SEDEA: A sensible approach to account DRAM energy in multicore systems
Visualitza/Obre
Cita com:
hdl:2117/111523
Tipus de documentText en actes de congrés
Data publicació2017
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
As the energy cost in todays computing systems keeps increasing, measuring the energy becomes crucial in many scenarios. For instance, due to the fact that the operational cost of datacenters largely depends on the energy consumed by the applications executed, end users should be charged for the energy consumed, which requires a fair and consistent energy measuring approach. However, the use of multicore system complicates per-task energy measurement as the increased Thread Level Parallelism (TLP) allows several tasks to run simultaneously sharing resources. Therefore, the energy usage of each task is hard to determine due to interleaved activities and mutual interferences. To this end, Per-Task Energy Metering (PTEM) has been proposed to measure the actual energy of each task based on their resource utilization in a workload. However, the measured energy depends on the interferences from co-running tasks sharing the resources, and thus fails to provide the consistency across executions. Therefore, Sensible Energy Accounting (SEA) has been proposed to deliver an abstraction of the energy consumption based on a particular allocation of resources to a task.In this work we provide a realization of SEA for the DRAM memory system, SEDEA, where we account a task for the DRAM energy it would have consumed when running in isolation with a fraction of the on-chip shared cache. SEDEA is a mechanism to sensibly account for the DRAM energy of a task based on predicting its memory behavior. Our results show that SEDEA provides accurate estimates, yet with low-cost, beating existing per-task energy models, which do not target accounting energy in multicore system. We also provide a use case showing that SEDEA can be used to guide shared cache and memory bank partition schemes to save energy.
CitacióLiu, Q., Moreto, M., Abella, J., Cazorla, F., Valero, M. SEDEA: A sensible approach to account DRAM energy in multicore systems. A: International Symposium on Computer Architecture and High Performance Computing. "29th International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2017: 17-20 October 2017, Campinas, SP, Brazil: proceedings". Campinas: Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 73-80.
ISBN978-1-5090-1233-6
Versió de l'editorhttp://ieeexplore.ieee.org/document/8102180/
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
sedea+a+sensible.pdf | 1,251Mb | Visualitza/Obre |