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Diminishing returns from increased clock frequencies and instruction‐level parallelism have forced computer architects to adopt architectures that exploit wider parallelism through multiple processor cores. While emerging many‐core architectures have progressed at a remarkable rate, concerns arise regarding the performance and productivity of numerous parallel‐programming tools for application development...
The current generation of genome sequencers produces orders of magnitude more sequencing data at a fraction of their former cost, a development that has repositioned the sequencing bottleneck from data acquisition to alignment and analysis. Optimal alignment algorithms, such as Smith-Waterman (SW), provide the most desirable output in terms of sensitivity and accuracy, but are perceived as too computationally...
With many-core processor architectures emerging, concerns arise regarding the productivity of numerous parallel programming tools, models, and languages as developers from a broad spectrum of science domains struggle to maximize performance and maintain correctness of their applications. Fortunately, a partitioned global address space (PGAS) programming model has demonstrated realizable performance...
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