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Optimization of Hybrid Parallel Application Execution in Heterogeneous High Performance Computing Systems Considering Execution Time and Power Consumption by Rościszewski, Paweł is a scholarly article available to read on EtoBox.

What is Optimization of Hybrid Parallel Application Execution in Heterogeneous High Performance Computing Systems Considering Execution Time and Power Consumption about?

Many important computational problems require utilization of high performance computing (HPC) systems that consist of multi-level structures combining higher and higher numbers of devices with various characteristics. Utilizing full power of such systems requires programming parallel applications that are hybrid in two meanings: they can utilize parallelism on multiple levels at the same time and combine together programming interfaces specific for various types of computing devices. The main goal of parallel processing is increasing the processing performance, and therefore decreasing the application execution time. The international HPC community is targeting development of "Exascale" supercomputers (able to sustain $10^{18}$ floating point operations per second) by the year 2020. One of the main obstacles to achieving this goal is power consumption of the computing systems that exceeds the energy supply limits. New programming models and algorithms that consider this criterion are one of the key areas where significant progress is necessary in order to achieve the goal. The goal of the dissertation is to extract a general model of hybrid parallel application execution in heterog

Author
Rościszewski, Paweł
Published
2018
Language
EN

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