Fig. 7
From: PCJ Java library as a solution to integrate HPC, Big Data and Artificial Intelligence workloads
Strong scalability of WordCount application implemented in PCJ and APGAS. \(\hbox {APGAS}_{stat}\) and \(\hbox {APGAS}_{dyn}\) denote original fork-join algorithm and algorithm using lifeline-based global load balancing. C++/MPI results are plotted for reference. Ideal scaling for PCJ and C++/MPI are drawn with the dashed lines. The results are presented for 3.3 MB file and were obtained using Cray XC40 at ICM. The APGAS results were not calculated for a number of nodes greater than 1024 due to long startup time exceeding one hour (which can be attributed to the library’s bootstrapper which—at the time of running the experiments—was not generic enough to offer a fast startup on a range of systems)