high performance computing on graphics processing units: hgpu.org

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Algorithm for Sparse Approximate Inverse Preconditioners in the Conjugate Gradient Method

Ilya B. Labutin, Irina V. Surodina

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Tags: Algorithms, Computer science, CUDA, nVidia, Sparse matrix, Tesla M2090

December 9, 2013 by hgpu

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Freddie D Witherden, Antony M Farrington, Peter E Vincent

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Tags: Computational Physics, CUDA, Finite difference, Fluid dynamics, Navier-Stokes equations, NSEs, Numerical Analysis, nVidia, Python, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Fast quantum Monte Carlo on a GPU

Y. Lutsyshyn

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Tags: Computational Physics, Condensed matter, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 560, Physics, Tesla K20, Tesla M2090

December 6, 2013 by hgpu

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Mudassar Majeed, Usman Dastgeer, Christoph Kessler

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Tags: Algorithms, Computer science, CUDA, GPU cluster, N-body simulation, nVidia, Tesla M2090

December 4, 2013 by hgpu

Regression Modelling of Power Consumption for Heterogeneous Processors

Tahir Diop

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Tags: Benchmarking, Computer science, Energy-efficient computing, Heterogeneous systems, nVidia, OpenCL, Tesla M2090, Thesis

November 27, 2013 by hgpu

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

William R. French, Amulya K. Pervaje, Andrew P. Santos, Christopher R. Iacovella, Peter T. Cummings

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Tags: Condensed matter, CUDA, Mesoscale and Nanoscale Physics, Molecular dynamics, nVidia, nVidia GeForce GTX 680, OpenMPI, Physics, Tesla M2090

November 18, 2013 by hgpu

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Thomas M. Benson, Ryan K. Hersey, Edwin Culpepper

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Tags: Algorithms, Computer science, CUDA, Filtering, nVidia, nVidia Quadro 3000 M, Tesla K20, Tesla M2090

November 8, 2013 by hgpu

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Ichitaro Yamazaki, Tingxing Dong, Raffaele Solca, Stanimire Tomov, Jack Dongarra, Thomas Schulthess

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Tags: Algorithms, Computer science, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Tesla C2050, Tesla M2090

November 2, 2013 by hgpu

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

Anshu Raina

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Tags: Algorithms, Computer science, Heterogeneous systems, nVidia, OpenCL, Sorting, Tesla M2090, Thesis

October 30, 2013 by hgpu

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Arash Bakhtiari

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Tags: Fluid dynamics, GPU cluster, Heterogeneous systems, Lattice Boltzmann model, MPI, nVidia, OpenCL, Tesla M2090, Thesis

October 27, 2013 by hgpu

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

M. de la Asuncion, J. M. Mantas, M. J. Castro, S. Ortega

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Tags: CUDA, Earth and Space Sciences, Fluid dynamics, GPU cluster, MPI, nVidia, Tesla M2090

October 26, 2013 by hgpu

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

Samuel Schlachter, Stephen Herbein, Michela Taufer, Shuching Ou, Sandeep Patel, Jeremy S. Logan

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Tags: Chemistry, CUDA, GPU cluster, nVidia, Tesla M2090, Virtualization

October 25, 2013 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

Algorithm for Sparse Approximate Inverse Preconditioners in the Conjugate Gradient Method

PyFR: An Open Source Framework for Solving Advection-Diffusion Type Problems on Streaming Architectures using the Flux Reconstruction Approach

Fast quantum Monte Carlo on a GPU

Cluster-SkePU: A Multi-Backend Skeleton Programming Library for GPU Clusters

Regression Modelling of Power Consumption for Heterogeneous Processors

Probing the Statistical Validity of the Ductile-to-Brittle Transition in Metallic Nanowires Using GPU Computing

GPU-Based Space-Time Adaptive Processing (STAP) for Radar

Tridiagonalization of a dense symmetric matrix on multiple GPUs and its application to symmetric eigenvalue problems

Analysis of Parallel Sorting Algorithms on Heterogeneous Processors with OpenCL

MPI Parallelization of GPU-based Lattice Boltzmann Simulations

Scalable Simulation of Tsunamis Generated by Submarine Landslides on GPU clusters

Efficient SDS Simulations on Multi-GPU Nodes of XSEDE High-end Clusters

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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