Inferring Energy Bounds via Static Program Analysis and Evolutionary Modeling of Basic Blocks [chapter]

Umer Liqat, Zorana Banković, Pedro Lopez-Garcia, Manuel V. Hermenegildo
<span title="">2018</span> <i title="Springer International Publishing"> <a target="_blank" rel="noopener" href="" style="color: black;">Lecture Notes in Computer Science</a> </i> &nbsp;
The ever increasing number and complexity of energy-bound devices (such as the ones used in Internet of Things applications, smart phones, and mission critical systems) pose an important challenge on techniques to optimize their energy consumption and to verify that they will perform their function within the available energy budget. In this work we address this challenge from the software point of view and propose a novel approach to estimating accurate parametric bounds on the energy consumed
more &raquo; ... by program executions that are practical for their application to energy verification and optimization. Our approach divides a program into basic (branchless) blocks and performs a best effort mod-eling to estimate upper and lower bounds on the energy consumption for each block using an evolutionary algorithm. Then it combines the obtained values according to the program control flow, using a safe static analysis, to infer functions that give both upper and lower bounds on the energy consumption of the whole program and its procedures as functions on input data sizes. We have tested our approach on (C-like) embed-ded programs running on the XMOS hardware platform. However, our method is general enough to be applied to other microprocessor architectures and programming languages. The bounds obtained by our prototype implementation on a set of benchmarks were always safe and quite accurate. This supports our hypothesis that our approach offers a good compromise between safety and accuracy, and can be applied in practice for energy verification and optimization.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="">doi:10.1007/978-3-319-94460-9_4</a> <a target="_blank" rel="external noopener" href="">fatcat:xk772uh3r5dppfig3lp56f3qim</a> </span>
<a target="_blank" rel="noopener" href="" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href=""> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> </button> </a>