Hybrid Parallel Computing Strategies for Scientific Computing Applications

Hybrid Parallel Computing Strategies for Scientific Computing Applications

Multi-core, multi-processor, and Graphics Processing Unit (GPU) computer architectures pose significant challenges with respect to the efficient exploitation of parallelism for large-scale, scientific computing simulations. For example, a simulation of the human tonsil at the cellular level involves...

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Bibliographic Details
Main Author: Lee, Joo Hong
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
Pthreads
Parallel Programming
GPU Acceleration
Scientific Computing
Biological Systems Simulation
Hybrid Algorithms
Parallel Monte Carlo Algorithms
OpenMP
Hybrid Computing
Radiative Heat Transfer
Multiprocessor
Multi-threaded Software Performance
Online Access:http://hdl.handle.net/10919/28882
http://scholar.lib.vt.edu/theses/available/etd-09062012-201814/

Internet

http://hdl.handle.net/10919/28882
http://scholar.lib.vt.edu/theses/available/etd-09062012-201814/

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