FastCap: An Efficient and Fair Algorithm for Power Capping in Many-Core Systems
| Autor: | Guilherme Cox, Yanpei Liu, Ricardo Bianchini, Qingyuan Deng, Stark C. Draper |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
FOS: Computer and information sciences
010302 applied physics Power management Queueing theory Optimization problem CPU power dissipation Computer Science - Performance Computer science Distributed computing 02 engineering and technology Parallel computing 01 natural sciences Power budget 020202 computer hardware & architecture Performance (cs.PF) Memory management Server 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Frequency scaling Algorithm |
| Zdroj: | ISPASS |
| Popis: | Future servers will incorporate many active lowpower modes for different system components, such as cores and memory. Though these modes provide flexibility for power management via Dynamic Voltage and Frequency Scaling (DVFS), they must be operated in a coordinated manner. Such coordinated control creates a combinatorial space of possible power mode configurations. Given the rapid growth of the number of cores, it is becoming increasingly challenging to quickly select the configuration that maximizes the performance under a given power budget. Prior power capping techniques do not scale well to large numbers of cores, and none of those works has considered memory DVFS. In this paper, we present FastCap, our optimization approach for system-wide power capping, using both CPU and memory DVFS. Based on a queuing model, FastCap formulates power capping as a non-linear optimization problem where we seek to maximize the system performance under a power budget, while promoting fairness across applications. Our FastCap algorithm solves the optimization online and efficiently (low complexity on the number of cores), using a small set of performance counters as input. To evaluate FastCap, we simulate it for a many-core server running different types of workloads. Our results show that FastCap caps power draw accurately, while producing better application performance and fairness than many existing CPU power capping methods (even after they are extended to use of memory DVFS as well). Accepted by ISPASS 2016 |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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