一句话：指出低温计算架构单元在成本效益与可行性上的根本挑战，并定位低温优化缓存设计问题。
低温计算（例如在 77K 下运行计算机）有望通过显著降低漏电功耗和导线电阻，大幅提升性能与能效。然而，计算机体系结构设计者在开发和部署低温最优架构单元时面临根本挑战：目前对低温方案的成本效益与可行性缺乏理解，例如器件与制冷成本相对于性能加速、能耗与面积节省之间的权衡，以及应当如何架构这类低温最优单元。论文以 CryoCache 为题，关注低温场景下的缓存/存储层次架构问题，但给出的摘要未说明具体设计方法、实现机制或实验评估，主要贡献是提出并定位该体系结构研究方向及其关键开放问题。
Cryogenic computing, which is to run a computer at extremely low temperatures (e.g., 77K), is a highly promising solution to dramatically improve the computer's performance and power efficiency thanks to the significantly reduced leakage power and wire resistance. However, computer architects are facing fundamental challenges in developing and deploying cryogenic-optimal architectural units due to the lack of understanding about its cost-effectiveness and feasibility (e.g., device and cooling costs vs. speedup, energy and area saving) and thus how to architect such cryogenic-optimal units.
DOI 原文 ·
@inproceedings{paperbot5446,
title = {CryoCache},
author = {Dongmoon Min and Ilkwon Byun and Gyu-Hyeon Lee and Seongmin Na and Jangwoo Kim},
booktitle = {ASPLOS},
year = {2020},
doi = {10.1145/3373376.3378513}
}