high performance computing on graphics processing units: hgpu.org

A. P. V. Siemion, J. Cobb, T. Filiba, A. Fries, A. Howard, J. von Korff, E. Korpela, M. Lebofsky, W. Mallard, A. Parsons, M. Wagner, D. Werthimer, H. Chen, P. L. McMahon, J. Cordes, L. Spitler

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Tags: Astrophysics, Heterogeneous systems, Review

October 25, 2011 by hgpu

Radio astronomy beam forming on GPUs

Alessio Sclocco

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Tags: Algorithms, Astrophysics, CUDA, nVidia, nVidia GeForce GTX 480, OpenCL, Thesis

October 18, 2011 by hgpu

Fast N-body Simulations on GPUs

Rio Yokota, Lorena A. Barba

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Tags: Algorithms, Astrophysics, Computer science, CUDA, Fast multipole method, Heterogeneous systems, Mathematical Software, N-body simulation, Numerical Analysis, nVidia, Tesla C2050, Tesla M2050

October 18, 2011 by hgpu

Magneto-hydrodynamics simulation in astrophysics

Bijia Pang

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Tags: Algorithms, Astrophysics, CUDA, Fortran, Heterogeneous systems, Magnetohydrodynamics, nVidia, OpenCL, Physics, Tesla C1060, Tesla C2050, Thesis

October 17, 2011 by hgpu

Astrophysical particle simulations with large custom GPU clusters on three continents

K. R. Spurzem, P. Berczik, T. Hamada, K. Nitadori, G. Marcus, A. Kugel, R. Manner, I. Berentzen, J. Fiestas, R. Banerjee, R. Klessen,

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Tags: Astrophysics, GPU cluster, N-body simulation

October 8, 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

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high performance computing on graphics processing units: hgpu.org

Applications

A GPU-Enabled, High-Resolution Cosmological Microlensing Parameter Survey

Accelerating the Rate of Astronomical Discovery with GPU-Powered Clusters

High performance massively parallel direct N-body simulations on large GPU clusters

GPUinspiral – a low-latency, high-performance implementation of the matched-filter gravitational wave search algorithm

Computer Simulation of Dark Matter Effects on Galaxy Rotation

An Exploration of OpenCL on Multiple Hardware Platforms for a Numerical Relativity Application

Quasars spectra classification with the help of GPU computing

Current and Nascent SETI Instruments in the Radio and Optical

Radio astronomy beam forming on GPUs

Fast N-body Simulations on GPUs

Magneto-hydrodynamics simulation in astrophysics

Astrophysical particle simulations with large custom GPU clusters on three continents

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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