Abstract
While the energy crisis and the environmental pollution become important global issues, the power consumption researching brings to computer sciences world. In this generation, high speed CPU structures include multi-core CPU have been provided to bring more computational cycles yet efficiently managing power the system needs. Cluster of SMPs and Multi-core CPUs are designed to bring more computational cycles in a sole computing platform, unavoidable extra energy consumption in loading jobs is incurred. Data exchange among nodes is essential and needed during the execution of parallel applications in cluster environments. Popular networking technologies used are Fast Ethernet or Gigabit Ethernet, which are cheaper and much slower when compared to Infiniband or 10G Ethernet. Two questions on data exchange among nodes arise in multi-core CPU cluster environments. The former one is, if data are sent between two nodes, the network latency takes longer than system bus inside of a multi-core CPU, and thus, wait-for-sending data are blocked in cache. And the latter is, if a core keeps in waiting state, the unpredicted waiting time brings to cores higher load. These two situations consume extra power and no additional contribution for increasing overall speed. In this paper, we present a novel approach to tackle the congestion problem and taking into consideration energy in general network environments, by combining hardware power saving function, maintaining the transmission unchanged while saving more energy than any general and previous cases.
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