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Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Matthias Korch

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Tags: Computer science, Differential equations, nVidia, nVidia GeForce GTX 580, ODEs, OpenCL, Ordinary differential equations, Partial differential equations, PDEs

October 2, 2012 by hgpu

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Sarah Amalie King

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Tags: Algorithms, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GT 640 M, Optimization, Partial differential equations, PDEs, Tesla C2050, Thesis

September 7, 2012 by hgpu

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang

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Tags: Computational Physics, CUDA, Differential equations, FFT, Heterogeneous systems, Mathematics, Numerical Analysis, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Poisson equation

August 22, 2012 by hgpu

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

Peter Edward Aackermann, Peter J. Dinesen Pedersen

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Tags: Algorithms, CUDA, Differential equations, Fluid dynamics, nVidia, nVidia GeForce GTX 590, Partial differential equations, PDEs, Thesis

August 10, 2012 by hgpu

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

Manuel Rodriguez Rodriguez, Bobby Philip, Zhen Wang, Mark Berrill

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050, Tesla X2090

August 10, 2012 by hgpu

CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

W. Randolph Franklin, You Li, Tsz-Yam Lau, Peter Fox

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Tags: Algorithms, Compression, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs

August 8, 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

A stand-alone Finite Difference Time Domain (FDTD) simulation for Integrated Optoelectronics Laboratory

Sathya Swaroop Ganta

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Tags: CUDA, Differential equations, Electrodynamics, FDTD, Finite difference, Finite-difference time-domain, Maxwell's equations, nVidia, nVidia GeForce 8400 GS, Optoelectronics, Python, Tesla C2075, Thesis

July 13, 2012 by hgpu

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Christopher William Miller

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Tags: Algorithms, Computer science, CUDA, Differential equations, nVidia, Partial differential equations, PDEs, Tesla C2050

July 11, 2012 by hgpu

Stencil-Aware GPU Optimization of Iterative Solvers

Chekuri Choudary, Jeswin Godwin, Justin Holewinski, Deepan Karthik, Daniel Lowell, Azamat Mametjanov, Boyana Norris, Gerald Sabin, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, Optimization, Partial differential equations, PDEs, Sparse matrix, Tesla C2050, Tesla M2070

July 11, 2012 by hgpu

GPU-based Assembly of Stiffness Matrices in the Parallel Multilevel Partition of Unity Method

Sebastian Kanis

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Tags: Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Thesis

July 5, 2012 by hgpu

Autotuning Stencil-Based Computations on GPUs

Azamat Mametjanov, Daniel Lowell, Ching-Chen May, Boyana Norris

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Tags: Computer science, CUDA, Differential equations, nVidia, Package, Partial differential equations, PDEs, Sparse matrix, Tesla C1060, Tesla C2070

June 9, 2012 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

Exploiting Limited Access Distance of ODE Systems for Parallelism and Locality in Explicit Methods

Multi-Moment Methods for PDEs and GPUs for Large-Scale Scientific Computations

Numerical Study of Geometric Multigrid Methods on CPU–GPU Heterogeneous Computers

Development of a GPU-accelerated MIKE 21 Solver for Water Wave Dynamics

Block-Relaxation Methods for 3D Constant-Coefficient Stencils on GPUs and Multicore CPUs

CUDA-Accelerated HD-ODETLAP: Lossy High Dimensional Gridded Data Compression

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

A stand-alone Finite Difference Time Domain (FDTD) simulation for Integrated Optoelectronics Laboratory

Fast Algorithms for the Solution of Stochastic Partial Differential Equations

Stencil-Aware GPU Optimization of Iterative Solvers

GPU-based Assembly of Stiffness Matrices in the Parallel Multilevel Partition of Unity Method

Autotuning Stencil-Based Computations on GPUs

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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