μ-Genie: A Framework for Memory-Aware Spatial Processor Architecture Co-Design Exploration

Giulio Stramondo, Manil Dev Gomony, Bartek Kozicki, Cees De Laat, Ana Lucia Varbanescu

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Spatial processor architectures are essential to meet the increasing demand in performance and energy efficiency of both embedded and high performance computing systems. Due to the growing performance gap between memories and processors, the memory system of ten determines the overall performance and power consumption in silicon. The interdependency between memory system and spatial processor architectures suggests that they should be co-designed. For the same reason, state-of-The-Art design methodologies for processor architectures are ineffective for spatial processor architectures because they do not include the memory system. In this paper, we present μ-Genie: An automated framework for co-design-space exploration of spatial processor architecture and the memory system, starting from an application description in a high-level programming language. In addition, we propose a spatial processor architecture template that can be configured at design-Time for optimal hardware implementation. To demonstrate the effectiveness of our approach, we show a case study of co-designing a spatial processor using different memory technologies.

Original languageEnglish
Title of host publication2020 23rd Euromicro Conference on Digital System Design (DSD)
EditorsAndrej Trost, Andrej Zemva, Amund Skavhaug
PublisherInstitute of Electrical and Electronics Engineers
Pages180-184
Number of pages5
ISBN (Electronic)9781728195353
DOIs
Publication statusPublished - 8 Oct 2020
Event23rd Euromicro Conference on Digital System Design, DSD 2020 - Kranj, Slovenia, Kranj, Slovenia
Duration: 26 Aug 202028 Aug 2020

Conference

Conference23rd Euromicro Conference on Digital System Design, DSD 2020
Country/TerritorySlovenia
CityKranj
Period26/08/2028/08/20

Keywords

  • framework
  • memory
  • spatial processor

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