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Multithreaded Model for Dynamic Load Balancing Parallel Adaptive PDE Computations

出版	Cornell Theory Center, Cornell University, 1995
URL	http://books.google.com.hk/books?id=zbdFAQAAMAAJ&hl=&source=gbs_api

註釋Abstract: "We present a multithreaded model for the dynamic load- balancing of numerical, adaptive computations required for the solution of Partial Differential Equations (PDEs) on multiprocessors. Multithreading is used as a means of exploring concurrency at the processor level in order to tolerate synchronization costs inherent to traditional (non-threaded) parallel adaptive PDE solvers. Our preliminary analysis for parallel, adaptive PDE solvers indicates that multithreading can be used as a mechanism to mask overheads required for the dynamic balancing of processor workloads with computations required for the actual numerical solution of the PDEs. Also, multithreading can simplify the implementation of dynamic load-balancing algorithms, a task that is very difficult for traditional data parallel adaptive PDE computations. Unfortunately, multithreading does not always simplify program complexity, often makes code re-usability difficult, and increases software complexity."