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Understanding large-scale application behavior is critical for effectively utilizing existing HPC resources and making design decisions for upcoming systems. In this work we present a methodology for characterizing an MPI application's large-scale computation behavior and system requirements using information about the behavior of that application at a series of smaller core counts. The methodology...
The increasing power and decreasing cost of Graphic Processing Units (GPUs) together with the development of programming languages for General Purpose Computing on GPUs (GPGPU) have led to the development and implementation of fast parallel algorithms for this architecture for a large spectrum of applications. Given the streaming-processing characteristics of GPUs, most practical applications so far...
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