Tag: gpgpu
AMD 2013 Developer Summit
For the third consecutive year, AMD invites computing innovators, developers and researchers in the rapidly growing field of heterogeneous computing to submit their latest work and research findings in the form of archival presentations for AMD’s annual developer summit.
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.…
Implementation of a High Performance GPGPU Compiler
In this paper we present our experience in developing an optimizing compiler for general purpose computation on graphics processing units (GPGPU) based on the Cetus compiler framework.
GPU programming with Python
Why use GPUs from Python? This workshop will provide a brief introduction to GPU programming with Python, including run-time code generation and use of high-level tools like PyCUDA and PyOpenCL, and Loo.py.
Early Bird Discount for GTC 2013
2013 GPU Technology Conference (GTC), the world’s premier event for accelerated computing. Learn tips and tricks while networking with fellow enthusiasts and NVIDIA engineers. Hosted by NVIDIA March 18-21 in San Jose, California.
GPU-FS-kNN: A Software Tool for Fast and Scalable kNN Computation Using GPUs
Our GPU-based Fast and Scalable k-Nearest Neighbour search technique (GPU-FS-kNN) provides a significant performance improvement for nearest neighbour computation in large-scale networks.
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.
OpenACC GPU Programming Workshop
The Pittsburgh Supercomputing Center, the National Institute for Computational Sciences and Georgia Tech will present an OpenACC GPU programming workshop on January 15 and 16, 2013.
