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Description:
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Recently , processor power density has been increasing at an alarming rate result -
ing in high on -chip temperature . Higher temperature increases current leakage and
causes poor reliability . In our research , we ¯rst propose a Predictive Dynamic Ther -
mal Management (PDTM ) based on Application -based Thermal Model (ABTM ) and
Core -based Thermal Model (CBTM ) in the multicore systems . Based on predicted
temperature from ABTM and CBTM , the proposed PDTM can maintain the system
temperature below a desired level by moving the running application from the possi -
ble overheated core to the future coolest core (migration ) and reducing the processor
resources (priority scheduling ) within multicore systems . Furthermore , we present the
Thermal Correlative Thermal Management (TCDTM ) , which incorporates three main
components : Statistical Workload Estimation (SWE ) , Future Temperature Estima -
tion Model (FTEM ) and Temperature -Aware Thread Controller (TATC ) , to model
the thermal correlation e®ect and distinguish the thermal contributions from appli -
cations with di®erent workload behaviors at run time in the CMP systems . The pro -
posed PDTM and TCDTM enable the exploration of the tradeo® between throughput
and fairness in temperature -constrained multicore systems . |