Segmented min-min: a static mapping algorithm for meta-tasks on heterogeneous computing systems

Abstract
The min-min algorithm is a simple algorithm. It runs fast and delivers good performance. However, the min-min algorithm schedules small tasks first, resulting in some load imbalance. We present an algorithm which improves the min-min algorithm by scheduling large tasks first. The new algorithm, segmented min-min, balances the load well and demonstrates even better performance in both makespan and running time.

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