What’s New in HPC Research: The Race to Exascale, Reproducibility, TensorFlow & More

In this bimonthly feature, HPCwire highlights newly published research in the HPC community and related domains. From parallel programming to exascale to quantum computing, the details are here.

Charting the race to exascale in Europe

The European Union has been doubling down on its commitment to HPC with initiatives like EuroHPC. In this paper, authors from the Polytechnic University of Catalonia and the Sapienza University of Rome chart this European race toward exascale, covering the politics, the economics, recent events in HPC architecture development, and the European policy initiatives that have been announced.

Authors: Fabrizio Gagliardi, Miquel Moreto, Mauro Olivieri and Mateo Valero.

Using multi-level parallelism on HPC applications hosted on Azure

Cloud computing is an extremely cost efficient way to engage with HPC applications. In this paper, by a team from the Informatics Research Institute in Egypt, the authors evaluate the impact of using multi-level parallelism on intensive parallel tasks hosted on a virtualized HPC cluster. With an eye toward performance cost, they run a set of experiments, concluding that balancing workload between processes and threads per process are key to efficiency.

Authors: Hanan A. Hassan, Mona S. Kashkoush, Mohamed Azab and Walaa M. Sheta.

Read the full list at HPCwire.com.

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