high performance computing on graphics processing units: hgpu.org

Programming

hgpu.org » Programming

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

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

Deian Stefan

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Tags: Algorithms, Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 295, Optimization, Security, Stream Ciphers, Thesis

October 21, 2011 by hgpu

On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences

Jeyarajan Thiyagalingam, Daniel Goodman, Julia A. Schnabel, Anne Trefethen, Vicente Grau

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Tags: Algorithms, CUDA, Databases, Image processing, Medicine, nVidia, nVidia GeForce GTX 480, Tesla C2070

October 21, 2011 by hgpu

Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

S. Pratap Vanka, Aaron F. Shinn, Kirti C. Sahu

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Tags: Algorithms, CUDA, Fluid dynamics, nVidia, Review, Tesla C1060

October 21, 2011 by hgpu

DOPA: GPU-based protein alignment using database and memory access optimizations

Laiq Hasan, Marijn Kentie, Zaid Al-Ars

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Tags: Algorithms, Bioinformatics, Biology, Computational Complexity, CUDA, Databases, nVidia, nVidia GeForce GTX 275, Optimization, Package, Sequence alignment, Smith-Waterman algorithm

October 21, 2011 by hgpu

Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control

Sergei Morozov, Sudhanshu Mathur

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Tags: CUDA, Finance, Fortran, Machine learning, nVidia, nVidia GeForce GTX 280, Package

October 21, 2011 by hgpu

Accelerating exotic option pricing and model calibration using GPUs

Andre Bernemann, Ralph Schreyer, Klaus Spanderen

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Tags: CUDA, Finance, GPU cluster, Monte Carlo simulation, nVidia, Tesla C1060

October 21, 2011 by hgpu

OpenMP for Accelerators

James C. Beyer, Eric J. Stotzer, Alistair Hart, Bronis R. de Supinski

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Tags: Computer science, CUDA, DSP, Fortran, nVidia, OpenMP, Tesla C2050

October 21, 2011 by hgpu

Efficient Synchronization Primitives for GPUs

Jeff A. Stuart, John D. Owens

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data Structures and Algorithms, nVidia, nVidia GeForce GTX 295, nVidia GeForce GTX 580, Operating systems

October 21, 2011 by hgpu

Automatic program analysis for data parallel kernels

Calin Juravle

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Tags: Computer science, CUDA, nVidia, Optimization, Performance, Programming techniques, Thesis

October 20, 2011 by hgpu

GPU Accelerated X-Ray Image Enhancement

Mark James Brotherton

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Tags: Algorithms, DirectX, HLSL, Image processing, OpenMP, Review, Thesis

October 20, 2011 by hgpu

Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

Dan Negrut, Toby Heyn, Andrew Seidl, Dan Melanz, David Gorsich, David Lamb

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Tags: Collision detection, Computer science, CUDA, Distributed computing, Heterogeneous systems, nVidia, Tesla C1060, Visualization

October 20, 2011 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

Programming

Solving Linear Recurrences on Hybrid GPU Accelerated Manycore Systems

Analysis and Implementation of eSTREAM and SHA-3 Cryptographic Algorithms

On the Usage of GPUs for Efficient Motion Estimation in Medical Image Sequences

Computational Fluid Dynamics Using Graphics Processing Units: Challenges and Opportunities

DOPA: GPU-based protein alignment using database and memory access optimizations

Massively parallel computation using graphics processors with application to optimal experimentation in dynamic control

Accelerating exotic option pricing and model calibration using GPUs

OpenMP for Accelerators

Efficient Synchronization Primitives for GPUs

Automatic program analysis for data parallel kernels

GPU Accelerated X-Ray Image Enhancement

Enabling Computational Dynamics in Distributed Computing Environments Using a Heterogeneous Computing Template

Recent source codes

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

Gaia AVU-GSR

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

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