Publication:

The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study

Date

2022
Proceedings Paper
https://doi.org/10.1007/978-3-031-15074-6_14
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dc.contributor.authorLamprakos, Christos P.
dc.contributor.authorPapadopoulos, Lazaros
dc.contributor.authorCatthoor, Francky
dc.contributor.authorSoudris, Dimitrios
dc.contributor.imecauthorCatthoor, Francky
dc.contributor.orcidimecCatthoor, Francky::0000-0002-3599-8515
dc.date.accessioned2023-01-26T14:17:14Z
dc.date.available2022-11-10T03:03:26Z
dc.date.available2023-01-26T14:17:14Z
dc.date.issued2022
dc.description.wosFundingTextThis research work was partially supported by the Hellenic Foundation for Research and Innovation (HFRI) under the 3rd Call for HFRI PhD Fellowships (fellowship number: 61/512200), as well as by the European Union's Horizon 2020 research and innovation programme under grant agreement No. 101021274.
dc.identifier.doi10.1007/978-3-031-15074-6_14
dc.identifier.eisbn978-3-031-15074-6
dc.identifier.isbn978-3-031-15073-9
dc.identifier.issn0302-9743
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40716
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage219
dc.source.conference22nd International Conference on Embedded Computer Systems - Architectures, Modeling, and Simulation (SAMOS)
dc.source.conferencedateJUL 03-07, 2022
dc.source.conferencelocationSamos
dc.source.endpage234
dc.source.journalLecture Notes in Computer Science
dc.source.numberofpages16
dc.source.volume13511
dc.title

The Impact of Dynamic Storage Allocation on CPython Execution Time, Memory Footprint and Energy Consumption: An Empirical Study

dc.typeProceedings paper
dspace.entity.typePublication
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