skip to main content
DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A genetic algorithm based approach for multi-objective hardware/software co-optimization

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1349131
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Sustainable Computing
Additional Journal Information:
Journal Name: Sustainable Computing Journal Volume: 10 Journal Issue: C; Journal ID: ISSN 2210-5379
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English

Citation Formats

Banerjee, Tania, Gadou, Mohamed, and Ranka, Sanjay. A genetic algorithm based approach for multi-objective hardware/software co-optimization. Netherlands: N. p., 2016. Web. doi:10.1016/j.suscom.2016.04.001.
Banerjee, Tania, Gadou, Mohamed, & Ranka, Sanjay. A genetic algorithm based approach for multi-objective hardware/software co-optimization. Netherlands. doi:10.1016/j.suscom.2016.04.001.
Banerjee, Tania, Gadou, Mohamed, and Ranka, Sanjay. Wed . "A genetic algorithm based approach for multi-objective hardware/software co-optimization". Netherlands. doi:10.1016/j.suscom.2016.04.001.
@article{osti_1349131,
title = {A genetic algorithm based approach for multi-objective hardware/software co-optimization},
author = {Banerjee, Tania and Gadou, Mohamed and Ranka, Sanjay},
abstractNote = {},
doi = {10.1016/j.suscom.2016.04.001},
journal = {Sustainable Computing},
number = C,
volume = 10,
place = {Netherlands},
year = {2016},
month = {6}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1016/j.suscom.2016.04.001

Save / Share: