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Main memory in clusters may dominate total system power. The resulting energy consumption increases system operating cost and the heat produced reduces reliability. Emergent memory technology will provide servers with the ability to dynamically turn-on (online) and turn-off (offline) memory devices at runtime. This technology, coupled with slack in memory… (More)
Multiple innovations will be required to navigate the challenging road to developing exascale systems. The stage is set for a global race to design and build the first exascale system within a 20-megawatt (MW) power envelope. Perhaps not since the race to the moon have we seen a worldwide competition of this scale and complexity.
Main memory in many tera-scale systems requires tens of kilowatts of power. The resulting energy consumption increases system cost and the heat produced reduces reliability. Emergent memory technologies will provide systems the ability to dynamically turn-on (online) and turn-off (offline) memory devices at runtime. This technology, coupled with slack in… (More)
Rough set theory is a popular and powerful machine learning tool. It is especially suitable for dealing with information systems that exhibit inconsistencies, i.e. objects that have the same values for the conditional attributes but a different value for the decision attribute. In line with the emerging granular computing paradigm, rough set theory groups… (More)
Total system energy is often dominated by microprocessor power consumption. However, the need for increased memory capacity in high-performance server systems requires integrated support for additional memory devices. Moore's Law implies these devices will achieve higher densities at the expense of power and energy.