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A. Pathania, K. Khdr, M. Shafique, T. Mitra, J. Henkel:
"QoS-Aware Stochastic Power Management for Many-Cores";
Vortrag: 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC), San Fransisco, USA; 24.06.2018 - 28.06.2018; in: "2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)", (2018), ISSN: 0738-100x; S. 1 - 6.

A many-core processor can execute hundreds of multi-threaded tasks in parallel on its 100s - 1000s of processing cores. When deployed in a Quality of Service (QoS)-based system, the many-core must execute a task at a target QoS. The amount of processing required by the task for the QoS varies over the task's lifetime. Accordingly, Dynamic Voltage and Frequency Scaling (DVFS) allows the many-core to deliver precise amount of processing required to meet the task QoS guarantee while conserving power. Still, a global control is necessitated to ensure that the many-core overall does not exceed its power budget.Previously, only non-stochastic controls have been proposed for the problem of QoS-aware power budgeting in many-cores. We propose the first stochastic control for the problem, which has a computational complexity less than the non-stochastic control by a factor of O (ln n) but with equivalent performance. The proposed stochastic control can operate with 6.4× less overhead than the non-stochastic control for a 256-task workload.

Many-Core, Power Budgeting, Probabilistic Control

http://dx.doi.org/10.1109/DAC.2018.8465916