high performance computing on graphics processing units: hgpu.org

hgpu.org » Finite difference

Exploring reconfigurable architectures for explicit finite difference option pricing models

Qiwei Jin, David B. Thomas, Wayne Luk

View

Download (PDF)

Tags: CUDA, Finance, Finite difference, FPGA, nVidia, nVidia GeForce 8600 GT, Tesla C1060

August 3, 2011 by hgpu

High-Performance Reverse Time Migration on GPU

Javier Cabezas, Mauricio Araya-Polo, Isaac Gelado, Nacho Navarro, Enric Morancho, Jose M. Cela

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Finite difference, Geoscience, nVidia, nVidia GeForce GTX 280, Partial differential equations, PDEs

July 22, 2011 by hgpu

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Shaojing Li, Boris Livshitz, Vitaliy Lomakin

View

Download (PDF)

Tags: CUDA, Electrodynamics, Finite difference, nVidia, nVidia GeForce GTX 280

July 7, 2011 by hgpu

Visual Simulation of Heat Shimmering and Mirage

Ye Zhao, Yiping Han, Zhe Fan, Feng Qiu, Yu-Chuan Kuo, Arie E. Kaufman, Klaus Mueller

View

Download (PDF)

Tags: Computer science, Finite difference, Lattice Boltzmann model, nVidia, nVidia GeForce 6800 Ultra, OpenGL, Raytracing, Rendering

June 8, 2011 by hgpu

SSE Vectorized and GPU Implementations of Arakawa’s Formula for Numerical Integration of Equations of Fluid Motion

E. Yurtesen, M. Ropo, M. Aspnas, J. Westerholm

Tags: Finite difference, Fluid dynamics

May 24, 2011 by hgpu

Performance Evaluation of Optimized Implementations of Finite Difference Method for Wave Propagation Problems on GPU Architecture

Diego Brandao, Marcelo Zamith, Esteban Clua, Anselmo Montenegro, Andre Bulcao, Daniel Madeira, Mauricio Kischinhevsky, Regina C.P. Leal-Toledo

Tags: Acoustics, Finite difference, Hardware Architecture, Physics

May 6, 2011 by hgpu

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Dagang Wu, Ji Chen

Tags: Computational Engineering, CUDA, Finite difference, nVidia, nVidia GeForce 9800 GT, Physics

April 18, 2011 by hgpu

Fast seismic modeling and Reverse Time Migration on a GPU cluster

Rached Abdelkhalek, Henri Calendra, Olivier Coulaud, Jean Roman, Guillaume Latu

View

Download (PDF)

Tags: CUDA, Earth and Space Sciences, Finite difference, GPU cluster, nVidia, Seismic modeling, Seismology, Tesla S1070

April 10, 2011 by hgpu

A general relativistic evolution code on CUDA architectures

Burkhard Zink

View

Download (PDF)

Tags: Astrophysics, CUDA, Finite difference, Instrumentation and Methods for Astrophysics, nVidia, nVidia Quadro FX 5600

February 28, 2011 by hgpu

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

K.A. Hawick and D.P. Playne

View

Download (PDF)

Tags: CUDA, Finite difference, nVidia, nVidia GeForce GTX 480, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

D.P. Playne and K.A. Hawick

View

Download (PDF)

Tags: Alloys, CUDA, Finite difference, nVidia, Physics, Thermodynamics, Visualization

February 14, 2011 by hgpu

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

K.A. Hawick and D.P.Playne

View

Download (PDF)

Tags: Algorithms, Alloys, Finite difference, Partial differential equations, PDEs, Physics, Thermodynamics, Visualization

February 14, 2011 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

Exploring reconfigurable architectures for explicit finite difference option pricing models

High-Performance Reverse Time Migration on GPU

Graphics Processing Unit Accelerated O(N) Micromagnetic Solver

Visual Simulation of Heat Shimmering and Mirage

SSE Vectorized and GPU Implementations of Arakawa’s Formula for Numerical Integration of Equations of Fluid Motion

Performance Evaluation of Optimized Implementations of Finite Difference Method for Wave Propagation Problems on GPU Architecture

Efficient characterizations of composite materials electrical properties based on GPU accelerated finite difference method

Fast seismic modeling and Reverse Time Migration on a GPU cluster

A general relativistic evolution code on CUDA architectures

Numerical Simulation of the Complex Ginzburg-Landau Equation on GPUs with CUDA

Data Parallel Three-Dimensional Cahn-Hilliard Field Equation Simulation on GPUs with CUDA

Modelling, simulating and visualising the Cahn-Hilliard-Cook field equation

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)