An early-stage statement-level metric for energy characterization of embedded processors-Reference-Cited by-同舟云学术

An early-stage statement-level metric for energy characterization of embedded processors

Published:2020-09 Issue: Volume:77 Page:103200
ISSN:0141-9331
Container-title:Microprocessors and Microsystems
language:en
Short-container-title:Microprocessors and Microsystems

Author:

Muttillo Vittoriano,Giammatteo Paolo,Stoico Vincenzo,Pomante Luigi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Software

Reference48 articles.

1. CONTREX: Design of embedded mixed-criticality control systems under consideration of extra-functional properties;Grttner;Microprocess. Microsyst.,2017

2. A multi-granularity power modeling methodology for embedded processors;Park;IEEE Trans. Very Large Scale Integr. VLSI Syst.,2011

3. CC4CS: An off-the-shelf unifying statement-level performance metric for HW/SW technologies;Muttillo,2018

4. GCov Profiler, 2018. (accessed: 21.10.2019) https://gcc.gnu.org/onlinedocs/gcc/Gcov.html.

5. Energy consumption estimation technique in embedded processors with stable power consumption based on source-code operator energy figures;Castillo,2007

Cited by 3 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. Energy Consumption Prediction Framework in Model-based Development for Edge Devices;2024 IEEE 3rd Real-Time and Intelligent Edge Computing Workshop (RAGE);2024-05-13

2. An energy-efficient single-cycle RV32I microprocessor for edge computing applications;Integration;2023-01

3. Statement-Level Timing Estimation for Embedded System Design Using Machine Learning Techniques;Proceedings of the ACM/SPEC International Conference on Performance Engineering;2021-04-09