NDLI: An Online Overclocking Scheme for Bursty Real-time Tasks and an Evaluation of its Thermal Impact

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An Online Overclocking Scheme for Bursty Real-time Tasks and an Evaluation of its Thermal Impact

An Online Overclocking Scheme for Bursty Real-time Tasks and an Evaluation of its Thermal Impact

Content Provider	ACM Digital Library
Author	Lampka, Kai Forsberg, Björn Spiliopoulos, Vasileios
Abstract	This paper proposes a scheme which drives a processor beyond its rated operation frequency, e. g., by exploiting Intel's boost technology, to digest the peak workload of the system in time. In the setting of deadline constrained workloads, this is far from trivial: the boost mode can only be used during short time spans, therefore it can only help to digest the peak workload, rather than serving the normal case. A lowered processor frequency, used outside the peak workload time, yields a backlog of not completed jobs. This backlog may result in deadline violations or buffer overflows, if the next burst of job arrivals appears too early. To overcome the above problem, we propose a peak workload aware speed assignment strategy, which only allows the system to build up computation backlog if the absence of high computation demands is assured. Contrasting the existing body of work, we take advantage of bursty arrival patterns of compute jobs, thereby progressing over the standard (non-bursty sporadic) job release model. Together with our scheme, we also present a tool chain and simulations of synthetic workloads for investigating the thermal effects of different speed assignment strategies.
Starting Page	104
Ending Page	113
Page Count	10
File Format	PDF
ISBN	9781450345439
DOI	10.1145/2993452.2993568
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-10-01
Publisher Place	New York
Access Restriction	Subscribed
Content Type	Text
Resource Type	Article

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