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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

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

Shallow Water Simulation on GPUs for Sparse Domains

Martin L. Saetra

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Tags: CUDA, Fluid dynamics, nVidia, Partial differential equations, PDEs

June 29, 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

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

Justin McKennon, Gary Forrester, Gaurav Khanna

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Tags: ATI, ATI Radeon HD 7970, Differential equations, General Relativity and Quantum Cosmology, Gravitation, Gravitational waves, nVidia, OpenCL, Partial differential equations, PDEs, Physics, Tesla C2050

June 4, 2012 by hgpu

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

VCV.Rao, Nisha Agrawa, Samrit Maity

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Tags: AMD FirePro V5900, AMD FirePro V7900, AMD FireStream 9350, ATI, Computer science, CUDA, Differential equations, FEM, Finite difference, Finite element method, GPU cluster, Heterogeneous systems, Linear Algebra, MPI, nVidia, OpenCL, Partial differential equations, PDEs, Tesla C2060

May 19, 2012 by hgpu

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Jeswin Godwin, Justin Holewinski, P. Sadayappan

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 280, nVidia GeForce GTX 580, Partial differential equations, PDEs, Sparse matrix, Tesla C2050

April 25, 2012 by hgpu

Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Takayuki Muranushi

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Tags: Algorithms, Astrophysics, CUDA, Differential equations, Instrumentation and Methods for Astrophysics, nVidia, Package, Partial differential equations, PDEs, Tesla M2050

April 25, 2012 by hgpu

Impact of asynchronism on GPU accelerated parallel iterative computations

Sylvain Contassot-Vivier, Thomas Jost, Stephane Vialle

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Tags: Computer science, Heterogeneous systems, nVidia, nVidia GeForce 8800 GT, nVidia GeForce GTX 285, Partial differential equations, PDEs, Performance

March 22, 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

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high performance computing on graphics processing units: hgpu.org

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

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

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

Shallow Water Simulation on GPUs for Sparse Domains

Autotuning Stencil-Based Computations on GPUs

High Accuracy Gravitational Waveforms from Black Hole Binary Inspirals Using OpenCL

C-DAC’s Efforts – Application Kernels on HPC Cluster with GPU Accelerators

High-performance sparse matrix-vector multiplication on GPUs for structured grid computations

Paraiso : An Automated Tuning Framework for Explicit Solvers of Partial Differential Equations

Impact of asynchronism on GPU accelerated parallel iterative computations

Recent source codes

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LLaMA-Inference-Bench

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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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