high performance computing on graphics processing units: hgpu.org

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Exploring GPGPU Acceleration of Process-Oriented Simulations

Frederick R.M. Barnes, Thomas Pressnell, Brendan Le Foll

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Package, Programming Languages

November 26, 2013 by hgpu

Contributions to parallel stochastic simulation: Application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte-Carlo simulations

Jonathan Passerat-Palmbach

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Tags: Algorithms, Computer science, CUDA, Java, Monte Carlo simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, OpenCL, Pseudo-random number generators, Software Engineering, Stochastic simulation, Tesla C2050, Tesla C2075, Tesla K20, Thesis

October 13, 2013 by hgpu

GPU-accelerated triangle-triangle intersection tester algorithm

Romain Maffina

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Tessellation, Thesis

October 3, 2013 by hgpu

Parallel Hyperspectral Unmixing on GPUs

Jose M. P. Nascimento, Jose M. Bioucas-Dias, Jose M. Rodriguez Alves, Vitor Silva, Antonio Plaza

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Tags: Algorithms, Image processing, nVidia, nVidia GeForce GTX 590, nVidia GeForce GTX 680, OpenCL, Tesla C2050

October 2, 2013 by hgpu

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Davide Montanari, Enrica Scolari, Chiara Silvestri, Yan J. Graves, Hao Yan, Laura Cervino, Roger Rice, Steve B. Jiang, Xun Jia

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Tags: Computed tomography, CT, CUDA, Medical Physics, Medicine, Monte Carlo simulation, nVidia, nVidia GeForce GTX 590, Physics

September 20, 2013 by hgpu

Hybrid Monte Carlo CT Simulation on GPU

Gabor Jakab, Laszlo Szirmay-Kalos

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Tags: Algorithms, Computed tomography, CT, CUDA, Image reconstruction, Medicine, nVidia, nVidia GeForce GTX 590, Particle simulation, Tomography

September 16, 2013 by hgpu

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

John T. O'Donnell, Cordelia V. Hall

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Optimization

August 26, 2013 by hgpu

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

Akiyoshi Wakatani

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590

August 26, 2013 by hgpu

Levy Flights for Particle Swarm Optimisation Algorithms on Graphical Processing Units

A. V. Husselmann, K. A. Hawick

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 590, Particle swarm optimization

August 8, 2013 by hgpu

Attack Signature Matching using Graphics Processors in High-Performance Intrusion Detection Systems

Payam Mahdinia, Mehdi Berenjkoob, Hedayat Vatankhah

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Tags: Computer science, CUDA, Network communications, nVidia, nVidia GeForce GTX 590, Security

August 5, 2013 by hgpu

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

K.A. Hawick, D.P. Playne

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Tags: Algorithms, CUDA, Hybrid computing, Numerical simulation, nVidia, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Phase transition, Physics, Tesla M2075, Tesla M2090

June 19, 2013 by hgpu

Performance Tradeoff Spectrum of Integer and Floating Point Applications

M.G.B. Johnson, D. P. Playne, K.A. Hawick

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Tags: Benchmarking, Computer science, CUDA, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 590, nVidia GeForce GTX 680, Performance, Tesla C2050, Tesla C2070

May 30, 2013 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

Exploring GPGPU Acceleration of Process-Oriented Simulations

Contributions to parallel stochastic simulation: Application of good software engineering practices to the distribution of pseudorandom streams in hybrid Monte-Carlo simulations

GPU-accelerated triangle-triangle intersection tester algorithm

Parallel Hyperspectral Unmixing on GPUs

Comprehensive Evaluations of Cone-beam CT dose in Image-guided Radiation Therapy via GPU-based Monte Carlo simulations

Hybrid Monte Carlo CT Simulation on GPU

Optimisation and Parallelism in Synchronous Digital Circuit Simulators

Evaluation of P-Scheme/G Algorithm for Solving Recurrence Equations

Levy Flights for Particle Swarm Optimisation Algorithms on Graphical Processing Units

Attack Signature Matching using Graphics Processors in High-Performance Intrusion Detection Systems

Parallel Algorithms for Hybrid Multi-core CPU-GPU Implementations of Component Labelling in Critical Phase Models

Performance Tradeoff Spectrum of Integer and Floating Point Applications

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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