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Extra resources for Distributed And Parallel Systems - Cluster & Grid Computing

Example text

The described approach focuses on providing a specific scheduler for each application, thus taking into account the application specific requirements. In contrast to this method [6] describes a scheduling approach which is decoupled from the application to be executed. This is achieved by using a performance model of the job to be scheduled. The scheduling within Nimrod/G [3] focuses on running parameter studies on the grid. It aims at providing economy based resource trading and offers different scheduling strategies like time minimization, cost minimization, and no minimization, which means that the task is scheduled for execution within the given cost and time constraints.

Implementation. In the parallel implementation for processors, the problem size is divided into parts, and each processor computes its partial sum. Finally, all the partial sums are accumulated on one processor. Message Passing vs. Virtual Shared Memory, a Performance Comparison 43 Benchmark 2: Tree Structured Matrix Multiplications The second benchmark is a sequence of matrix multiplications, structured in the form of a binary tree. Given a problem size each processor involved generates two random matrices and multiplies them.

This DFG usually contains experiment specific software entities as well as generic software entities. We will call these self-contained software entities as modules. 3. Resource management in VL-E One of the focuses of our research is the development of a resource management system for the VL-E environment. In this context, applications are presented by a set of connected by data flow independent modules that perform calculations and data processing, access data storage or control remote devices.

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