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Energy-Efficient Heterogeneous Computing at exaSCALE—ECOSCALE

  • Konstantinos Georgopoulos
  • Iakovos MavroidisEmail author
  • Luciano Lavagno
  • Ioannis Papaefstathiou
  • Konstantin Bakanov
Chapter

Abstract

In the effort for exascale performance, current High-Performance Computing (HPC) systems need to be improved. Simple hardware scaling is not a feasible solution due to the increasing utility costs and power consumption limitations. Hence, apart from improvements in implementation technology, what is needed is to refine the HPC application development flow as well as the system architecture of future HPC systems. ECOSCALE tackles precisely these challenges by proposing a scalable programming environment and architecture, aiming to substantially reduce energy consumption as well as data traffic and latency. Furthermore, ECOSCALE introduces a novel heterogeneous energy-efficient hierarchical architecture, as well as a hybrid many-core+OpenCL programming environment and runtime system. The ECOSCALE approach is hierarchical and is expected to scale well by partitioning the physical system into multiple independent Workers. Workers are interconnected in a tree-like fashion and define a contiguous global address space that can be viewed either as a set of partitions in a Partitioned Global Address Space (PGAS), or as a set of nodes hierarchically interconnected via an MPI-like protocol. To further increase energy efficiency, as well as to provide resilience, the Workers employ reconfigurable accelerators mapped onto the virtual address space by utilising a dual-stage system memory management unit with coherent memory access. The architecture supports shared partitioned reconfigurable resources accessed by any Worker in a PGAS partition, as well as automated hardware synthesis of these resources from an OpenCL-based programming model.

Notes

Acknowledgements

This research project is supported by the European Commission under the H2020 Programme and the ECOSCALE project (grant agreement 671632).

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  • Konstantinos Georgopoulos
    • 1
  • Iakovos Mavroidis
    • 1
    Email author
  • Luciano Lavagno
    • 1
  • Ioannis Papaefstathiou
    • 1
  • Konstantin Bakanov
    • 1
  1. 1.Telecommunication Systems Institute (TSI), Technical University of CreteChaniaGreece

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