Resource characterisation of personal-scale sensing models on edge accelerators

• المؤلفون الرئيسيون: ANTONINI, Mattia, VU, Tran Huy, MIN, Chulhong, MONTANARI, Alessandro, MATHUR, Akhil, KAWSAR, Fahim
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2019
• الموضوعات: resource characterisation; edge accelerators; sensing models; Artificial Intelligence and Robotics
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/studentpub/13; https://ink.library.smu.edu.sg/context/studentpub/article/1012/viewcontent/3363347.3363363.pdf
• المؤسسة: Singapore Management University

Edge accelerator is a class of brand-new purpose-built System On a Chip (SoC) for running deep learning models efficiently on edge devices. These accelerators offer various benefits such as ultra-low latency, sensitive data protection, and high availability due to their locality and are opening up i...