high performance computing on graphics processing units: hgpu.org

hgpu.org » Partial differential equations

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

Daniel N. Benedetti, W. Randolph Franklin, Wenli Li

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Tags: Algorithms, Compression, CUDA, Differential equations, Image processing, nVidia, Partial differential equations, PDEs, Thrust

October 10, 2013 by hgpu

Multi-GPU Acceleration of Black-Scholes Equation based Option Pricing

Di Zhao, Jinhang Yu

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Tags: Algorithms, CUDA, Differential equations, Finance, nVidia, nVidia GeForce GTX 660, Partial differential equations, PDEs

September 23, 2013 by hgpu

An Interface for Halo Exchange Pattern

Mauro Bianco

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Tags: Computer science, CUDA, nVidia, Partial differential equations, PDEs, Tesla K20, Tesla M2090

September 13, 2013 by hgpu

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Christopher D. Marcotte, Roman O. Grigoriev

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Tags: Chaotic Dynamics, Computational Physics, Nonlinear Sciences, nVidia, nVidia GeForce GTX 680, OpenCL, Partial differential equations, PDEs, Physics

September 9, 2013 by hgpu

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

Himadri Nath Moulick, Moumita Ghosh

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Tags: Algorithms, CUDA, Image processing, Medicine, MRI, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

August 26, 2013 by hgpu

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

Marek Blazewicz, Ian Hinder, David M. Koppelman, Steven R. Brandt, Milosz Ciznicki, Michal Kierzynka, Frank Loffler, Erik Schnetter, Jian Tao

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Tags: Code generation, Computational Physics, CUDA, Differential equations, Finite difference, MPI, nVidia, OpenMP, Partial differential equations, PDEs, Physics, Tesla M2050

July 25, 2013 by hgpu

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

C. E. Castro, J. Behrens, C. Pelties

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Tags: CUDA, Differential equations, Earth and Space Sciences, Geoscience, Hyperbolic PDEs, Matrix multiplication, nVidia, Partial differential equations, PDEs, Tesla C2070

July 15, 2013 by hgpu

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

Stabilized Backward Diffusion for Partial Volume Correction

Zsolt Marta

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Tags: Algorithms, Computed tomography, CT, Medicine, nVidia, nVidia GeForce GTX 480, OpenCL, Partial differential equations, PET, Tomography

May 16, 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

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

pyATF: Constraint-Based Auto-Tuning in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

CRIUgpu: Transparent Checkpointing of GPU-Accelerated Workloads

KernelBench: Can LLMs Write GPU Kernels?

KernelBench: Can LLMs Write Efficient GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Seamless acceleration of Fortran intrinsics via AMD AI engines

Forecasting time series with constraints

See all packages

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high performance computing on graphics processing units: hgpu.org

CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation

Multi-GPU Acceleration of Black-Scholes Equation based Option Pricing

An Interface for Halo Exchange Pattern

Implementation of PDE models of cardiac dynamics on GPUs using OpenCL

Optimal Control Problem and Power-Efficient Medical Image Processing Using Puma

From Physics Model to Results: An Optimizing Framework for Cross-Architecture Code Generation

CUDA-C implementation of the ADER-DG method for linear hyperbolic PDEs

Meshfree/GFEM in hardware-efficiency prospective

GPU-based Numerical Integration in the Partition of Unity Method

Stabilized Backward Diffusion for Partial Volume Correction

An Implementation of the Discontinuous Galerkin Method on Graphics Processing Units

Non-symmetric magnetohydrostatic equilibria: a multigrid approach

Recent source codes

wgpy: WebGL accelerated numpy-compatible array library for web browser

Microbenchmarking OpenMP target offload with Catch2

SUperman: Highly Efficient Permanent Computation Library

TransCL: An Automatic CUDA-to-OpenCL Programs Transformation Framework

pyATF: The Auto-Tuning Framework (ATF) in Python

TritonBench: Benchmarking Large Language Model Capabilities for Generating Triton Operators

Checkpoint/Restore tool

KernelBench: Can LLMs Write GPU Kernels?

An MLIR-based toolchain for AMD AI Engine-enabled devices

Forecasting time series with constraints

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