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作者机构:IIT Hyderabad Dept Comp Sci & Engn Hyderabad Telangana India
出 版 物:《JOURNAL OF SYSTEMS ARCHITECTURE》 (系统结构杂志)
年 卷 期:2019年第97卷
页 面:373-396页
核心收录:
学科分类:08[工学] 0835[工学-软件工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:Science and Engineering Research Board (SERB) India [ECR/2017/000622]
主 题:Data movement Encoding technique Energy saving Sparse code Limited weight coding Value locality Value prediction
摘 要:In modern processors, data-movement consumes two orders of magnitude higher energy than a floating-point operation and hence, data-movement is becoming the primary bottleneck in scaling the performance of modern processors within the fixed power budget. Intelligent data-encoding techniques hold the promise of reducing the data-movement energy. In this paper, we present a survey of encoding techniques for reducing data-movement energy. By classifying the works on key metrics, we bring out their similarities and differences. This paper is expected to be useful for computer architects, processor designers and researchers in the area of interconnect and memory system design.