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Estimation of the minimum time

Discussion in 'C' started by Karpov2007, Apr 7, 2009.

  1. Karpov2007

    Karpov2007 Banned

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    Andrey Karpov. Estimation of the minimum time of executing tasks at optimal distribution of load among processors.

    Abstract. The article briefly concerns methods of estimating the minimum time of executing tasks at optimal distribution of load among processors. The given methods can be used both for homogeneous and heterogeneous computer systems.

    Introduction
    Despite great computational power of modern computers there are tasks solution of which in sequential mode takes much time. The time for solving such tasks can be greatly reduced by using abilities of modern multi-core processors for calculations. In order to fully use the advantages provided by these processors it is necessary to improve algorithms of solving tasks taking into consideration the possibility of parallel data processing performed by several processors simultaneously. It is also important to distribute calculations in such a way that each processor be used most fully and the total time of solving a task tend to minimum. The article gives a review of the methods of estimating the minimum time of executing tasks at their optimal distribution among computational nodes. Situations are taken into account when several parallel tasks are executed on one system taking some resources of computational nodes. In this case the system is considered heterogeneous (anisotropic) in relation to the program we’re interested in.

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  2. SaswatPadhi

    SaswatPadhi ~ Б0ЯИ Τ0 С0δЭ ~

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    Links in post !:surprised

    I think that's not allowed:confused:!?!
     
  3. shabbir

    shabbir Administrator Staff Member

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    Its not the case. Links are allowed but no self promotion is allowed in posts. You can use the signatures for self promotion
     
  4. SaswatPadhi

    SaswatPadhi ~ Б0ЯИ Τ0 С0δЭ ~

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    Opps! :eek: Thanx for the clarification. :)
     
  5. shabbir

    shabbir Administrator Staff Member

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    The pleasure is all mine.
     

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