Data Dependent Energy Modeling for Worst Case Energy Consumption Analysis

Author:

Pallister James1,Kerrison Steve1,Morse Jeremy1,Eder Kerstin1

Affiliation:

1. Department of Computer Science, University of Bristol, UK

Funder

European Commission

Seventh Framework Programme

Publisher

ACM

Cited by 6 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. Compiling Haskell for Energy Efficiency: Empirical Analysis of Individual Transformations;Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing;2024-04-08

2. WIP: Towards a Transactional Network Stack for Power-Failure Resilience;2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

3. Reliable Basic Block Energy Accounting;Lecture Notes in Computer Science;2023

4. Static Worst-Case Analyses and Their Validation Techniques for Safety-Critical Systems;Ernst Denert Award for Software Engineering 2020;2022

5. Real-Time Power Analysis of Smart Sensors Using Advanced Debugging Methods;Micromachines;2021-10-20

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