P-sync: A photonically enabled architecture for efficient non-local data access

David Whelihan, Jeffrey J. Hughes, Scott M. Sawyer, Eric Robinson, Michael Wolf, Sanjeev Mohindra, Julie Mullen, Anna Klein, Michelle Beard, Nadya Bliss, Johnnie Chan, Robert Hendry, Keren Bergman, Luca P. Carloni

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Communication in multi- and many-core processors has long been a bottleneck to performance due to the high cost of long-distance electrical transmission. This difficulty has been partially remedied by architectural constructs such as caches and novel interconnect topologies, albeit at a steep cost in terms of complexity. Unfortunately, even these measures are rendered ineffective by certain kinds of communication, most notably scatter and gather operations that exhibit highly non-local data access patterns. Much work has gone into examining how the increased bandwidth density afforded by chip-scale silicon photonic interconnect technologies affects computing, but photonics have additional properties that can be leveraged to greatly accelerate performance and energy efficiency under such difficult loads. This paper describes a novel synchronized global photonic bus and system architecture called P-sync that uses photonics' distance independence to greatly improve performance on many important applications previously limited by electronic interconnect. The architecture is evaluated in the context of a non-local yet common application: the distributed Fast Fourier Transform. We show that it is possible to achieve high efficiency by tightly balancing computation and communication latency in P-sync and achieve upwards of a 6x performance increase on gather patterns, even when bandwidth is equalized.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 27th International Parallel and Distributed Processing Symposium, IPDPS 2013
Pages189-200
Number of pages12
DOIs
StatePublished - 2013
Externally publishedYes
Event27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013 - Boston, MA, United States
Duration: May 20 2013May 24 2013

Other

Other27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013
Country/TerritoryUnited States
CityBoston, MA
Period5/20/135/24/13

Keywords

  • computer architecture
  • network on chip
  • silicon photonics

ASJC Scopus subject areas

  • Software

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