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نمایش تعداد 1-10 از 21
Physical-Aware Task Migration Algorithm for Dynamic Thermal Management of SMT Multi-core Processors
This paper presents a task migration algorithm for
dynamic thermal management of Simultaneous
Multi-Threading (SMT) multi-core processors. The unique
features of this algorithm include: 1) considering SMT...
Dynamic Task Priority Scaling for Thermal Management of Multi-core Processors with Heavy Workload
, 2) reducing task migration and provide load
balancing using dynamic task priority scaling, 3) targeting DTM for systems with high workload. This algorithm is evaluated on a commercial quad-core processor. The experimental results indicate...
Distributed minimum-time weight balancing over digraphs
Proactive task migration with a self-adjusting migration threshold for dynamic thermal management of multi-core processors
Request for more computation power steadily forces designers to provide more powerful processors usingmore number of cores on a single chip. The increasing complexity of processors leads to higher integration density, power ...
A Predictive Task Migration Algorithm with Adaptive Migration Threshold for Dynamic Thermal Management of Multi-Core Processors
and temperature. For avoiding thermal emergencies, various dynamic thermal management techniques have been presented. In this paper, we present a task migration algorithm with novel online self-adjusting migration threshold schema for better dynamic thermal...
Physical-aware predictive dynamic thermal management of multi-core processors
The advances in silicon process technology have made it possible to have processors with larger number
of cores. The increment of cores number has been hindered by increasing power consumption and heat
dissipation ...
An Adaptive Temperature Threshold Schema for Dynamic Thermal Management of Multi-Core Processors
This paper presents an adaptive task migration
threshold schema for dynamic thermal management of multicore
processors to minimize both average and peak temperature
with very low performance overhead. Our proposed algorithm...