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Accelerating glassy dynamics using graphics processing units

Peter H. Colberg, Felix Hofling

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

November 8, 2010 by hgpu

PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

Heiko Burau, Renee Widera, Wolfgang Honig, Guido Juckeland, Ale Debus, Thomas Kluge, Ulrich Schramm, Tomas E. Cowan, Roland Sauerbrey, Michael Bussmann

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Tags: CUDA, GPU cluster, nVidia, OpenCL, Particle-in-cell methods, Physics, Plasma physics, Tesla S1070

November 7, 2010 by hgpu

GPU-accelerated molecular dynamics simulation for study of liquid crystalline flows

Alfeus Sunarso, Tomohiro Tsuji, Shigeomi Chono

Tags: Computational Physics, Liquid crystals, Molecular dynamics, Physics

November 7, 2010 by hgpu

Accelerating Dust Temperature Calculations with Graphics Processing Units

Patrik Jonsson, Joel Primack

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, Package, Physics, Tesla C1060

November 6, 2010 by hgpu

Magnetohydrodynamics simulations on graphics processing units

Hon-Cheng Wong, Un-Hong Wong, Xueshang Feng, Zesheng Tang

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Tags: Computational Physics, CUDA, Electrodynamics, Magnetohydrodynamics, nVidia, nVidia GeForce GTX 295, Physics

November 6, 2010 by hgpu

SAPPORO: A way to turn your graphics cards into a GRAPE-6

Evghenii Gaburov, Stefan Harfst, Simon P. Zwart

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Tags: Astrophysics, CUDA, Instrumentation and Methods for Astrophysics, nVidia, nVidia GeForce 9800 GX2, Package, Physics

November 6, 2010 by hgpu

GPU’s for event reconstruction in the FairRoot framework

M. {Al-Turany}, F. {Uhlig}, R. {Karabowicz}

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Tags: CUDA, Instrumentation and measurement, Nuclear physics, nVidia, Package, Particle physics and field theory, Physics, Tesla C1060

November 5, 2010 by hgpu

Lattice SU(2) on GPU’s

Nuno Cardoso, Pedro Bicudo

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Tags: Computational Physics, CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, nVidia GeForce GTX 295, Package, Physics

November 5, 2010 by hgpu

Treecode and fast multipole method for N-body simulation with CUDA

Rio Yokota, Lorena Barba

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Tags: Computational Physics, CUDA, N-body simulation, nVidia, nVidia GeForce GTX 295, Package, Physics

November 4, 2010 by hgpu

GPU processing of particle system animation

D. Gladkiy, I. Belago, N. Elykov, S. Kuzikowski

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Tags: Optoelectronics, Physics, Signal processing

November 4, 2010 by hgpu

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

M. Woolsey, W. E. Hutchcraft, R. K. Gordon

Tags: Electrodynamics, Electromagnetics simulation, Finite element method, Physics

November 4, 2010 by hgpu

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

Rakesh Ginjupalli, Gaurav Khanna

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Tags: Astrophysics, Computational Physics, CUDA, General Relativity and Quantum Cosmology, nVidia, Physics, Tesla C1060

November 3, 2010 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

Accelerating glassy dynamics using graphics processing units

PIConGPU: A Fully Relativistic Particle-in-Cell Code for a GPU Cluster

GPU-accelerated molecular dynamics simulation for study of liquid crystalline flows

Accelerating Dust Temperature Calculations with Graphics Processing Units

Magnetohydrodynamics simulations on graphics processing units

SAPPORO: A way to turn your graphics cards into a GRAPE-6

GPU’s for event reconstruction in the FairRoot framework

Lattice SU(2) on GPU’s

Treecode and fast multipole method for N-body simulation with CUDA

GPU processing of particle system animation

High-Level programming of graphics hardware to increase performance of electromagnetics simulation

High-Precision Numerical Simulations of Rotating Black Holes Accelerated by CUDA

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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