Affiliation:
1. University of Minnesota, Twin Cities, Minneapolis, MN, USA
Abstract
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.
Funder
National Science Foundation
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Graphics and Computer-Aided Design,Software
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Data Recomputation for Multithreaded Applications;2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD);2023-10-28
2. Architecture-Aware Currying;2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT);2023-10-21