SPEED: A parallel platform for solving and predicting the performance of PDEs on distributed systems

Hui, Chi Chung; Hamdi, Mounir; Ahmad, Ishfaq

doi:10.1002/(sici)1096-9128(199609)8:7<537::aid-cpe225>3.0.co;2-x

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Load Balancing On a Data Parallel Platform1

Speed Platform1

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“…An example of migrating integral units of workload (t IYP t IYQ t IYR HXS). mechanism on the data parallel platform called SPEED [10].…”

Section: Load Balancing On a Data Parallel Platformmentioning

confidence: 99%

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Hydrodynamic load balancing

Hui

Chanson

1999

IEEE Trans. Parallel Distrib. Syst.

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AbstractÐThis paper presents a hydrodynamic framework to solving the dynamic load balancing problem in heterogeneous distributed systems. In this approach, each processor is viewed as a liquid cylinder where the cross-sectional area corresponds to the capacity of the processor, the communication links are modeled as liquid channels between the cylinders, the workload is represented by liquid, and the load balancing algorithm manages the flow of the liquid. It is proven that all algorithms under this framework converge geometrically to the state of equilibrium, in which the heights of the liquid columns are the same in all the cylinders. In this way, each processor obtains an amount of workload proportional to its capacity. A hydrodynamic algorithm is presented and its performance is evaluated. The algorithm is applied to solve several practical applications to demonstrate the applicability of the framework.

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“…An example of migrating integral units of workload (t IYP t IYQ t IYR HXS). mechanism on the data parallel platform called SPEED [10].…”

Section: Load Balancing On a Data Parallel Platformmentioning

confidence: 99%

“…The SPEED (Scalable Partial differential Equation Environment on Distributed systems) platform provides a parallel solution to solving time-dependent partial differential equations [10]. The domain is represented by grid points.…”

Section: Speed Platformmentioning

confidence: 99%