Dynamic Adaptation Techniques and Opportunities to Improve HPC Runtimes
University of Oregon
University of Oregon, 2021
@article{monil2021dynamic,
title={Dynamic Adaptation Techniques and Opportunities to Improve HPC Runtimes},
author={Monil, Mohammad Alaul Haque},
year={2021}
}
Exascale, a new era of computing, is knocking at the door. Leaving behind the days of high frequency, singlecore processors, the new paradigm of multicore/manycore processors in complex heterogeneous systems dominates today’s HPC landscape. With the advent of accelerators and special-purpose processors alongside general processors, the role of high performance computing (HPC) runtime systems has become crucial to support different computing paradigms under one umbrella. On one hand, modern HPC runtime systems have introduced a rich set of abstractions for supporting different technologies and hiding details from the HPC application developers. On the other hand, the underlying runtime layer has been equipped with techniques to efficiently synchronize, communicate, and map work to compute resources. Modern runtime layers can also dynamically adapt to achieve better performance and reduce energy consumption. However, the capabilities of runtime systems vary widely. In this study, the spectrum of HPC runtime systems is explored and evolution, common and dynamic features, and open problems are discussed.
July 11, 2021 by hgpu