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Methods for optimizing the performance of directed acyclic graphs operating under strict energy constraints on multi-core architectures.

, , and . Sustain. Comput. Informatics Syst., 1 (2): 99-112 (2011)

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Performance, Energy, and Temperature Enabled Task Scheduling using Evolutionary Techniques., , and . Sustain. Comput. Informatics Syst., (2019)Sixteen Heuristics for Joint Optimization of Performance, Energy, and Temperature in Allocating Tasks to Multi-Cores., and . ACM Trans. Parallel Comput., 3 (2): 9:1-9:29 (2016)Benchmarking the task scheduling algorithms for performance, energy, and temperature optimization., , and . Sustain. Comput. Informatics Syst., (2020)A comparison of evolutionary techniques for task-to-core scheduling algorithms with performance, energy, and temperature optimization., , and . IGSC, page 1-8. IEEE Computer Society, (2016)Niched evolutionary techniques for performance, energy, and temperature optimized scheduling in multi-core systems., and . IGSC, page 1-6. IEEE Computer Society, (2015)A multi-staged niched evolutionary approach for allocating parallel tasks with joint optimization of performance, energy, and temperature., and . J. Parallel Distributed Comput., (2019)An Evolutionary Technique for Performance-Energy-Temperature Optimized Scheduling of Parallel Tasks on Multi-Core Processors., , and . IEEE Trans. Parallel Distributed Syst., 27 (3): 668-681 (2016)Efficient heuristics for joint optimization of performance, energy, and temperature in allocating tasks to multi-core processors., and . IGCC, page 1-8. IEEE Computer Society, (2014)Dynamic task graph scheduling on multicore processors for performance, energy, and temperature optimization., and . IGCC, page 1-6. IEEE Computer Society, (2013)Fast algorithms for thermal constrained performance optimization in DAG scheduling on multi-core processors., and . IGCC, page 1-8. IEEE Computer Society, (2011)