Exploiting 2.5D/3D Heterogeneous Integration for AI Computing

Zhenyu Wang, Jingbo Sun, Alper Goksoy, Sumit K. Mandal, Yaotian Liu, Jae-sun Seo, Chaitali Chakrabarti, Umit Ogras, Vidya Chhabria, Jeff Zhang, Yu Cao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The evolution of AI algorithms has not only revolutionized many application domains, but also posed tremendous challenges on the hardware platform. Advanced packaging technology today, such as 2.5D and 3D interconnection, provides a promising solution to meet the ever-increasing demands of bandwidth, data movement, and system scale in AI computing. This work presents HISIM, a modeling and benchmarking tool for chiplet-based heterogeneous integration. HISIM emphasizes the hierarchical interconnection that connects various chiplets through network-on-package. It further integrates technology roadmap, power/latency prediction, and thermal analysis together to support electro-thermal co-design. Leveraging HISIM with in-memory computing chiplets, we explore the advantages and limitations of 2.5D and 3D heterogenous integration on representative AI algorithms, such as DNNs, transformers, and graph neural networks.

Original languageEnglish (US)
Title of host publicationASP-DAC 2024 - 29th Asia and South Pacific Design Automation Conference, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages758-764
Number of pages7
ISBN (Electronic)9798350393545
DOIs
StatePublished - 2024
Event29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024 - Incheon, Korea, Republic of
Duration: Jan 22 2024Jan 25 2024

Publication series

NameProceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC

Conference

Conference29th Asia and South Pacific Design Automation Conference, ASP-DAC 2024
Country/TerritoryKorea, Republic of
CityIncheon
Period1/22/241/25/24

Keywords

  • 2.5D
  • 3D
  • Chiplet
  • Heterogeneous Integration
  • ML accelerators
  • Performance Analysis

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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