Analysis of Photonic Networks for a Chip Multiprocessor Using Scientific Applications

Abstract

As multiprocessors scale to unprecedented numbers of cores in order to sustain performance growth, it is vital that these gains are not nullified by high energy consumption from inter-core communication. With recent advances in 3D Integration CMOS technology, the possibility for realizing hybrid photonic-electronic networks-on-chip warrants investigating real application traces on functionally comparable photonic and electronic network designs. We present a comparative analysis using both synthetic benchmarks as well as real applications, run through detailed cycle accurate models implemented under the OMNeT++ discrete event simulation environment. Results show that when utilizing standard process-to-processor mapping methods, this hybrid network can achieve 75 improvement in energy efficiency for synthetic benchmarks and up to 37 improvement for real scientific applications, defined as network performance per energy spent, over an electronic mesh for large messages across a variety of communication patterns.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2009
Accession Number
ADA630713

Entities

People

  • Aleksandr Biberman
  • Ankit Jain
  • Benjamin G Lee
  • Gilbert Hendry
  • John Kubiatowicz
  • Johnnie Chan
  • Keren Bergman
  • Luca P. Carloni
  • Marghoob Mohiyuddin
  • Shoaib Kamil

Organizations

  • Columbia University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computer Science
  • Computing System Architectures
  • Data Transmission
  • Density Functional Theory
  • Efficiency
  • Electronic Components
  • Energy Consumption
  • Energy Efficiency
  • Equations
  • Materials Science
  • Mesh Networks
  • Network Architecture
  • Network Topology
  • Simulations
  • Standards
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Integrated Circuit Design and Technology.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design

Technology Areas

  • Microelectronics
  • Quantum Science - Quantum Key Distribution