high performance computing on graphics processing units: hgpu.org

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Weak execution ordering – exploiting iterative methods on many-core GPUs

Jianmin Chen, Zhuo Huang, Feiqi Su, Jih-Kwon Peir, Jeff Ho, Lu Peng

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Tags: Computer vision, CUDA, Image processing, nVidia, Partial differential equations, PDEs, Tesla C1060

January 26, 2011 by hgpu

Acceleration of cardiac tissue simulation with graphic processing units

Daisuke Sato, Yuanfang Xie, James Weiss, Zhilin Qu, Alan Garfinkel, Allen Sanderson

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Tags: CUDA, Medicine, nVidia, nVidia GeForce 8800 GT, nVidia GeForce 9800 GX2, ODEs, Ordinary differential equations, Partial differential equations, PDEs

December 15, 2010 by hgpu

Low viscosity flow simulations for animation

Jeroen Molemaker, Jonathan M. Cohen, Sanjit Patel, Jonyong Noh

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Tags: 3D Graphics and Realism, Computer science, CUDA, Fluid dynamics, nVidia, nVidia GeForce 8800 GTX, Partial differential equations, PDEs

December 12, 2010 by hgpu

Simulation of atmospheric binary mixtures based on two-fluid model

S. Liu, Z. Wang, Z. Gong, Q. Peng

Tags: Earth and Space Sciences, Fluid dynamics, Navier-Stokes equations, NSEs, Partial differential equations

December 12, 2010 by hgpu

Towards Accelerated Computation of Atmospheric Equations Using CUDA

Vaclav Simek, Radim Dvorak, Frantisek Zboril, Jiri Kunovsky

Tags: CUDA, Earth and Space Sciences, nVidia, Partial differential equations, PDEs

November 27, 2010 by hgpu

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Tobias Brandvik, Graham Pullan

Tags: Computer science, CUDA, nVidia, Partial differential equations, PDEs

November 20, 2010 by hgpu

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

Duy M. Dang, Christina Christara, Kenneth R. Jackson

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Tags: CUDA, Finance, Finite difference, nVidia, Partial differential equations, PDEs, Tesla T10

November 19, 2010 by hgpu

A framework for exploring numerical solutions of advection-reaction-diffusion equations using a GPU-based approach

Allen Sanderson, Miriah Meyer, Robert Kirby, Chris Johnson

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Tags: Cg, Diffusion equation, Mathematics, nVidia, nVidia GeForce 6800 Ultra, Partial differential equations, PDEs

November 8, 2010 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

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high performance computing on graphics processing units: hgpu.org

Weak execution ordering – exploiting iterative methods on many-core GPUs

Acceleration of cardiac tissue simulation with graphic processing units

Low viscosity flow simulations for animation

Simulation of atmospheric binary mixtures based on two-fluid model

Towards Accelerated Computation of Atmospheric Equations Using CUDA

SBLOCK: A Framework for Efficient Stencil-Based PDE Solvers on Multi-core Platforms

Parallel Implementation on GPUs of ADI Finite Difference Methods for Parabolic PDEs with Applications in Finance

A framework for exploring numerical solutions of advection-reaction-diffusion equations using a GPU-based approach

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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