Processing in Storage Class Memory

Authors: 

Joel Nider, Craig Mustard, Andrada Zoltan, and Alexandra Fedorova, University of British Columbia
Outstanding New Research Direction Award Finalist

Abstract: 

Storage and memory technologies are experiencing unprecedented transformation. Storage-class memory (SCM) delivers near-DRAM performance in non-volatile storage media and became commercially available in 2019. Unfortunately, software is not yet able to fully benefit from such high-performance storage. Processing-in-memory (PIM) aims to overcome the notorious memory wall; at the time of writing, hardware is close to being commercially available. This paper takes a position that PIM will become an integral part of future storage-class memories, so data processing can be performed in-storage, saving memory bandwidth and CPU cycles. Under that assumption, we identify typical data-processing tasks poised for in-storage processing, such as compression, encryption and format conversion. We present evidence supporting our assumption and present some feasibility experiments on new PIM hardware to show the potential.

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BibTeX
@inproceedings {254292,
author = {Joel Nider and Craig Mustard and Andrada Zoltan and Alexandra Fedorova},
title = {Processing in Storage Class Memory},
booktitle = {12th {USENIX} Workshop on Hot Topics in Storage and File Systems (HotStorage 20)},
year = {2020},
url = {https://www.usenix.org/conference/hotstorage20/presentation/nider},
publisher = {{USENIX} Association},
month = jul,
}

Presentation Video