2011
DOI: 10.1145/1952998.1952999
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Fine-grained DVFS using on-chip regulators

Abstract: Limit studies on Dynamic Voltage and Frequency Scaling (DVFS) provide apparently contradictory conclusions. On the one end, early limit studies report that DVFS is effective at large timescales (on the order of million(s) of cycles) with large scaling overheads (on the order of tens of microseconds), and they conclude that there is no need for small overhead DVFS at small timescales. Recent work on the other hand -motivated by the surge of on-chip voltage regulator research -explores the potential of fine-grai… Show more

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Cited by 102 publications
(50 citation statements)
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“…We try to solve this problem by relying on the hardware capability of accelerating the subset of cores while staying in the power budget. Dynamic voltage and frequency scaling (DVFS) has been widely used for energy efficiency [1,10]. Moreover, there have been several proposals that use dual power supplies for boosting individual cores [8,24].…”
Section: Core Boostingmentioning
confidence: 99%
See 1 more Smart Citation
“…We try to solve this problem by relying on the hardware capability of accelerating the subset of cores while staying in the power budget. Dynamic voltage and frequency scaling (DVFS) has been widely used for energy efficiency [1,10]. Moreover, there have been several proposals that use dual power supplies for boosting individual cores [8,24].…”
Section: Core Boostingmentioning
confidence: 99%
“…Dynamic voltage and frequency scaling (DVFS) is a widely used technique for dynamic per-core performance adaptation [15,10] and some AMD commercial processors support per-core DVFS [1]. However, off-chip regulator-based DVFS incurs intolerable scaling overheads (tens of microseconds) for our purpose.…”
Section: Dynamic Adaptation Of Core Performancementioning
confidence: 99%
“…A node (server) n contains a set of homogeneous cores C n , referred to as processing elements (PEs), which communicate via an interconnect. Each core is assumed to support DVFS [24]. A platform resource manager controls access of platform resources and coordinates the execution status of jobs submitted by the users, which facilitates efficient management of resources and incoming requests.…”
Section: B Many-core Hpc Platform Modelmentioning
confidence: 99%
“…In case of both the events 1) and 2) or any of them, the algorithm tries to perform resource allocation for the queues job(s) having non-zero values (lines 18-28). However, if event 3) is also detected at the same time, the adaptation is tried first (lines 7-17) followed by the allocation (lines [18][19][20][21][22][23][24][25][26][27][28]. This ensures that the executing jobs are given priority over the queued jobs to be allocated so that value and energy of the executing jobs can be further optimized before doing optimizations for the queued jobs.…”
Section: B Run-time Resource Allocation and Reallocationmentioning
confidence: 99%
“…Sanchez and Kozyrakis, for example, show that fine-grained shared-cache cache partitioning is feasible in a large-scale CMP system [36], yielding greatly improved utilization. Similarly, multiple poweroriented studies [6,15,23] show that fine-grained, per-core DVFS regulation can greatly improve a CMP's energy efficiency. Intel has recently deployed a low-cost, fully-integrated voltage regulator in Haswell [19], and other researchers are making significant advances in supporting per-core DVFS [21,38].…”
Section: Motivation Of Our Approachmentioning
confidence: 99%