DocumentCode
3775164
Title
Measuring the gap between programmable and fixed-function accelerators: A case study on speech recognition
Author
Yunsup Lee;David Sheffield;Andrew Waterman;Michael Anderson;Kurt Keutzer;Krste Asanovic
Author_Institution
University of California, Berkeley, United States
fYear
2013
Firstpage
1
Lastpage
2
Abstract
As power and energy consumption have become the key design constraint of mobile systems, mobile system-on-chip (SoC) architects have dedicated a progressively larger area budget to custom accelerators: graphics processors, audio/video codecs, and image signal processors abound. Fixed-function accelerators now occupy more than half of the die area of these chips [2], and we foresee this trend only to progress in the near future.
Keywords
"Program processors","Speech recognition","Speech recognition","Energy consumption","Hidden Markov models"
Publisher
ieee
Conference_Titel
Hot Chips 25 Symposium (HCS), 2013 IEEE
Type
conf
DOI
10.1109/HOTCHIPS.2013.7478326
Filename
7478326
Link To Document