high performance computing on graphics processing units: hgpu.org

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A Lattice Boltzmann Method Simulator for Microfluidics on GPU Cluster

Luiz Otavio S. Ferreira, Lucas Monteiro Volpe

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Tags: CUDA, Fluid dynamics, GPU cluster, Lattice Boltzmann model, nVidia, nVidia GeForce GTX 580, Visualization

January 19, 2014 by hgpu

FlowTour: An Automatic Guide for Exploring Internal Flow Features

Jun Ma, James Walker, Chaoli Wang, Scott A. Kuhl, Ching-Kuang Shene

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Visualization

January 19, 2014 by hgpu

High-performance and Embedded Systems for Cryptography

Samuel Freitas Antao

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Tags: Algorithms, Computer science, Elliptic curves, FPGA, Modular arithmetic, nVidia, nVidia GeForce 8800 GTX, nVidia GeForce GTX 285, nVidia GeForce GTX 580, OpenCL, Security

January 18, 2014 by hgpu

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Ivan Chernov

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580, Thesis, Visualization

January 18, 2014 by hgpu

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Emanuel Ey

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Source codes

Tags: Acoustics, Algorithms, Earth and Space Sciences, nVidia, nVidia GeForce GTX 580, OpenCL, Package, Raytracing, Thesis

January 14, 2014 by hgpu

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Greg Durrett, Taylor Berg-Kirkpatrick

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Tags: Algorithms, Computer science, CUDA, Image recognition, nVidia, nVidia GeForce GTX 580

January 9, 2014 by hgpu

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Guillermo Gallego, Daniel Berjon, Narciso Garcia

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Tags: CUDA, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 580, Optimization

January 2, 2014 by hgpu

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Laurence Dawson, Iain A. Stewart

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 580

December 29, 2013 by hgpu

Resource Centered Computing delivering high parallel performance

Jens Gustedt, Stephane Vialle, Patrick Mercier

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Tags: Computer science, CUBLAS, CUDA, GPU cluster, Hierarchical clustering, MPI, nVidia, nVidia GeForce GTX 580

December 22, 2013 by hgpu

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Benjamin Y. Cho, Won Seob Jeong, Doohwan Oh, Won Woo Ro

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Tags: Computer science, GPGPU-sim, MapReduce, nVidia, nVidia GeForce GTX 580, nVidia Tegra

December 20, 2013 by hgpu

Development methodologies for GPU and cluster of GPUs

Sylvain Contassot-Vivier, Stephane Vialle, Jens Gustedt

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580

December 17, 2013 by hgpu

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

Marc Kaseberg, Steffen Melnik, Erwin Keeve

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Tags: Algorithms, ATI, ATI Radeon HD 5770, ATI Radeon HD 6970, Computed tomography, CT, Heterogeneous systems, Image processing, nVidia, nVidia GeForce GTX 480, nVidia GeForce GTX 580, nVidia GeForce GTX 680, nVidia Quadro 600, OpenCL, Tomography

December 17, 2013 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

A Lattice Boltzmann Method Simulator for Microfluidics on GPU Cluster

FlowTour: An Automatic Guide for Exploring Internal Flow Features

High-performance and Embedded Systems for Cryptography

A GPU-based Multi-level Subspace Decomposition Scheme for Hierarchical Tensor Product Bases

Adaptation of an acoustic propagation model to the parallel architecture of a graphics processor

Efficient Emission Computation in Hidden Semi-Markov Models on Diverse Hardware

Optimal polygonal L1 linearization and fast interpolation of nonlinear systems

Candidate set parallelization strategies for Ant Colony Optimization on the GPU

Resource Centered Computing delivering high parallel performance

XSD: Accelerating MapReduce by Harnessing the GPU inside an SSD

Development methodologies for GPU and cluster of GPUs

OpenCL Accelerated Multi-GPU Cone-Beam Reconstruction

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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