Title
PCOUNT: A power aware fetch policy in Simultaneous Multithreading processors
Abstract
The Simultaneous Multithreading (SMT) architecture improves the resource efficiency via scheduling and executing concurrent threads in the same core. Moreover, fetch policies are proposed to assign priorities in the fetch stage to manage the shared resources. However, power consumption study is omitted in most fetch policies. On the other hand, the power management schemes nowadays are focused on multicore processors. Given the growing demands to manage the power consumption of processors and the fully shared system resources in SMT environment, it requires detailed research to develop the power management in an SMT processor. This paper proposes a power aware fetch policy PCOUNT, which evaluates the power consumption for two categories in SMT: computation resources and memory accessing resources. PCOUNT fetches from the thread with lowest evaluated power consumption in every CPU cycle, in order to reduce overall power consumption. Furthermore, this paper justifies studied fetch polices using power efficiency, which is calculated as evaluated power consumption per unit system throughput. As a result, PCOUNT improves power efficiency over ICOUNT by 26% and over DWarn by 31% on average. Meanwhile, PCOUNT is able to achieve better overall system throughput and average thread improvement than ICOUNT and DWarn.
Year
DOI
Venue
2011
10.1109/IGCC.2011.6008578
IGCC
Keywords
Field
DocType
power management,power efficiency,power management scheme,overall system throughput,power consumption,smt environment,policy pcount,overall power consumption,smt processor,power consumption study,throughput,simultaneous multithreading,pipelines,instruction sets,multi threading,multicore processor,resource allocation,cpu cycle,multicore processing,concurrent engineering,multi core processor
Power management,Multithreading,Computer architecture,Per-unit system,Scheduling (computing),Computer science,Simultaneous multithreading,Resource allocation,Fetch,Multi-core processor,Embedded system
Conference
Citations 
PageRank 
References 
1
0.35
7
Authors
3
Name
Order
Citations
PageRank
Lichen Weng1112.06
Gang Quan294566.11
Chen Liu310.35