A Simulator and Compiler Framework for Agile Hardware-Software Co-design Evaluation and Exploration

Tyler Sorensen, Aninda Manocha, Esin Tureci, Marcelo Orenes-Vera, Juan L. Aragon, Margaret Martonosi

Research output: Contribution to journalConference articlepeer-review

Abstract

As Moore's Law has slowed and Dennard Scaling has ended, architects are increasingly turning to heterogeneous parallelism and hardware-software co-design. These trends present new challenges for simulation-based performance assessments that are central to early-stage architectural exploration. Simulators must be lightweight to support heterogeneous combinations of general-purpose cores and specialized processing units. They must also support agile exploration of hardware-software co-design, i.e. changes in the programming model, compiler, ISA, and specialized hardware. To meet these challenges, we describe our compiler and simulator pair: DEC++ and MosaicSim. Together, they provide a lightweight, modular simulator for heterogeneous systems, offering accuracy and agility designed specifically for hardware-software co-design explorations. The simulator and corresponding compiler were developed as part of the DECADES project, a multi-team effort to design and tape out a new heterogeneous architecture. We will present two case-studies in important data-science applications where DEC++ and MosaicSim enable straightforward design space explorations for emerging full-stack systems.

Original languageEnglish (US)
Article number9256600
JournalIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Volume2020-November
DOIs
StatePublished - Nov 2 2020
Event39th IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2020 - Virtual, San Diego, United States
Duration: Nov 2 2020Nov 5 2020

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

Keywords

  • hardware-software co-design. LLVM simulation
  • heterogeneous systems
  • performance modeling

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