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Energy efficiency and parallel I/O performance are two primary constraints in high performance computing (HPC). Large scale computing systems consume vast amounts of energy and require scalable I/O performance to meet the needs of a broad spectrum of data intensive scientific applications. However, little research has provided an in-depth understanding of energy efficiency in parallel I/O subsystems...
Virtual Machine (VM) migration is one of the most common techniques used to alleviate thermal anomalies (i.e., hotspots) in cloud datacenter's servers of by reducing the load and, therefore, decreasing the server utilization. However, there are other techniques such as voltage scaling that also can be applied to reduce the temperature of the servers in datacenters. Because no single technique is the...
With the increase of high performance computing systems' scale, the power consumption of HPC systems greatly increase, among which the power consumption of massive storage system occupies an important role. Measurements and analyses of massive storage system are significant for reducing the power consumption of storage system. Tianhe-1 comes in at No.5 in Nov. 2009 Top500 list with the highest ranking...
In recent years there has been renewal of interest in the relation between Green IT and High Performance Computing. The growing use of supercomputers has caused marked energy burden, putting negative pressure on electricity cost of computing centers. Scientists could foresee that the power consumption of computing facilities will double, triple, or even more in the next decade. Each year more and...
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