Generation of heterogeneous distributed architectures for memory-intensive applications through high-level synthesis

Chao Huang, Srivaths Ravi, Anand Raghunathan, Niraj Kumar Jha

Research output: Contribution to journalArticle

18 Scopus citations

Abstract

Memory-intensive applications present unique challenges to an application-specific integrated circuit (ASIC) designer in terms of the choice of memory organization, memory size requirements, bandwidth and access latencies, etc. The high potential of single-chip distributed logic-memory architectures in addressing many of these issues has been recognized in general-purpose computing, and more recently, in ASIC design. The high-level synthesis (HLS) techniques presented in this paper are motivated by the fact that many memory-intensive applications exhibit irregular array data access patterns. Synthesis should, therefore, be capable of determining a partitioned architecture, wherein array data and computations may have to be heterogeneously distributed for achieving the best performance speed-up. We use a combination of clustering and min-cut style partitioning techniques to yield distributed architectures, based on simulation profiling while considering various factors including data access locality, balanced workloads, inter-partition communication, etc. Our experiments with several benchmark applications show that the proposed techniques yielded two-way partitioned architectures that can achieve upto 2.1× (average of 1.9×) performance speed-up over conventional HLS solutions, while achieving upto 1.5× (average of 1.4×) performance speed-up over the best homogeneous partitioning solution feasible. At the same time, the reduction in the energy-delay product over conventional single-memory designs is upto 2.7× (average of 2.0×). A larger amount of partitioning makes further system performance improvement achievable at the cost of chip area.

Original languageEnglish (US)
Pages (from-to)1191-1203
Number of pages13
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume15
Issue number11
DOIs
StatePublished - Nov 1 2007

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Keywords

  • Application-specific integrated circuit (ASIC)
  • Behavioral synthesis
  • High-level synthesis
  • Memory-intensive application
  • Partitioning

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