high performance computing on graphics processing units: hgpu.org

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Performance of a GPU-based Direct Summation Algorithm for Computation of Small Angle Scattering Profile

Konstantin Berlin, Nail A. Gumerov, Ramani Duraiswami, David Fushman

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Tags: Algorithms, Biology, Biomolecules, Fast multipole method, Macromolecule, nVidia, nVidia GeForce GT 330 M, nVidia GeForce GTX 295, OpenCL, RNA

June 12, 2013 by hgpu

A CUDA-Based Cooperative Evolutionary Multi-Swarm Optimization Applied to Engineering Problems

Daniel Leal Souza, Otavio Noura Teixeira, Dionne Monteiro, Roberto Celio Limao de Oliveira

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Tags: Computer science, CUDA, nVidia, nVidia GeForce GT 330 M, Particle swarm optimization

March 20, 2013 by hgpu

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Jacek Kustra, Andrei Jalba, Alexandru Telea

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Tags: Algorithms, Computer vision, CUDA, Image processing, nVidia, nVidia GeForce GT 330 M, OpenGL, Package, Stereo vision

January 11, 2013 by hgpu

Skeleton-based edge bundling for graph visualization

Ozan Ersoy, Christophe Hurter, Fernando V. Paulovich, Gabriel Cantareira, Alexandru Telea

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Tags: Clustering, Computer science, Graph theory, nVidia, nVidia GeForce GT 330 M, OpenGL, Visualization

December 25, 2012 by hgpu

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

Piotr Pawliczek, Witold Dzwinel, David A. Yuen

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Tags: Algorithms, Computer science, CUDA, Data mining, MPI, Multidimensional scaling, nVidia, nVidia GeForce 8500 GT, nVidia GeForce 8800 Ultra, nVidia GeForce 9500 GT, nVidia GeForce 9800 GT, nVidia GeForce GT 330 M, nVidia GeForce GTX 260, nVidia GeForce GTX 460, nVidia GeForce GTX 480, Tesla M2050, Visualization

October 6, 2012 by hgpu

A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Parallel Architecture Applied to Solve Engineering Optimization Problems

Daniel Leal Souza, Otavio Noura Teixeira, Dionne Cavalcante Monteiro, Roberto Celio Limao de Oliveira

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GT 330 M, Optimization, Particle swarm optimization

August 15, 2012 by hgpu

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

Robert Hochberg

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Tags: Computer science, CUDA, Matrix multiplication, nVidia, nVidia GeForce 9600 M GT, nVidia GeForce GT 330 M, Tesla C1060

April 27, 2012 by hgpu

WebCL for Hardware-Accelerated Web Applications

Won Jeon, Tasneem Brutch, Simon Gibbs

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Tags: Algorithms, Computer science, Java, nVidia, nVidia GeForce GT 330 M, OpenCL, Package

April 25, 2012 by hgpu

A Fast and Efficient Simulation Framework for Modeling Heat Transport

Joshua Gordon Clark

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Tags: CUDA, nVidia, nVidia GeForce GT 330 M, Optimization, Physics, Raytracing, Thesis, Visualization

February 29, 2012 by hgpu

High-throughput protein crystallization on the World Community Grid and the GPU

Yulia Kotseruba, Christian A Cumbaa, Igor Jurisica

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Tags: ATI, ATI Radeon HD 5770, Biochemistry, Image processing, nVidia, nVidia GeForce GT 330 M, nVidia Quadro FX 3800, OpenCL, Tesla C2050

February 11, 2012 by hgpu

Computational Fluid Dynamics using OpenCL – a Practical Introduction

T. Bednarz, Luke Domanski, J. A. Taylor

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Tags: Algorithms, Finite difference, Fluid dynamics, Navier-Stokes equations, nVidia, nVidia GeForce GT 330 M, OpenCL, Review

January 25, 2012 by hgpu

Markov Chain Monte Carlo on the GPU

Michael D. Dumont

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Tags: Algorithms, Computer science, Monte Carlo simulation, nVidia, nVidia GeForce GT 330 M, OpenCL, Thesis

January 21, 2012 by hgpu

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

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

Optical flow algorithms for SYCL

SYCL in the edge: performance and energy evaluation for heterogeneous acceleration

OpenMP5-Offload-OpenMC-Intel-PVC

Distributed OpenMP Offloading of OpenMC on Intel GPU MAX Accelerators

See all packages

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high performance computing on graphics processing units: hgpu.org

Performance of a GPU-based Direct Summation Algorithm for Computation of Small Angle Scattering Profile

A CUDA-Based Cooperative Evolutionary Multi-Swarm Optimization Applied to Engineering Problems

Probabilistic View-based 3D Curve Skeleton Computation on the GPU

Skeleton-based edge bundling for graph visualization

Visualization of large multidimensional data sets by using multi-core CPU, GPU and MPI cluster

A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Parallel Architecture Applied to Solve Engineering Optimization Problems

Matrix Multiplication with CUDA – A basic introduction to the CUDA programming model

WebCL for Hardware-Accelerated Web Applications

A Fast and Efficient Simulation Framework for Modeling Heat Transport

High-throughput protein crystallization on the World Community Grid and the GPU

Computational Fluid Dynamics using OpenCL – a Practical Introduction

Markov Chain Monte Carlo on the GPU

Recent source codes

QArray

Celerity: High-level C++ for Accelerator Clusters

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

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

Optical flow algorithms for SYCL

OpenMP5-Offload-OpenMC-Intel-PVC

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