Computation and data transfer co-scheduling for interconnection bus minimization

C Q Xu, C.J. Xue, B.C. Hu, E. H. M. Sha

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

2 Citations (Scopus)

Abstract

High Instruction-Level-Parallelism in DSP and media applications demands highly clustered architecture. It is challenge to design an efficient, flexible yet cost saving interconnection network to satisfy the rapid increasing inter-cluster data transfer needs. This paper presents a computation and data transfer co-scheduling technique to minimize the number of partially connected interconnection buses required for a given embedded application while minimizing its schedule length. Previous researches in this area focused on scheduling computations to minimize the number of inter-cluster data transfers. The proposed co-scheduling technique in this paper not only schedules computations to reduce the number of inter-cluster data transfers, but also schedules inter- cluster data transfers to minimize the number of required partially connected buses for inter-cluster connection network. Experimental results indicate that 39.4% fewer buses required compared to current best known technique while achieving the same schedule length minimization. © 2009 IEEE.
Original languageEnglish
Title of host publicationProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Pages311-316
DOIs
Publication statusPublished - 2009
EventAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009 - Yokohama, Japan
Duration: 19 Jan 200922 Jan 2009

Conference

ConferenceAsia and South Pacific Design Automation Conference 2009, ASP-DAC 2009
Country/TerritoryJapan
CityYokohama
Period19/01/0922/01/09

Research Keywords

  • Cluster tools
  • digital signal processing chips
  • field buses
  • processor scheduling
  • scheduling
  • DSP
  • computation
  • data transfer co-scheduling
  • high instruction-level-parallelism
  • inter-cluster connection network
  • inter-cluster data transfers
  • partially connected interconnection buses
  • schedule length minimization
  • Clustered Processors
  • Data Path Synthesis
  • Interconnection Network
  • Scheduling

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