high performance computing on graphics processing units: hgpu.org

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Meshfree/GFEM in hardware-efficiency prospective

Rong Tian

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Tags: Algorithms, Computer science, CUDA, nVidia, nVidia GeForce GTX 285, Partial differential equations, PDEs

July 10, 2013 by hgpu

GPU-based Numerical Integration in the Partition of Unity Method

Sebastian Kanis

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Tags: Computer science, CUDA, Differential equations, Mathematics, nVidia, nVidia GeForce GTX 560 Ti, Partial differential equations, PDEs, Tesla K20, Thesis

May 17, 2013 by hgpu

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Martin Fuhry

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Tags: Computer science, CUDA, Differential equations, nVidia, nVidia GeForce GTX 460, nVidia GeForce GTX 580, Package, Partial differential equations, PDEs, Thesis

May 11, 2013 by hgpu

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

D. MacTaggart, A. Elsheikh, J. A. McLaughlin, R. D. Simitev

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Tags: Astrophysics, CUDA, Differential equations, Electrodynamics, Finite difference, Magnetohydrodynamics, nVidia, Partial differential equations, PDEs

May 8, 2013 by hgpu

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

M. D. Korzec, T. Ahnert

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Tags: CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, nVidia GeForce GTX 260, Partial differential equations, PDEs, Spectral methods

March 20, 2013 by hgpu

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

Eike Mueller, Xu Guo, Robert Scheichl, Sinan Shi

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Tags: Algorithms, Computer science, Conjugate gradient solver, CUDA, Differential equations, Numerical Analysis, nVidia, Partial differential equations, PDEs, Tesla M2090

March 2, 2013 by hgpu

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

Hrag Gorune Krikor Ohannessian

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Tags: Acoustics, CUDA, Differential equations, Finite volume method, Hyperbolic PDEs, Mathematics, nVidia, nVidia GeForce GTX 460, Partial differential equations, PDEs, Tesla C2050, Wave equation

December 12, 2012 by hgpu

GPU accelerating the FEniCS Project

Fredrik Heffer Valdmanis

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Tags: Computer science, CUDA, Differential equations, Linear Algebra, nVidia, Partial differential equations, PDEs, Tesla C2070, Thesis

December 8, 2012 by hgpu

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Bruno Gouvea de Barros, Rafael Sachetto Oliveira, Wagner Meira Jr., Marcelo Lobosco, Rodrigo Weber dos Santos

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Tags: Cluster computing, CUDA, Heterogeneous systems, Medicine, nVidia, ODEs, Ordinary differential equations, Partial differential equations, PDEs, Tesla C1060

December 3, 2012 by hgpu

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Dominik Goeddeke, Dimitri Komatitsch, Markus Geveler, Dirk Ribbrock, Nikola Rajovic, Nikola Puzovic, Alex Ramirez

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Tags: ARM, Differential equations, Energy-efficient computing, Fluid dynamics, Fluid simulation, Lattice Boltzmann model, nVidia, Partial differential equations, PDEs, Spectral elements

November 26, 2012 by hgpu

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

Charis Harley

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Tags: Algorithms, CUDA, Differential equations, Mathematics, Numerical simulation, nVidia, Partial differential equations, PDEs

November 1, 2012 by hgpu

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

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

GigaAPI for GPU Parallelization

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle

DuoReduce: MLIR's benchmark

Hardware-Assisted Software Testing and Debugging for Heterogeneous Computing

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high performance computing on graphics processing units: hgpu.org

Meshfree/GFEM in hardware-efficiency prospective

GPU-based Numerical Integration in the Partition of Unity Method

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Time-stepping methods for the simulation of the self-assembly of nano-crystals in Matlab on a GPU

Matrix-free GPU implementation of a preconditioned conjugate gradient solver for anisotropic elliptic PDEs

CUDACLAW: a Data Parallel Solution Framework for Hyperbolic PDEs

GPU accelerating the FEniCS Project

Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms

Energy efficiency vs. performance of the numerical solution of PDEs: an application study on a low-power ARM-based cluster

Numerical Simulation of the Frank-Kamenetskii PDE: GPU vs. CPU Computing

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

Recent source codes

PELSI: Power-Efficient Layer-Switched Inference

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MSCCL++: A GPU-driven communication stack for scalable AI applications

Benchmark compute shader of Unity against InteropUnityCUDA

Data-efficient LLM Fine-tuning for Code Generation

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Large Language Model Powered C-to-CUDA Code Translation: A Novel Auto-Parallelization Framework

GigaAPI: a user-space API that simplifies multi-GPU programming, bridging the gap between the capabilities of parallel GPU systems and the ability of developers to harness their full potential

Coccinelle: a C code transformation engine using SmPL for matches, refactorings, and bug fixing

DuoReduce: MLIR's benchmark

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