Category: Physical Science
High-Precision Numerical Simulations on a CUDA GPU: Kerr Black Hole Tails
In this paper, we describe such an application in the research area of black hole physics: studying the late-time behavior of decaying fields in Kerr black hole space-time
Accelerating numerical modeling of wave propagation through 2-D anisotropic materials using OpenCL
We present an implementation of the numerical modeling of elastic waves propagation, in 2D anisotropic materials, using the new parallel computing devices (PCDs)
GPU in Physics Computation: Case Geant4 Navigation
The goal was to find out whether Geant4 physics simulations could benefit from GPU acceleration and how difficult it is to modify Geant4 code to run in a GPU
Simulations of Complex and Microscopic Models of Cardiac Electrophysiology Powered by Multi-GPU Platforms
Key aspects of cardiac electrophysiology, such as slow conduction, conduction block, and saltatory effects have been the research topic of many studies since they are strongly related to cardiac arrhythmia, reentry, fibrillation, or defibrillation. However, to reproduce these phenomena the numerical models need to use subcellular discretization for the solution of the PDEs and nonuniform,…
Genetic Algorithm Modeling with GPU Parallel Computing Technology
We present a multi-purpose genetic algorithm, designed and implemented with GPGPU / CUDA parallel computing technology. The model was derived from a multi-core CPU serial implementation, named GAME, already scientifically successfully tested and validated on astrophysical massive data classification problems, through a web application resource (DAMEWARE), specialized in data mining based on Machine Learning paradigms.…
Progress towards accelerating HOMME on hybrid multi-core systems
We demonstrate that the most expensive kernel in the model executes more than three times faster on the GPU than the CPU. These improvements are expected to provide improved efficiency when incorporated into the full model that has been configured for the target problem
A comparison of the FDTD algorithm implemented on an integrated GPU versus a GPU configured as a co-processor
The FDTD method is implemented on the Accelerated Processing Unit’s integrated GPU using the DirectCompute application programming interface and compared against an FDTD implementation on a GPU configured as a co-processor via a PCIe bus.
Test-driving Intel Xeon Phi coprocessors with a basic N-body simulation
Colfax International published interesting whitepaper: Intel Xeon Phi coprocessors are capable of delivering more performance and better energy efficiency than Intel Xeon processors for certain parallel applications. In this paper, Andrey Vladimirov of Stanford University and Vadim Karpusenko of Colfax International, investigate the porting and optimization of a test problem for the Intel Xeon Phi…
Multi-GPU codes for spin systems simulations
We present and compare different approaches for using multiple Graphics Processing Units in the simulation of spin systems.
Numerical Solutions of Heat and Mass Transfer in Capillary Porous Media Using Programmable Graphics Hardware
We have presented our numerical approximations to the solution of the heat and mass transfer equation with the second kind of boundary and initial conditions using finite difference method on GPGPUs.
