high performance computing on graphics processing units: hgpu.org

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CUDA and OpenCL-based asynchronous PSO

Youssef S. G. Nashed, Alessandro Bacchini, Stefano Cagnoni, Luca Mussi

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Tags: Computer science, CUDA, Genetic programming, nVidia, OpenCL

November 16, 2011 by hgpu

Grids, Clouds and Virtualization

Massimo Cafaro, Giovanni Aloisio (Eds.)

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Tags: Book, Cloud, Computer science, CUDA, Grid, nVidia, Review, Tesla M1060, Virtualization

November 16, 2011 by hgpu

Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi-and manycore processors

Markus Geveler, Dirk Ribbrock, Dominik Goddeke, Stefan Turek

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285

November 16, 2011 by hgpu

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

Mark Howison, E. Wes Bethel, Hank Childs

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Tags: Algorithms, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia Quadro FX 5800, Rendering, Visualization

November 16, 2011 by hgpu

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

Dana A. Jacobsen

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Tags: Algorithms, CUDA, Fluid dynamics, GPU cluster, Laplace and Poisson equation, MPI, Navier-Stokes equations, NSEs, nVidia, nVidia GeForce GTX 470, Poisson equation, Tesla S1070

November 16, 2011 by hgpu

Prospects for scalable 3D FFTs on heterogeneous exascale systems

Chris McClanahan, Kent Czechowski, Casey Battaglino, Kartik Iyer, P.-K. Yeung, Richard Vuduc

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Tags: Analytical model, Benchmarking, Computer science, CUDA, FFT, GPU cluster, Heterogeneous systems, nVidia, OpenMPI, Package, Tesla M2070

November 16, 2011 by hgpu

High Performance Data Mining Using R on Heterogeneous Platforms

Prabhat Kumar, Berkin Ozisikyilmaz, Wei-Keng Liao, Gokhan Memik, Alok Choudhary

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Tags: Computer science, CUDA, Data mining, Heterogeneous systems, MPI, nVidia, nVidia GeForce 8800 GT, Optimization

November 15, 2011 by hgpu

High-performance Blob-based iterative reconstruction of electron tomography on multi-GPUs

Xiaohua Wan, Fa Zhang, Qi Chu, Zhiyong Liu

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Tags: Biology, CUDA, Image reconstruction, nVidia, nVidia GeForce GTX 295, OpenMP, Tomography

November 15, 2011 by hgpu

An Ultrafast Scalable Many-core Motif Discovery Algorithm for Multiple GPUs

Yongchao Liu, Bertil Schmidt, Douglas L. Maskell

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Tags: Algorithms, Benchmarking, Biology, CUDA, GPU cluster, MPI, nVidia, OpenMP, Package, Tesla S2050

November 15, 2011 by hgpu

Design of MILC Lattice QCD Application for GPU Clusters

Guochun Shi, Steven Gottlieb, Aaron Torok, Volodymyr Kindratenko

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Tags: Conjugate gradient solver, CUDA, GPU cluster, High Energy Physics - Lattice, High Energy Physics - Phenomenology, nVidia, OpenMPI, Physics, QCD, Tesla C1060, Tesla C2050

November 15, 2011 by hgpu

GStream: A General-Purpose Data Streaming Framework on GPU Clusters

Yongpeng Zhang, Frank Mueller

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Tags: Algorithms, Benchmarking, Computer science, CUDA, Data parallelism, GPU cluster, nVidia, Tesla C2050

November 15, 2011 by hgpu

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

Marc de la Asuncion, Jose M. Mantas, Manuel J. Castro, E.D. Fernandez-Nieto

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Tags: Cluster computing, CUDA, Fluid dynamics, GPU cluster, MPI, nVidia, nVidia GeForce GTX 480, Triangular meshes

November 15, 2011 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

CUDA and OpenCL-based asynchronous PSO

Lattice-Boltzmann simulation of the shallow-water equations with fluid-structure interaction on multi-and manycore processors

Hybrid Parallelism for Volume Rendering on Large, Multi-and Many-core Systems

A Full-Depth Amalgamated Parallel 3D Geometric Multigrid Solver for GPU Clusters

Prospects for scalable 3D FFTs on heterogeneous exascale systems

High Performance Data Mining Using R on Heterogeneous Platforms

High-performance Blob-based iterative reconstruction of electron tomography on multi-GPUs

An Ultrafast Scalable Many-core Motif Discovery Algorithm for Multiple GPUs

Design of MILC Lattice QCD Application for GPU Clusters

GStream: A General-Purpose Data Streaming Framework on GPU Clusters

An MPI-CUDA implementation of an improved Roe method for two-layer shallow water systems

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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