high performance computing on graphics processing units: hgpu.org

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Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Debprakash Patnaik, Sean P. Ponce, Yong Cao, Naren Ramakrishnan

Tags: Computer science, CUDA, Data mining, nVidia, nVidia GeForce GTX 280

November 13, 2010 by hgpu

Stellar-mass black holes in star clusters: implications for gravitational wave radiation

Sambaran Banerjee, Holger Baumgardt, Pavel Kroupa

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Tags: Astrophysics, Black hole physics, Galaxy Astrophysics, Gravitational waves, High Energy Astrophysical Phenomena, N-body simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 280, nVidia GeForce GTX 285, Solar and Stellar Astrophysics, Stellar dynamics

November 13, 2010 by hgpu

The role of multigrid algorithms for LQCD

Ronald Babich, James Brannick, Richard C. Brower, Michael A. Clark, Saul D. Cohen, James C. Osborn, Claudio Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD

November 13, 2010 by hgpu

GPGPU based simulations for one and two dimensional quantum walks

Marek Sawerwain, Roman Gielerak

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Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 9600 GT, nVidia GeForce GTX 280, Physics, Quantum walks

November 12, 2010 by hgpu

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

Brice Boyer, Jean-Guillaume Dumas, Pascal Giorgi

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Source codes

Tags: Computer science, CUDA, Mathematical Software, nVidia, nVidia GeForce GTX 280, OpenMP, Package, Sparse matrix, Symbolic Computation

November 11, 2010 by hgpu

A GPU-based hyperbolic SVD algorithm

Vedran Novakovic, Sanja Singer

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Tags: Computer science, CUDA, Hyperbolic system, Mathematics, MPI, Numerical Analysis, nVidia, nVidia GeForce GTX 275, nVidia GeForce GTX 280, Tesla C1060

November 10, 2010 by hgpu

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Christian Trott, Lars Winterfeld

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Source codes

Tags: Computational Physics, Condensed matter, CUDA, GPU cluster, Materials Science, Molecular dynamics, MPI, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 295, Package, Performance, Physics, Tesla C1060, Tesla S1070

November 9, 2010 by hgpu

Direct N-body simulations of globular clusters: (I) Palomar 14

Akram Hasani Zonoozi, Andreas H.W. Kuepper, Holger Baumgardt, Hosein Haghi, Pavel Kroupa, Michael Hilker

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Tags: Astrophysics, Galaxy Astrophysics, Globular clusters, GPU cluster, N-body simulation, nVidia, nVidia GeForce GTX 280

November 9, 2010 by hgpu

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Antonio Wendell De Oliveira Rodrigues, Frederic Guyomarch, Yvonnick Le Menach, Jean-Luc Dekeyser

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Tags: Computer science, Conjugate gradient solver, CUDA, nVidia, nVidia GeForce GTX 280, Sparse matrix, Tesla C870

November 9, 2010 by hgpu

Nodal Discontinuous Galerkin Methods on Graphics Processors

Andreas Klockner, Tim Warburton, Jeffrey Bridge, Jan S. Hesthaven

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Tags: CUDA, Mathematics, Maxwell's equations, Numerical Analysis, nVidia, nVidia GeForce GTX 280

November 9, 2010 by hgpu

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

Weihang Zhu

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Tags: Computer science, CUDA, Differential evolution, Finance, nVidia, nVidia GeForce GTX 280, Pattern Search

November 9, 2010 by hgpu

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Jiri Barnat, Lubos Brim, Milan Ceska

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Tags: Computer science, CUDA, Distributed computing, nVidia, nVidia GeForce GTX 280, Software Engineering

November 9, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

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high performance computing on graphics processing units: hgpu.org

Accelerator-Oriented Algorithm Transformation for Temporal Data Mining

Stellar-mass black holes in star clusters: implications for gravitational wave radiation

The role of multigrid algorithms for LQCD

GPGPU based simulations for one and two dimensional quantum walks

Exact Sparse Matrix-Vector Multiplication on GPU’s and Multicore Architectures

A GPU-based hyperbolic SVD algorithm

General purpose Molecular Dynamics Simulations on GPUs: Issues of Pair Forces and Scaling to large Clusters

Direct N-body simulations of globular clusters: (I) Palomar 14

Parallel Sparse Matrix Solver on the GPU Applied to Simulation of Electrical Machines

Nodal Discontinuous Galerkin Methods on Graphics Processors

Massively parallel differential evolution-pattern search optimization with graphics hardware acceleration: an investigation on bound constrained optimization problems

DiVinE-CUDA – A Tool for GPU Accelerated LTL Model Checking

Recent source codes

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

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