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Advisor(s)
Abstract(s)
Heterogeneous multicore platforms have become anattractive choice to deploy mixed criticality systems
demandingdiverse computational requirements. One of the major challengesis to efficiently harness the
computational power of these multicore platforms while deploying mixed criticality applications.The problem is
acerbated with an additional demand of energyefficiency. It is particularly relevant for the battery
poweredembedded systems. We propose a partitioning algorithm forunrelated heterogeneous multicore platforms
to map mixedcriticality applications that ensures the timeliness property andreduces the energy consumption.
Description
Presented at Work in Progress Session, IEEE Real-Time Systems Symposium (RTSS 2015). 1 to 4, Dec, 2015. San Antonio, U.S.A..
