high performance computing on graphics processing units: hgpu.org

hgpu.org » PDEs

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

K.A. Hawick and D.P. Playne

View

Tags: Code generation, Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 295, Partial differential equations, PDEs

February 13, 2011 by hgpu

Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications

D.P. Playne, K.A. Hawick

View

Download (PDF)

Tags: Computer science, CUDA, Finite difference, nVidia, nVidia GeForce GTX 260, nVidia GeForce GTX 480, Partial differential equations, PDEs

February 13, 2011 by hgpu

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

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

View

Download (PDF)

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

January 26, 2011 by hgpu

Cardiac simulation on multi-GPU platform

Venkata Nimmagadda, Ali Akoglu, Salim Hariri, Talal Moukabary

Tags: GPU cluster, Medicine, PDEs

January 13, 2011 by hgpu

Acceleration of cardiac tissue simulation with graphic processing units

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

View

Download (PDF)

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

View

Download (PDF)

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

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

A Superresolution Framework for High-Accuracy Multiview Reconstruction

Bastian Goldlucke, Daniel Cremers

View

Download (PDF)

Tags: Computer science, Optimization, PDEs

November 25, 2010 by hgpu

A multigrid solver for boundary value problems using programmable graphics hardware

Nolan Goodnight, Cliff Woolley, Gregory Lewin, David Luebke, Greg Humphreys

View

Download (PDF)

Tags: Cg, Fluid dynamics, Fluid simulation, nVidia, nVidia GeForce FX 5800 Ultra, PDEs

November 25, 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

View

Download (PDF)

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

View

Download (PDF)

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

November 8, 2010 by hgpu

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

SimSYCL: A SYCL Implementation Targeting Development, Debugging, Simulation and Conformance

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

gpu_tracker: Python package for tracking and profiling GPU utilization in both desktop and high-performance computing environments

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

94% on CIFAR-10 in 3.29 Seconds on a Single GPU

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

LOOPer: A Learned Automatic Code Optimizer For Polyhedral Compilers

OpenMC Monte Carlo Code

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs

Polygeist: C/C++ frontend for MLIR

Retargeting and Respecializing GPU Workloads for Performance Portability

Parallel Gaussian process with kernel approximation in CUDA

See all packages

* * *

high performance computing on graphics processing units: hgpu.org

Automated and parallel code generation for finite-differencing stencils with arbitrary data types

Comparison of GPU Architectures for Asynchronous Communication with Finite-Differencing Applications

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

Cardiac simulation on multi-GPU platform

Acceleration of cardiac tissue simulation with graphic processing units

Low viscosity flow simulations for animation

Towards Accelerated Computation of Atmospheric Equations Using CUDA

A Superresolution Framework for High-Accuracy Multiview Reconstruction

A multigrid solver for boundary value problems using programmable graphics hardware

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

SimSYCL: Synchronous, single-threaded, library-only SYCL implementation for debugging and verification

GPU plugin for PySCF

QArray

Celerity: High-level C++ for Accelerator Clusters

gpu_tracker: Context manager and CLI that tracks the computational-resource-usage of a code block or shell command, particularly the GPU usage

CIFAR-10 Airbench: 94% on CIFAR-10 in 3.29 second

LOOPer: a polyhedral compiler for expressing fast and portable data parallel algorithms

OpenMC Monte Carlo Code

Polygeist: C/C++ frontend for MLIR

Parallel Gaussian process with kernel approximation in CUDA

Most viewed papers (last 30 days)