Title :
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
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;
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
DOI :
10.1109/ISPASS.2013.6557154
