high performance computing on graphics processing units: hgpu.org

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Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Dounia Khaldi, Corinne Ancourt, Francois Irigoin

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Tags: Benchmarking, Code generation, Computer science, CUDA, FPGA, Heterogeneous systems, MPI, nVidia, OpenMP, Optimization, Package

December 19, 2011 by hgpu

Parallel mesh adaptation and graph analysis using graphics processing units

Timothy P. McGuiness

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Tags: Algorithms, CUDA, FEM, Finite element method, Fluid dynamics, Graph theory, MPI, nVidia, nVidia GeForce GTX 295, Tesla S1070

December 17, 2011 by hgpu

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun-Jin Im, Stephane Ethier, John Shalf, Leonid Oliker

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Tags: CUDA, Fortran, Hybrid computing, MPI, nVidia, OpenMP, Optimization, Particle-in-cell methods, Physics, Plasma physics, Tesla C2050

December 11, 2011 by hgpu

A programming language interface to describe transformations and code generation

Gabe Rudy, Malik Murtaza Khan, Mary Hall, Chun Chen, Jacqueline Chame

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Tags: Algorithms, Code generation, Computer science, CUBLAS, CUDA, MPI, nVidia, nVidia GeForce GTX 280, Tesla C2050

December 1, 2011 by hgpu

Scalable Data Clustering using GPU Clusters

Andrew Pangborn, Gregor von Laszewski, James Cavenaugh, Muhammad Shaaban, Roy Melton

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Tags: Algorithms, Cloud, Clustering, Computer science, CUDA, GPU cluster, MPI, nVidia, nVidia GeForce GTX 260, OpenMP, Tesla C1060

December 1, 2011 by hgpu

Iterative optimization methods for efficient image restoration on multicore architectures

Roberto Cavicchioli, Andrea Prearo, Riccardo Zanella, Gaetano Zanghirati, Luca Zanni

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Tags: Algorithms, CUDA, Image processing, MPI, Nonlinear optimization, nVidia, Tesla C2050

December 1, 2011 by hgpu

Architecture-Aware Algorithms and Software for Peta and Exascale Computing

Jack J. Dongarra

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Tags: Algorithms, Computer science, Mixed precision, MPI, Review

November 30, 2011 by hgpu

A hybrid parallel framework for computational solid mechanics

Piotr Fidkowski

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Tags: CUDA, Hybrid computing, MPI, nVidia, Physics, Tesla C1060, Thesis

November 28, 2011 by hgpu

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

James B White III (Trey), Jack Dongarra

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Tags: CUDA, Fluid dynamics, Fortran, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, OpenMPI, Presentation, Tesla C1060, Tesla C2050

November 27, 2011 by hgpu

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

Shenyi Song, Tingxing Dong, Yichen Zhou, David A. Yuen, Zhonghua Lu

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Tags: CUDA, Earth and Space Sciences, Finite difference, MPI, nVidia, OpenMPI, Seismic modeling, Tesla C1060

November 25, 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

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

Towards Automatic C Programs Optimization and Parallelization using the PIPS-PoCC Integration

Parallel mesh adaptation and graph analysis using graphics processing units

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

A programming language interface to describe transformations and code generation

Iterative optimization methods for efficient image restoration on multicore architectures

Architecture-Aware Algorithms and Software for Peta and Exascale Computing

A hybrid parallel framework for computational solid mechanics

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Seismic Wave Propagation Simulation Using Support Operator Method on multi-GPU system

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

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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