Protean:自适应硬件加速间歇计算

IF 0.7 Q4 TELECOMMUNICATIONS
A. Bakar, Rishabh Goel, Jasper de Winkel, Jason Huang, Saad Ahmed, Bashima Islam, P. Pawełczak, K. Yıldırım, Josiah D. Hester
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引用次数: 0

摘要

如今的智能设备电池寿命短,安装和维护成本高,而且报废速度快——所有这些都导致了过去20年电子垃圾的爆炸式增长。随着连接设备的数量到2035年增长到一万亿,这些问题将会恶化。能量收集、无电池设备提供了另一种选择。去掉电池可以减少电子垃圾,保证更长的使用寿命,并且可以部署在新的应用程序和环境中。不幸的是,开发具有复杂推理能力的应用程序仍然具有挑战性。缺乏对高级(32位)微处理器和专用加速器(可以执行数据密集型机器学习任务)的平台支持,阻碍了无电池设备的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protean: Adaptive Hardware-Accelerated Intermittent Computing
Today's smart devices have short battery lifetimes, high installation and maintenance costs, and rapid obsolescence - all leading to the explosion of electronic waste in the past two decades. These problems will worsen as the number of connected devices grows to one trillion by 2035. Energy harvesting, battery-free devices offer an alternative. Getting rid of the battery reduces e-waste, promises long lifetimes, and enables deployment in new applications and environments. Unfortunately, developing sophisticated inference-capable applications is still challenging. The lack of platform support for advanced (32-bit) microprocessors and specialized accelerators, which can execute dataintensive machine-learning tasks, has held back batteryless devices.
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