Towards the Reproduction of Selected Dynamic Loop Scheduling Experiments Using SimGrid-SimDag

Modern computing architectures exhibit increasing parallelism. Therefore, dynamic loop scheduling (DLS) plays an increasing role in the performance optimization of parallel applications executing on the modern computing architectures. In the previous decades, there was a large body of research concerning DLS techniques. Reproduction of the DLS experiments is significant for ensuring the trustworthiness of the DLS techniques implementation in modern scheduling tools or within new scientific applications. The results of executing the implemented DLS techniques are expected to be in agreement with the results reported in earlier work. The present work is a step towards the reproduction of the experiments that introduced the well-known DLS technique named factoring (FAC). Studying scheduling techniques via simulation is favorable compared to native execution to have control over all the factors that may affect the performance. The use of simulation in this work is essential for the reproduction of the scheduling experiments performed on computing systems that no longer exist. This work shows that the self scheduling technique with matrix multiplication kernel has a significantly poorer performance on the modern system considered in this study than on the past system.