AWrite-friendly Arithmetic Coding Scheme for Achieving Energy-Efficient Non-Volatile Memory Systems
Journal
Proceedings of the Asia and South Pacific Design Automation Conference, ASP-DAC
Pages
633-638
Date Issued
2021
Author(s)
Abstract
In the era of the Internet of Things (IoT), wearable IoT devices become popular and closely related to our life. Most of these devices are based on the embedded systems that have to operate on limited energy resources, such as batteries or energy harvesters. Therefore, energy efficiency is one of the critical issues for these devices. To relieve the energy consumption by reducing the total accesses on memory and storage layers, the technologies of storage-class memory (SCM) and data compression techniques are applied to eliminate the data movements and squeeze the data size, respectively. However, the information gap between them hinders the cooperation among the two techniques for achieving further optimizations on minimizing energy consumption. This work proposes a write-friendly arithmetic coding with joint managing both techniques to achieve energy-efficient non-volatile memory (NVM) systems. In particular, the concept of ignorable bits is introduced to further skip the write operations while storing the compressed data into SCM devices. The proposed design was evaluated by a series of intensive experiments, and the results are encouraging. ? 2021 Association for Computing Machinery.
Subjects
Computer aided design; Digital arithmetic; Embedded systems; Energy efficiency; Energy resources; Energy utilization; Nonvolatile storage; Arithmetic Coding; Compressed datum; Data compression techniques; Internet of thing (IOT); Limited energy resource; Minimizing energy; Non-volatile memory; Storage-class memory; Internet of things
Other Subjects
Computer aided design; Digital arithmetic; Embedded systems; Energy efficiency; Energy resources; Energy utilization; Nonvolatile storage; Arithmetic Coding; Compressed datum; Data compression techniques; Internet of thing (IOT); Limited energy resource; Minimizing energy; Non-volatile memory; Storage-class memory; Internet of things
Type
conference paper