2.5 A 40×40 Four-Neighbor Time-Based In-Memory Computing Graph ASIC Chip Featuring Wavefront Expansion and 2D Gradient Control

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

8 Scopus citations

Abstract

Single-source shortest path (SSP) problems have a rich history of algorithm development [1-3]. SSP has many applications including AI decision making, robot navigation, VLSI signal routing, autonomous vehicles and many other classes of problems that can be mapped onto graphs. Conventional algorithms rely on sequentially traversing the search space, which is inherently limited by traditional computer architecture. In graphs which become very large, this slow processing time can become a bottleneck in real world applications. We propose a time-based ASIC to address this issue. Our design leverages a dedicated hardware implementation to solve these problems in linear time complexity with superior energy efficiency. A 40×40 four-neighbor grid implements a wavefront (WF) expansion with a first-in lockout mechanism to enable traceback. Outside the array, a programmable resistive ladder provides bias voltages to the edge cells, which enables pulse shaping reminiscent of the A∗ algorithm [3].

Original languageEnglish (US)
Title of host publication2019 IEEE International Solid-State Circuits Conference, ISSCC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages50-52
Number of pages3
ISBN (Electronic)9781538685310
DOIs
StatePublished - Mar 6 2019
Event2019 IEEE International Solid-State Circuits Conference, ISSCC 2019 - San Francisco, United States
Duration: Feb 17 2019Feb 21 2019

Publication series

NameDigest of Technical Papers - IEEE International Solid-State Circuits Conference
Volume2019-February
ISSN (Print)0193-6530

Conference

Conference2019 IEEE International Solid-State Circuits Conference, ISSCC 2019
Country/TerritoryUnited States
CitySan Francisco
Period2/17/192/21/19

Bibliographical note

Funding Information:
This research was supported in part by the National Science Foundation under award number CCF-1763761.

Publisher Copyright:
© 2019 IEEE.

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