HDSAP: heterogeneity-aware dynamic scheduling algorithm to improve performance of nanoscale many-core processors for unknown workloads
Author:
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s11227-023-05159-6.pdf
Reference32 articles.
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3. Dinechin B D (2015) Kalray MPPA®: Massively parallel processor array: Revisiting DSP acceleration with the Kalray MPPA Manycore processor. In: 2015 IEEE Hot Chips 27 Symposium (HCS), pp 1–27
4. Raghunathan B, Turakhia Y, Garg S, Marculescu D (2013) Cherry-picking: Exploiting process variations in dark-silicon homogeneous chip multi-processors. In: Design, Automation & Test in Europe Conference & Exhibition (DATE), pp 39–44. https://doi.org/10.7873/DATE.2013.023
5. Raji M, Nikseresht M (2022) UMOTS: an uncertainty-aware multi-objective genetic algorithm-based static task scheduling for heterogeneous embedded systems. J Supercomput 78:279–314. https://doi.org/10.1007/s11227-021-03887-1
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