high performance computing on graphics processing units: hgpu.org

Julien Bert, Hector Perez-Ponce, Sebastien Jan, Ziad El Bitar, Pierre Gueth, Vesna Cuplov, Hocine Chekatt, Didier Benoit, David Sarrut, Yannick Boursier, David Brasse, Irene Buvat, Christian Morel, Dimitris Visvikis

View

Download (PDF)

Tags: CUDA, Image processing, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580

January 4, 2013 by hgpu

Coulomb, Landau and Maximally Abelian Gauge Fixing in Lattice QCD with Multi-GPUs

Mario Schrock, Hannes Vogt

View

Download (PDF)

Tags: CUDA, GPU cluster, High Energy Physics - Lattice, Mixed precision, Monte Carlo simulation, MPI, nVidia, Physics, QCD, Tesla C2070

December 23, 2012 by hgpu

IceCubes GPGPU’s cluster for extensive MC production

Martin Merck, Dmitry Chirkin, Juan Carlos Diaz Velez, Heath Skarlupka

View

Download (PDF)

Tags: Computational Physics, CUDA, GPU cluster, Monte Carlo simulation, Nuclear physics, nVidia, Particle physics and field theory, Physics, Raytracing, Tesla M2070

December 20, 2012 by hgpu

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

J. Prikryl, J. Kocijan

View

Download (PDF)

Tags: Computer science, CUDA, Monte Carlo simulation, Numerical Analysis, nVidia, nVidia GeForce GTX 275, Vehicular traffic

November 26, 2012 by hgpu

Massively parallel Monte Carlo for many-particle simulations on GPUs

Joshua A. Anderson, Eric Jankowski, Thomas L. Grubb, Michael Engel, Sharon C. Glotzer

View

Download (PDF)

Tags: Algorithms, Computational Physics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 680, Particle simulation, Physics

November 8, 2012 by hgpu

High-precision Monte Carlo study of the three-dimensional XY model on GPU

Ti-Yen Lan, Yun-Da Hsieh, Ying-Jer Kao

View

Download (PDF)

Tags: Condensed matter, CUDA, Monte Carlo simulation, nVidia, Physics, Statistical Mechanics, Tesla M2090

November 6, 2012 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

Ultra-Fast Hybrid CPU-GPU Multiple Scatter Simulation for 3D PET

GPU Acceleration of the Variational Monte Carlo Method for Many Body Physics

Adapting Particle Filter Algorithms to Many-Core Architectures

Binary Interval Search: a scalable algorithm for counting interval intersections

Reaction-diffusion model Monte Carlo simulations on the GPU

Massively parallelizable list-mode reconstruction using a Monte Carlo-based elliptical Gaussian model

Hybrid GATE: A GPU/CPU implementation for imaging and therapy applications

Coulomb, Landau and Maximally Abelian Gauge Fixing in Lattice QCD with Multi-GPUs

IceCubes GPGPU’s cluster for extensive MC production

Stochastic Analysis of a Queue Length Model Using a Graphics Processing Unit

Massively parallel Monte Carlo for many-particle simulations on GPUs

High-precision Monte Carlo study of the three-dimensional XY model on GPU

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)