The offset cube: A three-dimensional multicomputer network topology using through-wafer optics

W. Stephen Lacy, José L. Cruz-Rivera, D. Scott Wills

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Three-dimensional packaging technologies are critical for enabling ultra-compact, massively parallel processors (MPPs) for embedded applications. Through-wafer optical interconnect has been proposed as a useful technology for building ultra-compact MPPs since it provides a simplified mechanism for interconnecting stacked multichip substrates. This paper presents the offset cube, a new network topology designed to exploit the packaging benefits of through-wafer optical interconnect in ultra-compact MPP systems. We validate the offset cube's topological efficiency by developing deadlock-free adaptive routing protocols with modest virtual channel requirements (only two virtual channels per link needed for full adaptivity). A preliminary analysis of router complexity suggests these protocols can be efficiently implemented in hardware. We also present a 3D mesh embedding for the offset cube. Network simulations show the offset cube performs comparably to a bidirectional 3D mesh of equal size under uniform, hot-spot, and trace-driven traffic loads. While the offset cube is not proposed as a general replacement for the mesh topology, it leverages the benefits of through-wafer optical interconnect more effectively than a mesh by completely eliminating chip-to-chip wires for data signals. Hence, the offset cube is an effective topology for interconnecting ultra-compact MCM-level MPP systems.

Original languageEnglish (US)
Pages (from-to)893-908
Number of pages16
JournalIEEE Transactions on Parallel and Distributed Systems
Volume9
Issue number9
DOIs
StatePublished - 1998
Externally publishedYes

Keywords

  • 3D mesh
  • 3D packaging
  • Adaptive routing
  • Deadlock freedom
  • MPP networks
  • Offset cube
  • Optical interconnect
  • Through-wafer signaling
  • Ultra-compact systems

ASJC Scopus subject areas

  • Signal Processing
  • Hardware and Architecture
  • Computational Theory and Mathematics

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