Hamming Tree: The Case for Energy-Aware Indexing for NVMs-Reference-Cited by-同舟云学术

Hamming Tree: The Case for Energy-Aware Indexing for NVMs

Published:2023-06-13 Issue:2 Volume:1 Page:1-27
ISSN:2836-6573
Container-title:Proceedings of the ACM on Management of Data
language:en
Short-container-title:Proc. ACM Manag. Data

Author:

Kargar Saeed¹^ORCID,Nawab Faisal²^ORCID

Affiliation:

1. University of California, Santa Cruz, Santa Cruz, CA, USA

2. University of California, Irvine, Irvine, CA, USA

Abstract

Non-volatile memory (NVM) technologies are widely adopted in data storage solutions and battery-powered mobile and IoT devices. Wear-out and energy efficiency are two vital challenges facing the use of NVM. In Hamming Tree, we propose a software-level memory-aware solution that picks the memory segment of where a write operation is applied judiciously to minimize bit flipping. It has been shown that reducing bit flips leads to reducing energy consumption and improving write endurance. We performed real evaluations on an Optane memory device that show that Hamming Tree can achieve up to 67.8% reduction in energy consumption.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/3589327

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