The Growing Cost of Deep Learning for Source Code: Attempting to mitigate problems associated with the trend toward massive dataset scaling.
The article opines on attempts to mitigate the problems engendered by massive dataset scaling with a focus on the costs of deep learning for source code. Costs associated with training artificial intelligences and artificial neural networks on a given computer model are identified. The author calls...
| Publicado en: | Communications of the ACM Vol. 65; no. 1; pp. 31 - 34 |
|---|---|
| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Association for Computing Machinery
Jan2022
|
| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=154455693&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 154455693 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00010782 ACM jtl: Communications of the ACM issn: 00010782 maglogo: N pubinfo: dt: Jan2022 vid: 65 iid: 1 pid: 68 pub: Association for Computing Machinery artinfo: ui: 154455693 10.1145/3501261 ppf: 31 ppct: 3 formats: tig: atl: The Growing Cost of Deep Learning for Source Code: Attempting to mitigate problems associated with the trend toward massive dataset scaling. aug: au: Hellendoorn, Vincent J. Sawant, Anand Ashok affil: Assistant professor of computer science at Carnegie Mellon University, Pittsburgh, PA, USA Research Professional at Siemens Corporate Technology, Princeton, NJ, USA su: Source code Deep learning Artificial intelligence Computer simulation Computer workstation clusters Big data sug: subj: Source code Deep learning Artificial intelligence Computer simulation Computer workstation clusters Big data ab: The article opines on attempts to mitigate the problems engendered by massive dataset scaling with a focus on the costs of deep learning for source code. Costs associated with training artificial intelligences and artificial neural networks on a given computer model are identified. The author calls networking computing clusters to combine computing power, increase collaboration, and reduce costs. pubtype: Periodical doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
|---|