high performance computing on graphics processing units: hgpu.org

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An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

James Laurence Brock

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Tags: ATI, ATI Radeon HD 5870, Computer science, CUDA, Heterogeneous systems, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 9800 GX2, nVidia GeForce GTX 560 Ti, OpenCL, Tesla C1060, Tesla S1070, Thesis

October 26, 2012 by hgpu

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Yukihiro Komura, Yutaka Okabe

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Tags: Algorithms, Condensed matter, CUDA, GPU cluster, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics

October 24, 2012 by hgpu

Particle Filters on Multi-Core Processors

Mehdi Chitchian, Alexander S. van Amesfoort, Andrea Simonetto, Tamas Keviczky, Henk J. Sips

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Tags: ATI, ATI Radeon HD 6970, Bayesian, Computer science, Computer vision, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, OpenCL, Particle filtering

October 16, 2012 by hgpu

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

Ezequiel E. Ferrero, Federico Roma, Sebastian Bustingorry, Pablo M. Gleiser

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Source codes

Tags: Condensed matter, CUDA, Monte Carlo simulation, Numerical simulation, nVidia, nVidia GeForce GTX 480, Package, Physics, Statistical Mechanics

September 12, 2012 by hgpu

GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems

Bharath Pattabiraman, Stefan Umbreit, Wei-keng Liao, Frederic Rasio, Vassiliki Kalogera, Alok Choudhary

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Tags: Astrophysics, CUDA, Monte Carlo simulation, nVidia, nVidia GeForce GTX 280

September 10, 2012 by hgpu

Scalable Solution of Radiative Heat Transfer Problems by the Photon Monte Carlo Algorithm on Hybrid Computing Architectures

Joo Hong Lee, Mark T. Jones, Paul E. Plassmann

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Tags: Hybrid computing, Monte Carlo simulation, nVidia, OpenCL, Physics, Raytracing, Tesla S2050

September 1, 2012 by hgpu

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

Yukihiro Komura, Yutaka Okabe

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Tags: Computational Physics, CUDA, Ising model, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, Physics, Statistical Mechanics, Tesla M2050

August 13, 2012 by hgpu

MCMini: Monte Carlo on GPGPU

Ryan Marcus

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Tags: ATI, ATI Radeon HD 5870, Monte Carlo simulation, nVidia, OpenCL, Physics, Tesla C2070

July 31, 2012 by hgpu

Projectile Monte-Carlo Trajectory Analysis Using a Graphics Processing Unit

Mark Ilg, Jonathan Rogers, Mark Costello

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Tags: CUDA, Earth and Space Sciences, Monte Carlo simulation, nVidia, Tesla C1060

July 20, 2012 by hgpu

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Abhijit Chakrabarty, Pushan Majumdar

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Tags: CUDA, High Energy Physics - Lattice, Monte Carlo simulation, nVidia, Physics, Tesla C2050, Tesla X2090

July 11, 2012 by hgpu

Fault Tree Analysis Speed-up with GPU Parallel Computing

Hadi Aghassi, Farrokh Aghassi

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Tags: Algorithms, Computer science, CUDA, Fault tolerance, Monte Carlo simulation, nVidia, nVidia GeForce 8600 GS

July 1, 2012 by hgpu

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

Abhinav Sarje, Jack Pien, Xiaoye S. Li, Elaine Chan, Slim Chourou, Alexander Hexemer, Arthur Scholz and Edward Kramer

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Tags: Algorithms, CUDA, GPU cluster, Monte Carlo simulation, MPI, nVidia, Optimization, Physics, Tesla C2050, Tesla M2090

May 30, 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

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high performance computing on graphics processing units: hgpu.org

An Environment to Support GPU and Multicore Programming for Rapid, High Performance, Application Deployment

Large-scale Monte Carlo simulation of two-dimensional classical XY model using multiple GPUs

Particle Filters on Multi-Core Processors

Dynamical heterogeneities as fingerprints of a backbone structure in Potts models

GPU-Accelerated Monte Carlo Simulations of Dense Stellar Systems

Scalable Solution of Radiative Heat Transfer Problems by the Photon Monte Carlo Algorithm on Hybrid Computing Architectures

Multi-GPU-based Swendsen-Wang multi-cluster algorithm for the simulation of two-dimensional q-state Potts model

MCMini: Monte Carlo on GPGPU

Projectile Monte-Carlo Trajectory Analysis Using a Graphics Processing Unit

Hybrid Monte Carlo with Wilson Dirac operator on the Fermi GPU

Fault Tree Analysis Speed-up with GPU Parallel Computing

Large-scale Nanostructure Simulations from X-ray Scattering Data On Graphics Processor Clusters

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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