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

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

ISPASS（2013）

引用 2|浏览109

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摘要

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.

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关键词

power aware computing,retail store,video capabilities,intelligent home,emerging applications-and-algorithms-for-low-power device workload suite,compute-intensive applications,low-power electronics,hardware accelerators,automotive industries,audio capabilities,machine learning capabilities,image capabilities,computer architecture,emerald workload suite,hardware,algorithm design and analysis,vectors,engines,minimization,computational modeling,low power electronics,acceleration

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