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Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Aude Giraud

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, Numerical Analysis, nVidia, Tesla T10, Thesis

December 18, 2012 by hgpu

Development of a CUDA Implementation of the 3D FDTD Method

Matthew Livesey, James Francis Stack, Jr., Fumie Costen, Takeshi Nanri, Norimasa Nakashima, Seiji Fujino

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Tags: CUDA, Electrodynamics, FDTD, Finite-difference time-domain, nVidia, Tesla M2050, Tesla T10

December 12, 2012 by hgpu

Scalable Clustering for Vision using GPUs

Wasif Mohiuddin

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Tags: Algorithms, Clustering, Computer science, Computer vision, CUDA, Data mining, nVidia, nVidia GeForce 8600, nVidia GeForce GTX 280, nVidia GeForce GTX 480, nVidia GeForce GTX 580, Tesla T10, Thesis

August 26, 2012 by hgpu

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Saleh Dindar, Eric B. Ford, Mario Juric, Young In Yeo, Jianwei Gao, Aaron C. Boley, Benjamin Nelson, Jorg Peters

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Source codes

Tags: Astrophysics, CUDA, Differential equations, Earth and Planetary Astrophysics, Instrumentation and Methods for Astrophysics, Mathematical Software, N-body simulation, nVidia, nVidia GeForce GTX 480, ODEs, Ordinary differential equations, Package, Tesla C2070, Tesla M2070, Tesla T10

August 7, 2012 by hgpu

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

David Clarke, Aleksandar Ilic, Alexey Lastovetsky, Leonel Sousa

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Tags: Computer science, CPU cluster, GPU cluster, Heterogeneous systems, Matrix multiplication, nVidia, Tesla C2050, Tesla T10

June 5, 2012 by hgpu

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

Philippe Estival, Luc Giraud

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Tags: Computer science, CUBLAS, CUDA, Linear Algebra, Matrix multiplication, nVidia, Tesla T10

May 29, 2012 by hgpu

New Basic Linear Algebra Methods for Simulation on GPUs

Jian Shi, Yiwei Zhang, Blake langland, Jijun Tang, Roger Dougal

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Tags: Computer science, CUDA, Linear Algebra, nVidia, Tesla T10

April 9, 2012 by hgpu

Accelerating the FDTD Method Using SSE and Graphics Processing Units

Matthew J. Livesey

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Tags: Computer science, CUDA, Data parallelism, FDTD, Finite-difference time-domain, nVidia, Tesla M2050, Tesla T10, Thesis

March 28, 2012 by hgpu

Fast and Memory-Efficient Minimum Spanning Tree on the GPU

Scott Rostrup, Shweta Srivastava, Kishore Singhal

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Tags: Algorithms, Computer science, Graph theory, nVidia, Performance, Tesla S1070, Tesla T10

December 10, 2011 by hgpu

High Performance Multi-agent System based Simulations

Prashant Sethia

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Tags: Algorithms, Cloud, Computer science, CUDA, Distributed computing, MapReduce, nVidia, Package, Tesla T10

December 8, 2011 by hgpu

Multiresolution Flow Simulations on Multi/many-core Architectures

Diego Rossinelli

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Tags: Algorithms, Computational Complexity, CUDA, Differential equations, Fluid dynamics, Heterogeneous systems, nVidia, Partial differential equations, PDEs, Tesla S1070, Tesla T10, Thesis, Wavelet

November 29, 2011 by hgpu

Design of 3D FFT on Multi-GPU Clusters

Arpan Maheshwari

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Tags: CUDA, FFT, Fluid dynamics, GPU cluster, nVidia, Spectral methods, Tesla T10, Thesis

November 25, 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

Theoretical and Numerical Analysis of Three Approaches to the GPGPU Application of the Explicit FDTD Method

Development of a CUDA Implementation of the 3D FDTD Method

Scalable Clustering for Vision using GPUs

Swarm-NG: a CUDA Library for Parallel n-body Integrations with focus on Simulations of Planetary Systems

Hierarchical Partitioning Algorithm for Scientific Computing on Highly Heterogeneous CPU + GPU Clusters

A fight for performance and accuracy of the matrix multiplication routines: CUBLAS on Nvidia Tesla versus MKL and ATLAS on Intel Nehalem

New Basic Linear Algebra Methods for Simulation on GPUs

Accelerating the FDTD Method Using SSE and Graphics Processing Units

Fast and Memory-Efficient Minimum Spanning Tree on the GPU

Multiresolution Flow Simulations on Multi/many-core Architectures

Design of 3D FFT on Multi-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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