An Energy-Efficient Programmable Mixed-Signal Accelerator for Machine Learning Algorithms

Mingu Kang, Prakalp Srivastava, Vikram Adve, Nam Sung Kim, Naresh R. Shanbhag

Research output: Contribution to journalArticle


We propose PROMISE, the first end-to-end design of a PROgrammable MIxed-Signal accElerator from Instruction Set Architecture to high-level language compiler for acceleration of diverse machine learning algorithms by exploiting the advantage of the superior energy efficiency from analog/mixed-signal processing.

Original languageEnglish (US)
Article number8768342
Pages (from-to)64-72
Number of pages9
JournalIEEE Micro
Issue number5
StatePublished - Sep 1 2019


ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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