How Low Can You Go?

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

1 Scopus citations


It could be said that much of the evolution of computers has been the quest to make use of the exponentially-growing amount of on-chip circuitry that Moore predicted in 1965 - a trend that many now claim is coming to an end [1]. Whether that rate slows or not, it is no longer the driver; there is already more circuitry than can be continuously powered. The immediate future of parallel language and compiler technology should be less about finding and using parallelism and more about maximizing the return on investment of power. Programming language constructs generally operate on data words, and so does most compiler analysis and transformation. However, individual word-level operations often harbor pointless, yet power hungry, lower-level operations. This paper suggests that parallel compilers should not only be identifying and manipulating massive parallelism, but that the analysis and transformations should go all the way down to the bit or gate level with the goal of maximizing parallel throughput per unit of power consumed. Several different ways in which compiler analysis can go lower than word-level are discussed.

Original languageEnglish
Title of host publicationLanguages and Compilers for Parallel Computing - 30th International Workshop, LCPC 2017, Revised Selected Papers
EditorsLawrence Rauchwerger
Number of pages8
StatePublished - 2019
Event30th Workshop on Languages and Compilers for Parallel Computing, LCPC 2017 - College Station, United States
Duration: Oct 11 2017Oct 13 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11403 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference30th Workshop on Languages and Compilers for Parallel Computing, LCPC 2017
Country/TerritoryUnited States
CityCollege Station

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.


  • Accuracy
  • Bit-slice
  • Logic optimization
  • Precision

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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