Characterizing diverse handheld apps for customized hardware acceleration

Prasanna Venkatesh Rengasamy, Haibo Zhang, Nachiappan Chidambaram Nachiappan, Shulin Zhao, Anand Sivasubramaniam, Mahmut T. Kandemir, Chita R. Das

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

12 Scopus citations

Abstract

Current handhelds incorporate a variety of acceler-ators/IPs for improving their performance and energy efficiency. While these IPs are extremely useful for accelerating parts of a computation, the CPU still expends a significant amount of time and energy in the overall execution. Coarse grain customized hardware of Android APIs and methods, though widely useful, is also not an option due to the high hardware costs. Instead, we propose a fine-grain sequence of instructions, called a Load-to-Store (LOST) sequence, for hardware customization. A LOST sequence starts with a load and ends with a store, including dependent instructions in between. Unlike prior approaches to customization, a LOST sequence is defined based on a sequence of opcodes rather than a sequence of PC addresses or operands. We identify such commonly occurring LOST sequences within and across several popular apps and propose a design to integrate these customized hardware sequences as macro functional units into the CPU data-path. Detailed evaluation shows that such customized LOST sequences can provide an average of 25% CPU speedup, or 12% speedup for the entire system.

Original languageEnglish (US)
Title of host publicationProceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-196
Number of pages10
ISBN (Electronic)9781538612323
DOIs
StatePublished - Dec 5 2017
Event2017 IEEE International Symposium on Workload Characterization, IISWC 2017 - Seattle, United States
Duration: Oct 1 2017Oct 3 2017

Publication series

NameProceedings of the 2017 IEEE International Symposium on Workload Characterization, IISWC 2017
Volume2017-January

Other

Other2017 IEEE International Symposium on Workload Characterization, IISWC 2017
CountryUnited States
CitySeattle
Period10/1/1710/3/17

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Information Systems and Management

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