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This chapter ends with Foster's methodology for parallel algorithm design.
We propose architecture independent parallel algorithm design as a framework for writing parallel code that is scalable, portable and reusable.
Nevertheless, taking full advantages of modern architectures requires in many cases not only sophisticated parallel algorithm design but also knowledge of modern architectural features.
At the same time, advances in stream programming abstraction for graphics processors (GPUs) have enabled us to use parallel algorithm design methods for GPU programming.
Section 2 describes the basic requirements for the parallel algorithm design, Sect. 3 presents an independent parallel algorithm with redundant computations, Sect. 4 presents an optimized version with reduced redundancy, Sect. 5 presents the numerical study, and Sect.
Even though more refined algorithms and implementations (sequential or parallel) for the stated problems exist, the complexity and performance of the introduced algorithms is sufficient to raise the issues that are important in architecture independent parallel algorithm design.
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These synchronization protocols, however, are seldom used in parallel algorithm designs, especially for algorithms under the SPMD paradigm, as their implementations are highly hardware dependent and their costs are hard to characterize.
This article intends to simplify parallel programming by generating parallel programs from parallelized algorithm design strategies.
Parallel graph algorithm design is a very well studied topic.
A parallel algorithm is designed to improve the performance.
MOLA's parallel algorithm was designed to scan for AutoDock4 or Vina jobs launched on each node every 3 seconds.
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