Efficient code development for improving execution performance in high-performance computing centers

Clicks: 251
ID: 111318
2020
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #2 of 3 articles by views in the journal of supercomputing

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
pérez-toledano2020theefficient Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Javier Corral-García,Felipe Lemus-Prieto,Miguel-Ángel Pérez-Toledano;Javier Corral-García;Felipe Lemus-Prieto;Miguel-Ángel Pérez-Toledano;
Journal the journal of supercomputing
Year 2020
DOI
10.1007/s11227-020-03382-z
URL
https://sciprofiles.com/publication/view/bfdcde1f85b9b06207464438d5b280c0
Keywords
high-performance computing performance optimization code optimization efficient code computer science general programming languages compilers interpreters processor architectures

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.