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

Author

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

fYear

2013

fDate

21-23 April 2013

Firstpage

122

Lastpage

123

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.

Keywords

computer architecture; low-power electronics; power aware computing; EMERALD workload suite; audio capabilities; automotive industries; compute-intensive applications; emerging applications-and-algorithms-for-low-power device workload suite; hardware accelerators; image capabilities; intelligent home; machine learning capabilities; retail store; video capabilities; Acceleration; Algorithm design and analysis; Computational modeling; Engines; Hardware; Minimization; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Performance Analysis of Systems and Software (ISPASS), 2013 IEEE International Symposium on

Conference_Location

Austin, TX

Print_ISBN

978-1-4673-5776-0

Electronic_ISBN

978-1-4673-5778-4

Type

conf

DOI

10.1109/ISPASS.2013.6557154

Filename

6557154