AMNESIAC : Amnesic Automatic Computer Trading Computation for Communication for Energy Efficiency ∗
AMNESIAC : Amnesic Automatic Computer Trading Computation for Communication for Energy Efficiency ∗
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AMNESIAC：记忆缺失自动计算机交易计算，用于通信以提高能源效率*
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Ulya R. Karpuzcu
中科院分区：
文献类型：
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作者：
Ismail Akturk;Ulya R. Karpuzcu
由于技术缩放的不平衡，数据存储和通信的能耗远远超过实际数据生产的能耗，即，计算因此，重新计算数据可以比存储和检索预先计算的数据更节能。同时，重计算可以缓解存储层次和通信带宽的压力。因此，本研究评估了通信交易计算的能源效率前景。我们介绍了一个说明性的概念验证设计，确定实际的限制，并提供设计指南。
Due to imbalances in technology scaling, the energy consumption of data storage and communication by far exceeds the energy consumption of actual data production, i.e., computation. As a consequence, recomputing data can become more energy-efficient than storing and retrieving precomputed data. At the same time, recomputation can relax the pressure on the memory hierarchy and the communication bandwidth. This study hence assesses the energy efficiency prospects of trading computation for communication. We introduce an illustrative proof-of-concept design, identify practical limitations, and provide design guidelines.