A cost-effective heuristic to schedule local and remote memory in cluster computers |
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| Authors: | Mónica Serrano Julio Sahuquillo Salvador Petit Houcine Hassan José Duato |
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| Affiliation: | (1) Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA;(2) Department of Computer Science, College of William and Mary, Williamsburg, VA 23187-8795, USA;(3) Department of Computer Science, Virginia Tech, 660 McBryde Hall, Blacksburg, VA 24061, USA |
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| Abstract: | Cluster computers represent a cost-effective alternative solution to supercomputers. In these systems, it is common to constrain the memory address space of a given processor to the local motherboard. Constraining the system in this way is much cheaper than using a full-fledged shared memory implementation among motherboards. However, memory usage among motherboards can be unfairly balanced. |
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