EMERALD: Characterization of emerging applications and algorithms for low-power devices

Chuanjun Zhang, Glenn G. Ko, Jung Wook Choi, Shang Nien Tsai, Minje Kim, Abner Guzman Rivera, Rob Rutenbar, Paris Smaragdis, Mi Sun Park, Vijaykrishnan Narayanan, Hongyi Xin, Onur Mutlu, Bin Li, Li Zhao, Mei Chen, Ravi Iyer

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

Abstract

Compute-intensive applications are emerging in intelligent home, retail store and automotive industries. These applications are becoming more sophisticated with new features rich in audio, video, image, and machine learning capabilities that demand heavy computations. We present the EMERALD (EMERging Applications and algorithms for Low power Device) workload suite. We profile the workloads to show the hotspot functions that are candidates for hardware accelerators.

Original languageEnglish (US)
Title of host publicationISPASS 2013 - IEEE International Symposium on Performance Analysis of Systems and Software
Pages122-123
Number of pages2
DOIs
StatePublished - 2013
Event2013 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2013 - Austin, TX, United States
Duration: Apr 21 2013Apr 23 2013

Publication series

NameISPASS 2013 - IEEE International Symposium on Performance Analysis of Systems and Software

Other

Other2013 IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2013
CountryUnited States
CityAustin, TX
Period4/21/134/23/13

All Science Journal Classification (ASJC) codes

  • Software

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