high performance computing on graphics processing units: hgpu.org

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Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Mikolaj Mackowiak, Krzysztof Kurowski, Aleksandr Igumenov

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Tags: Algorithms, Computer science, CUDA, Distributed computing, Hybrid computing, MPI, nVidia, Optimization, Package

December 27, 2011 by hgpu

Extending adaptive sparse grids for stochastic collocation to hybrid parallel architectures

Richard K. Archibald, Ralf Deiterding, John Jakeman

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Tags: Computer science, CUDA, Hybrid computing, nVidia, Stochastic simulation, Tesla C2050

December 22, 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

Soft Error Resilient QR Factorization for Hybrid System with GPGPU

Peng Du, Piotr Luszczek, Stan Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Hybrid computing, nVidia, Tesla C2050, Tesla M2070

December 5, 2011 by hgpu

Programming hybrid systems with implicit memory based synchronization

Jens Breitbart

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Tags: Algorithms, Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 480, Package, Tesla C2050

December 3, 2011 by hgpu

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

Wenbin Li, Sven Simon, Steffen Kiess

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Tags: Algorithms, Computer science, CUDA, Floating point error, Hybrid computing, nVidia, nVidia GeForce GTX 480

November 28, 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

Soft Error Resilient QR Factorization for Hybrid System

Peng Du, Piotr Luszczek, Stanimire Tomov, Jack Dongarra

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Tags: Algorithms, Computer science, CUDA, Factorization, Fault tolerance, Hybrid computing, Linear Algebra, nVidia, Tesla C2050, Tesla M2070

November 20, 2011 by hgpu

SGPU 2: a runtime system for using large applications on clusters of hybrid nodes

Matthieu Ospici, Dimitri Komatitsch, Jean-Francois Mehaut, Thierry Deutsch

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Tags: Benchmarking, Computer science, CUDA, Hybrid computing, nVidia, Tesla T10

November 19, 2011 by hgpu

Multi GPU Implementation of the Simplex Algorithm

Mohamed Esseghir Lalami, Didier El-Baz, Vincent Boyer

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Tags: Algorithms, Computer science, CUDA, GPU cluster, Hybrid computing, nVidia, nVidia GeForce GTX 260, Tesla C2050

November 14, 2011 by hgpu

Efficient Implementation of the Simplex Method on a CPU-GPU System

M.E. Lalami, V. Boyer, D. El-Baz

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Tags: Algorithms, Computer science, CUDA, Hybrid computing, nVidia, nVidia GeForce GTX 260

November 14, 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

Hybrid CPU and GPGPU Volunteer Computing Framework over the Extensible Messaging and Presence Protocol for Prallel Branch and Bound Optimization of Truss Structures

Extending adaptive sparse grids for stochastic collocation to hybrid parallel architectures

Gyrokinetic Toroidal Simulations on Leading Multi-and Manycore HPC Systems

Soft Error Resilient QR Factorization for Hybrid System with GPGPU

Programming hybrid systems with implicit memory based synchronization

On the numerical sensitivity of computer simulations on hybrid and parallel computing systems

A hybrid parallel framework for computational solid mechanics

Overlapping Computation and Communication for Advection on Hybrid Parallel Computers

Soft Error Resilient QR Factorization for Hybrid System

SGPU 2: a runtime system for using large applications on clusters of hybrid nodes

Multi GPU Implementation of the Simplex Algorithm

Efficient Implementation of the Simplex Method on a CPU-GPU System

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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