Publication2015
Dynamic task scheduling using a directed neural network
The record
- Type
- Publication
- Date
- 1 January 2015
- Level
- National
- Journal
- Journal of Parallel and Distributed Computing
- Volume
- 75
- Pages
- 101-106
- Published
- 1 January 2015
- DOI
- 10.1016/j.jpdc.2014.09.015
- Scopus ID
- 84918818599
- ISSN
- 07437315
- Authors
- 3
- Open access
- No
- Citations
- 46
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Proposes novel directed search optimization algorithm for task scheduling in multi-processor grid environments with improved optimization performance over contemporary approaches.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Distributed computing task scheduling optimization represents infrastructure technology innovation for computational efficiency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Dynamic task scheduling using a directed neural network”. Kortex.