high performance computing on graphics processing units: hgpu.org

hgpu.org » Physics

The Saga of Landau-Gauge Propagators: Gathering New Ammo

Attilio Cucchieri, Tereza Mendes

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

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

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

View

Download (PDF)

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

View

Download (PDF)

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

View

Download (PDF)

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

Using generalized ensemble simulations and Markov state models to identify conformational states

Gregory R. Bowman, Xuhui Huang, Vijay S. Pande

View

Download (PDF)

Source codes

Tags: CUDA, Molecular dynamics, Molecular modeling, nVidia, Package, Physics, Thermodynamics

January 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

* * *

high performance computing on graphics processing units: hgpu.org

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

Simulation of stochastic processes using graphics hardware

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

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

Using generalized ensemble simulations and Markov state models to identify conformational states

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

Most viewed papers (last 30 days)