Simple, List-Based Parallel Programming with Transparent Load Balancing

  • Jorge Buenabad-Chávez
  • Miguel A. Castro-García
  • Graciela Román-Alonso
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3911)


We present a data-list management library that both simplifies parallel programming and balances the workload transparently to the programmer. We present its use with an application that dynamically generates data, such as those based on searching trees. Under these applications, processing data can unpredictably generate new data to process. Without load balancing, these applications are most likely to imbalance the workload across processing nodes resulting in poor performance. We present experimental results on the performance of our library using a Linux PC cluster.


Parallel Programming Master Node Processing Node Data List Dynamic Load Balance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jorge Buenabad-Chávez
    • 1
  • Miguel A. Castro-García
    • 1
    • 2
  • Graciela Román-Alonso
    • 2
  1. 1.Sección de ComputaciónCentro de Investigación y de Estudios Avanzados del IPNMéxico
  2. 2.Departamento de Ing. EléctricaUniversidad Autónoma Metropolitana, Izt.México

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