This paper investigates in detail the performance of several TreadMarks-based shared-memory applications on a modern network of workstations.
Predicting the performance of distributed virtual shared-memory applications by E. W. Parsons M. Brorsson K. C. Sevcik The use of networks of workstations ...
One potentially attractive way to build large-scale shared-memory machines is to use small-scale to medium-scale shared-memory.
In this paper, we develop a Support Vector Regression (SVR) model for predicting the performance measures (ie average network latency, average channel waiting ...
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Simulation is used to study the behavior of this class of servers and investigate their effect on high performance distributed computations. This work ...
Shared virtual memory machines combine the merits of both the distributed-memory machines and the shared-memory communication model. They are scalable and ...
Brorsson and K. C. Sevcik, Predicting the Performance of Distributed Virtual Shared Memory. Applications, IBM Systems Journal, Volume 36, No. 4, 1997, pp ...
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Software Distributed Shared Memory (S-DSM) systems support parallel programming by implementing a shared memory on top of distributed system.
Abstract. Porting scientific applications to parallel machines is one of the major challenges for scientists and computing.
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This paper describes a checkpointing mechanism destined for Distributed Shared Memory (DSM) systems with speculative prefetching. Speculation is a general ...