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EXTOLL and Data Movements in Heterogeneous Computing Environments

In: Sustained Simulation Performance 2014

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  • Holger Fröning

    (Ruprecht-Karls University of Heidelberg, Institute of Computer Engineering)

Abstract

Driven by the end of Dennard scaling, we are observing a fundamental transition to communication-centric computing systems, based on heterogeneous processing units like CPUs, GPUs and others. The vast increase of parallelism and heterogeneity together with the advent of Big Data leads to systems in which communication is more expensive than computation, both in terms of energy and time. This work reviews EXTOLL as a new contender in the HPC interconnect arena, highly optimized for such environments. EXTOLL has been designed from scratch for HPC needs, allowing for slim and efficient software stacks. In the second part we will focus on GGAS, a research project we use to explore data movement optimizations in heterogeneous environments using EXTOLL.

Suggested Citation

  • Holger Fröning, 2015. "EXTOLL and Data Movements in Heterogeneous Computing Environments," Springer Books, in: Michael M. Resch & Wolfgang Bez & Erich Focht & Hiroaki Kobayashi & Nisarg Patel (ed.), Sustained Simulation Performance 2014, edition 127, pages 127-139, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10626-7_11
    DOI: 10.1007/978-3-319-10626-7_11
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