesla K20, Tesla M2075, Tesla M2090

April 4, 2014 by hgpu

A GPU Accelerated Aggregation Algebraic Multigrid Method

Rajesh Gandham, Ken Esler, Yongpeng Zhang

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Tags: Algorithms, CUDA, Mathematics, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 10, 2014 by hgpu

Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing

Seyong Lee, Dong Li, Jeffrey S. Vetter

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Tags: Benchmarking, Computer science, CUDA, nVidia, OpenACC, Performance, Tesla M2090

March 7, 2014 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 660 M, nVidia GeForce GTX 680, Performance, Tesla M2050, Tesla M2070, Tesla M2075, Tesla M2090

March 6, 2014 by hgpu

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

Dominik Zurek, Marcin Pietron, Maciej Wielgosz, Kazimierz Wiatr

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Tags: Algorithms, Computer science, CUDA, nVidia, OpenMP, Sorting, Tesla M2090

March 1, 2014 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

See all packages

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high performance computing on graphics processing units: hgpu.org

Region Templates: Data Representation and Management for Large-Scale Image Analysis

Scaling Coupled Climate Models to Exascale: OpenACC-enabled ECEarth3 Earth System Model

Multi-GPGPU Cellular Automata Simulations using OpenACC

GAMUT: GPU accelerated microRNA analysis to uncover target genes through CUDA-miRanda

The Reconstruction Toolkit (RTK), an open-source cone-beam CT reconstruction toolkit based on the Insight Toolkit (ITK)

Task-based FMM for heterogeneous architectures

An efficient GPU acceptance-rejection algorithm for the selection of the next reaction to occur for Stochastic Simulation Algorithms

A GPU Accelerated Aggregation Algebraic Multigrid Method

Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing

Performance Tradeoff Spectrum of Integer and Floating Point Applications Kernels on Various GPUs

Comparison of Hybrid Sorting Algorithms Implemented on Different Parallel Hardware Platforms

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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