Purpose: The aim of this article is to discuss the impact of static load balancing over a set
of heterogeneous processors, where tasks are independent and unitary in static environments, by
showing how to distribute task in order to optimize both the average response time and the degree of
the resources used.
Methods:
Implementation of a modified scheduling algorithm, the latter is based on two parameters
which are the execution time and the failure probability. The algorithm is based on the results of an
optimal algorithm that already exists, with only one parameter that is execution time.
Results:
The obtained results show that the modified scheduling algorithm gives us the good results.
Conclusion:
The modified algorithm assumes that the processor has smallest execute time. So, the
failure probability increases because of it’s frequently use. The results obtained by testing this proposed
algorithm are better than the optimal algorithm.
Multi-GPU SNN Simulation with Static Load Balancing
