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Autoscaling of cloud clusters based on dynamic estimation of workloads is a well-known practice in data center management. However, this practice has not been widely adopted in the multicore processor area due to the lack of a real-time workload classification front end. In this paper, we present a novel methodology for core autoscaling in multicore processors. The methodology is based on the identification...
As power becomes one of the most important re-sources to provision while building modern HPC systems and applications, it becomes crucial to obtain deeper insights into applications' power and thermal characteristics. There exists aneed to correlate application context with processor-level andsystem-level power and thermal measurements. Existing profilingtools to monitor power and thermal measurements...
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