high performance computing on graphics processing units: hgpu.org

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MILC on GPUs

Gushing Shi, Steven Gottlieb, Volodymyr Kindratenko

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Tags: Conjugate gradient solver, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD

February 3, 2011 by hgpu

The Saga of Landau-Gauge Propagators: Gathering New Ammo

Attilio Cucchieri, Tereza Mendes

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Tags: GPU cluster, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, Tesla S1070

January 27, 2011 by hgpu

Realisation of a holographic microlaser scalpel using a digital micromirror device

Susanne Zwick, Michael Warber, Tobias Haist, Wolfgang Osten

Tags: Computer holography, FFT, nVidia, nVidia GeForce 8800 GTX, Optics, Physics

January 26, 2011 by hgpu

Correlating Radio Astronomy Signals with Many-Core Hardware

Rob van Nieuwpoort, John Romein

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Tags: Astrophysics, ATI, ATI CAL, ATI Radeon HD 4870, ATI Stream, Brook, Cell processor, CUDA, nVidia, OpenCL, Performance, Physics, Signal processing, Tesla C1060

January 26, 2011 by hgpu

Adaptable particle-in-cell algorithms for graphical processing units

Viktor K. Decyk, Tajendra V. Singh

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Tags: CUDA, nVidia, Particle-in-cell methods, Physics, Presentation, Tesla C1060

January 26, 2011 by hgpu

Molecular dynamics simulation of the supercooled Al melt on GPUs

Roman Bystryi, Andrey Kazennov, Igor Morozov, Vasily Pisarev, Vladimir Stegailov

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Tags: Molecular dynamics, nVidia, nVidia GeForce GTX 260, Physics

January 25, 2011 by hgpu

Molecular dynamics simulations of the relaxation processes in the condensed matter on GPUs

I. V. Morozov, A. M. Kazennov, R. G. Bystryi, G. E. Norman, V. V. Pisarev, V. V. Stegailov

Tags: Molecular dynamics, nVidia, nVidia GeForce GTX 260, Physics

January 25, 2011 by hgpu

Simulation of stochastic processes using graphics hardware

Alison Barros, Euler Garcia, Rafael Morgado Silva

Tags: Langevin dynamics, nVidia, Physics, Stochastic simulation

January 25, 2011 by hgpu

Implementing molecular dynamics on hybrid high performance computers – short range forces

W. Michael Brown, Peng Wang, Steven J. Plimpton, Arnold N. Tharrington

Tags: Chemistry, CUDA, GPU cluster, Molecular dynamics, nVidia, Physics

January 22, 2011 by hgpu

Blasting through lattice calculations using CUDA

Kipton Barros, Ronald Babich, Richard Brower, Michael A. Clark, Claudio Rebbi

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, Physics, QCD, Tesla C870

January 18, 2011 by hgpu

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Jens Breitbart, Gaurav Khanna

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Tags: Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, nVidia GeForce GTX 280, Package, Physics

January 18, 2011 by hgpu

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

Peter H. Colberg, Felix Hofling

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Source codes

Tags: Computational Physics, CUDA, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, Package, Physics, Soft Condensed Matter

January 18, 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

See all packages

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high performance computing on graphics processing units: hgpu.org

MILC on GPUs

The Saga of Landau-Gauge Propagators: Gathering New Ammo

Realisation of a holographic microlaser scalpel using a digital micromirror device

Correlating Radio Astronomy Signals with Many-Core Hardware

Adaptable particle-in-cell algorithms for graphical processing units

Molecular dynamics simulation of the supercooled Al melt on GPUs

Molecular dynamics simulations of the relaxation processes in the condensed matter on GPUs

Simulation of stochastic processes using graphics hardware

Implementing molecular dynamics on hybrid high performance computers – short range forces

Blasting through lattice calculations using CUDA

An exploration of CUDA and CBEA for a gravitational wave data-analysis application (Einstein@Home)

Highly accelerated simulations of glassy dynamics using GPUs: caveats on limited floating-point precision

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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