high performance computing on graphics processing units: hgpu.org

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Fast Implementation of DGEMM on Fermi GPU

Guangming Tan, Linchuan Li, Sean Triechle, Everett Phillips, Yungang Bao, Ninghui Sun

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Tags: Algorithms, Benchmarking, Computer science, CUBLAS, CUDA, Matrix multiplication, nVidia, Optimization, Performance, Tesla C2050

October 17, 2011 by hgpu

Collaborative execution environment for heterogeneous parallel systems

Aleksandar Ilic, Leonel Sousa

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Tags: Computer science, CUBLAS, CUDA, Data parallelism, FFT, Heterogeneous systems, Matrix multiplication, nVidia, nVidia GeForce GTX 285, Presentation

August 28, 2011 by hgpu

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Allen Leung, Nicolas Vasilache, Benoit Meister, Muthu Baskaran, David Wohlford, Cedric Bastoul, Richard Lethin

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Tags: Algorithms, Code generation, Compilers, Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 285, Programming Languages

August 24, 2011 by hgpu

Accelerating Haskell array codes with multicore GPUs

Manuel M.T. Chakravarty, Gabriele Keller, Sean Lee, Trevor L. McDonell, Vinod Grover

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Tags: Code generation, Computer science, CUBLAS, CUDA, Data parallelism, nVidia, Performance, Programming Languages, Tesla T10

August 22, 2011 by hgpu

Using Graphics Processors to Accelerate the Solution of Out-of-Core Linear Systems

Mercedes Marques, Gregorio Quintana-Orti, Enrique S. Quintana-Orti, Robert van de Geijn

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Tags: Computer science, CUBLAS, CUDA, Factorization, Linear Algebra, nVidia, nVidia GeForce 9800 GX2

August 4, 2011 by hgpu

Linpack evaluation on a supercomputer with heterogeneous accelerators

Toshio Endo, Akira Nukada, Satoshi Matsuoka, Naoya Maruyama

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Tags: Benchmarking, Computer science, CUBLAS, CUDA, Heterogeneous systems, Linear Algebra, nVidia, Performance, Tesla S1070

July 17, 2011 by hgpu

Large-scale transient stability simulation on graphics processing units

Vahid Jalili-Marandi, Venkata Dinavahi

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Tags: Computer science, CUBLAS, CUDA, nVidia, nVidia GeForce GTX 280, Power Systems Simulation

July 14, 2011 by hgpu

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

Vincent Garcia, Eric Debreuve, Frank Nielsen, Michel Barlaud

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Tags: Computer vision, CUBLAS, CUDA, Image processing, Nearest neighbour, nVidia, nVidia Quadro FX 3700 M, Package, SIFT

May 5, 2011 by hgpu

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Bernd Bruegmann

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Tags: Computational Physics, CUBLAS, CUDA, FFT, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 285, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Physics, Tesla C2050, Tesla M2070

April 19, 2011 by hgpu

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

Jun-ichi Muramatsu, Shao-Liang Zhang, Yusaku Yamamoto

Tags: BLAS, Computer science, CUBLAS, CUDA, Linear Algebra, nVidia, Tesla C1060

March 28, 2011 by hgpu

Algebraic 3D Reconstruction of Planetary Nebulae

Stephan Wenger, Juan Aja Fernandez, Christophe Morisset, Marcus Magnor

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Tags: Astrophysics, CUBLAS, CUDA, Image reconstruction, nVidia, Physics

February 24, 2011 by hgpu

Parallel Cloth Simulation Using OpenMP and CUDA

Gillian David Sims

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Tags: Computer science, Conjugate gradient solver, CUBLAS, CUDA, nVidia, nVidia GeForce 9800 GTX, OpenMP, Rendering, Thesis

February 24, 2011 by hgpu

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

Experiences with implementing Kokkos’ SYCL backend

ROCm's implementation of Gromacs

GROMACS on AMD GPU-Based HPC Platforms: Using SYCL for Performance and Portability

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

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high performance computing on graphics processing units: hgpu.org

Fast Implementation of DGEMM on Fermi GPU

Collaborative execution environment for heterogeneous parallel systems

A mapping path for multi-GPGPU accelerated computers from a portable high level programming abstraction

Accelerating Haskell array codes with multicore GPUs

Using Graphics Processors to Accelerate the Solution of Out-of-Core Linear Systems

Linpack evaluation on a supercomputer with heterogeneous accelerators

Large-scale transient stability simulation on graphics processing units

K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching

A pseudospectral matrix method for time-dependent tensor fields on a spherical shell

Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems Using GPU

Algebraic 3D Reconstruction of Planetary Nebulae

Parallel Cloth Simulation Using OpenMP and CUDA

Recent source codes

Code examples for paper on SYCL backend of Kokkos - IWOCL 2024

ROCm's implementation of Gromacs

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

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