Recently, energy has become an important issue in highperformance computing. For example, supercomputers that have energy in mind, such as BlueGene/L, have been built; the idea is...
Vincent W. Freeh, Feng Pan, Nandini Kappiah, David...
Left unchecked, the fundamental drive to increase peak performance using tens of thousands of power hungry components will lead to intolerable operating costs and failure rates. R...
Previous work on task scheduling mechanisms assumed that the agent’s goal is to maximize its own profit without considering the effect of its strategy on the other agents’ pr...
The Chained Lin-Kernighan algorithm (CLK) is one of the best heuristics to solve Traveling Salesman Problems (TSP). In this paper a distributed algorithm is proposed, were nodes i...
Modern internet and telephone switches consist of numerous VLSI-circuits operating at high frequencies to handle high bandwidths. It is beyond question that such systems must cont...
We develop a message scheduling scheme that can theoretically achieve the maximum throughput for all–to–all personalized communication (AAPC) on any given Ethernet switched cl...
Buffered CoScheduled (BCS) MPI is a novel implementation of MPI based on global synchronization of all system activities. BCS-MPI imposes a model where all processes and their com...
As technological process shrinks and clock rate increases, instruction caches can no longer be accessed in one cycle. Alternatives are implementing smaller caches (with higher mis...
Power consumption is a troublesome design constraint for emergent systems such as IBM’s BlueGene /L. If current trends continue, future petaflop systems will require 100 megawat...
Scalability of clusters and MPPs is typically discussed in terms of limits on growth: something which grows at a rate of O(log p) (where p is the number of processors) is said to ...