Umit Rencuzogullari

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Networks of workstations (NOWs), which are generally composed of autonomous compute elements networked together, are an attractive parallel computing platform since they offer high performance at low cost. The autonomous nature of the environment, however, often results in inefficient utilization due to load imbalances caused by three primary factors: 1)(More)
Emerging system-area networks provide a variety of features that can dramatically reduce network communication overhead. In this paper, we evaluate the impact of such features on the implementation of Software Distributed Shared Memory (SDSM), and on the Cashmere system in particular. Cashmere has been implemented on the Compaq Memory Channel network, which(More)
Cashmere is a software distributed shared memory (S-DSM) system designed for clusters of server-class machines. It is distinguished from most other S-DSM projects by (1) the effective use of fast user-level messaging, as provided by modern system-area networks, and (2) a “two-level” protocol structure that exploits hardware coherence within(More)
Clusters of workstations provide a cost-effective, high performance parallel computing environment. These environments , however, are often shared by multiple users, or may consist of heterogeneous machines. As a result, parallel applications executing in these environments must operate despite unequal computational resources. For maximum performance,(More)
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