high performance computing on graphics processing units: hgpu.org

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On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

A. Castello, J. Duato, R. Mayo, A. J. Pena, E. S. Quintana-Orti, V. Roca, F. Silla

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Tags: Bioinformatics, Computer science, CUDA, Energy-efficient computing, Heterogeneous systems, Molecular dynamics, nVidia, nVidia GeForce GTX 480, Virtualization

April 27, 2014 by hgpu

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Hartwig Anzt, Dimitar Lukarski, Stanimire Tomov, Jack Dongarra

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Tags: ATI, ATI Radeon HD 7970, Computer science, CUDA, Intel Xeon Phi, Linear Algebra, nVidia, OpenCL, Tesla K40

April 27, 2014 by hgpu

Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo

Bo Dong, Kathleen D. Moore, Weiyi Zhang, Pieter Peers

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 660 Ti, Rendering

April 27, 2014 by hgpu

Cellular GPU Models to Euclidean Optimization Problems

Naiyu Zhang

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Tags: Algorithms, Computer science, CUDA, Neural networks, nVidia, nVidia GeForce GTX 570, Optimization, Self-organizing map, Thesis

April 27, 2014 by hgpu

On the Parallelization of Integer Polynomial Multiplication

Farnam Mansouri

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Tags: Algorithms, Computer science, CUDA, nVidia, Package, Symbolic Computation, Tesla C2050, Thesis

April 25, 2014 by hgpu

Integrating multi-threading and accelerators into DUNE-ISTL

Steffen Muthing, Dirk Ribbrock, Dominik Goddeke

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Tags: Computer science, CUDA, Heterogeneous systems, Linear Algebra, MPI, nVidia, Partial differential equations, PDEs, Tesla C2070

April 25, 2014 by hgpu

One weird trick for parallelizing convolutional neural networks

Alex Krizhevsky

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Tags: Computer science, CUDA, Machine learning, Neural and Evolutionary Computing, nVidia, Tesla K20

April 25, 2014 by hgpu

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Donald Lloyd van Blommestein

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Tags: Computer science, Computer vision, CUDA, Image recognition, nVidia, nVidia GeForce 9600 GT, OpenCV, Thesis

April 24, 2014 by hgpu

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Sergio Orts-Escolano, Jose Garcia-Rodriguez, Vicente Morell, Miguel Cazorla, Jorge Azorin, Juan Manuel Garcia-Chamizo

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Tags: Computer science, Computer vision, CUDA, Image processing, Neural networks, nVidia, nVidia GeForce GTX 480

April 24, 2014 by hgpu

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

Yunan Cao, Peiqing Ye, Qinjian Zhang, Jianyong Li

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Tags: CAD, Computer science, CUDA, nVidia

April 24, 2014 by hgpu

A GPU Framework for Sparse Matrix Vector Multiplication

B. Neelima, G. Ram Mohana Reddy, Prakash S. Raghavendra

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 470, Sparse matrix

April 24, 2014 by hgpu

Faster Maliciously Secure Two-Party Computation Using the GPU

Tore Kasper Frederiksen, Thomas P. Jakobsen, Jesper Buus Nielsen

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 670, Security

April 22, 2014 by hgpu

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

PyOMP: Parallel programming for CPUs and GPUs with OpenMP and Python

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

Understanding GEMM Performance and Energy on NVIDIA Ada Lovelace: A Machine Learning-Based Analytical Approach

HiRep

Scaling SU(2) to 1000 GPUs using HiRep

Gaia AVU-GSR

Performance portability via C++ PSTL, SYCL, OpenMP, and HIP: the Gaia AVU-GSR case study

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

gpuPairHMM: High-speed Pair-HMM Forward Algorithm for DNA Variant Calling on GPUs

See all packages

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high performance computing on graphics processing units: hgpu.org

On the Use of Remote GPUs and Low-Power Processors for the Acceleration of Scientific Applications

Self-Adaptive Multiprecision Preconditioners on Multicore and Manycore Architectures

Scattering Parameters and Surface Normals from Homogeneous Translucent Materials using Photometric Stereo

Cellular GPU Models to Euclidean Optimization Problems

On the Parallelization of Integer Polynomial Multiplication

Integrating multi-threading and accelerators into DUNE-ISTL

One weird trick for parallelizing convolutional neural networks

Automating a Labour Performance Measurement and Risk Assessment: An Evaluation of Methods for a Computer Vision based System

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

Discrete Planning Unit Look-ahead Velocity Control Strategy and Parallelization Research based on GPU

A GPU Framework for Sparse Matrix Vector Multiplication

Faster Maliciously Secure Two-Party Computation Using the GPU

Recent source codes

tdg-benchs: benchmarks used to test the performance of taskgraph

SW#SYCL

LLOR: Automatic Repair of OpenMP Programs

Solomon: Simple Off-LOading Macros Orchestrating multiple Notations

CLUEstering: a high-performance density-based clustering library for scientific computing

PyOMP: OpenMP for Python in Numba

GPPerf: Energy-Aware GPU Performance Prediction and Optimization Framework

HiRep

Gaia AVU-GSR

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

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