high performance computing on graphics processing units: hgpu.org

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Dynamic load balancing on heterogeneous multicore/multiGPU systems

Alejandro Acosta, Robert Corujo, Vicente Blanco, Francisco Almeida

Tags: Computer science, GPU cluster, Heterogeneous systems, Performance, Task scheduling

June 8, 2011 by hgpu

Performance Analysis of the OP2 Framework on Many-core Architectures

M.B. Giles, G.R. Mudalige, Z. Sharif, G. Markall and P.H.J Kelly

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Tags: CUDA, Fluid dynamics, GPU cluster, nVidia, nVidia GeForce GTX 260, OpenMP, Package, Performance, Tesla C2050

June 5, 2011 by hgpu

A framework for parallel unstructured grid applications on GPUs

Mike Giles

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Tags: Code generation, Computer science, CUDA, GPU cluster, MPI, nVidia, OpenCL, OpenMP, Package, PDEs, Presentation

June 5, 2011 by hgpu

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

Emmanuel Agullo, Cedric Augonnet, Jack Dongarra, Mathieu Faverge, Hatem Ltaief, Samuel Thibault, Stanimire Tomov

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Tags: Computer science, CUDA, Factorization, GPU cluster, Linear Algebra, nVidia, nVidia Quadro FX 5800, Tesla S1070

June 5, 2011 by hgpu

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Jifu Zhou, Chengwen Zhong, Jianfei Xie, Shiqun Yin

Tags: Fluid dynamics, GPU cluster, Lattice Boltzmann model, MPI, OpenGL, Rendering

June 3, 2011 by hgpu

Modeling Rotor Wakes with a Hybrid OVERFLOW-Vortex Method on a GPU Cluster

Mark J. Stock, Adrin Gharakhani, Christopher P. Stone

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 275, Tesla S1070

June 3, 2011 by hgpu

A GPU-accelerated Boundary Element Method and Vortex Particle Method

Mark J. Stock, Adrin Gharakhani

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Tags: Fluid dynamics, Fluid simulation, GPU cluster, nVidia, nVidia GeForce GTX 275, Tesla S1070

June 3, 2011 by hgpu

Spherical harmonic transform on heterogeneous architectures using hybrid programming

Mikolaj Szydlarski, Pierre Esterie, Joel Falcou, Laura Grigori, Radek Stompor

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Tags: Computer science, CUDA, GPU cluster, Hybrid computing, MPI, nVidia, OpenMP, Tesla S1070

June 2, 2011 by hgpu

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Fukang Yin, Fengshun Lu, Xiaoqun Cao, Junqiang Song

Tags: Computational modelling, Computer science, CUDA, Earth and Space Sciences, GPU cluster, nVidia, nVidia GeForce GTX 480, Weather prediction

June 1, 2011 by hgpu

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

Laszlo Szirmay-Kalos, Gabor Liktor, Tamas Umenhoffer, Balazs Toth, Shree Kumar, Glenn Lupton

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Tags: CUDA, GPU cluster, Image processing, Image reconstruction, Monte Carlo simulation, nVidia, nVidia GeForce 8800 GTX

May 31, 2011 by hgpu

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Christoph Muller, Steffen Frey, Magnus Strengert, Carsten Dachsbacher, Thomas Ertl

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Tags: Computer science, CUDA, GPU cluster, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 8800 GTX, nVidia GeForce GTX 280, nVidia Quadro FX 5600, Performance

May 30, 2011 by hgpu

Astrophysical Particle Simulations with Custom GPU Clusters

R. Spurzem, P. Berczik, K. Nitadori, G. Marcus, A. Kugel, R. Manner, I. Berentzen, R. Klessen, R. Banerjee

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Tags: Astrophysics, CUDA, GPU cluster, MPI, N-body simulation, nVidia, Tesla C1070, Tesla C870

May 19, 2011 by hgpu

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

Profile Util library: A quick and easy way to get MPI, OpenMP and GPU runtime information

MaC: Mamba CPU performance predictor

MambaCPU: Enhanced Correlation Mining with State Space Models for CPU Performance Prediction

Mixed-precision finite element kernels

Mixed-precision finite element kernels and assembly: Rounding error analysis and hardware acceleration

SHMT: The Simultaneous and Heterogenous Multithreading project

General-Purpose Computing on Tensor Processors

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

Online Energy Optimization in GPUs: A Multi-Armed Bandit Approach

See all packages

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high performance computing on graphics processing units: hgpu.org

Dynamic load balancing on heterogeneous multicore/multiGPU systems

Performance Analysis of the OP2 Framework on Many-core Architectures

A framework for parallel unstructured grid applications on GPUs

QR Factorization on a Multicore Node Enhanced with Multiple GPU Accelerators

Multiple-GPUs Algorithm for Lattice Boltzmann Method

Modeling Rotor Wakes with a Hybrid OVERFLOW-Vortex Method on a GPU Cluster

A GPU-accelerated Boundary Element Method and Vortex Particle Method

Spherical harmonic transform on heterogeneous architectures using hybrid programming

GPS forward model computing study on CPU/GPU co-processing parallel system using CUDA

Parallel Iteration to the Radiative Transport in Inhomogeneous Media with Bootstrapping

A Compute Unified System Architecture for Graphics Clusters Incorporating Data Locality

Astrophysical Particle Simulations with Custom GPU Clusters

Recent source codes

Kokkidio: Kokkos+Eigen - write fast, readable multi-platform code

LLaMA-Inference-Bench

MATAR

Over-synchronization in GPU Programs

profile_util: simple C++ library to report memory, timing, thread affinity

MaC: Mamba CPU performance predictor

Mixed-precision finite element kernels

SHMT: The Simultaneous and Heterogenous Multithreading project

Superpipeline: A Universal Approach for Reducing GPU Memory Usage in Large Models

EnergyUCB-Bandit

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