The 2nd International Workshop on Scalable Data Analytics in Scientific Computing (SDASC) 2020ΒΆ

With increasing importance of statistical inference methods and their use at large cloud and warehouse-scale computing facilities, we will host the second edition of the workshop called Scalable Data Analytics in Scientific Computing (SDASC). It will feature automated data analysis efforts and the convergence of computational science, HPC, and large-scale data analytics and/or inference. The workshop will focus on integration of the HPC techniques, statistical learning, and related data manipulation into modern computational software stack.

This half-day workshop will gather experts from the computational science, HPC, and machine learning. The committee members are recognized in their respective fields as experts of note and will assure fulfilment of the goals of the workshop outlined below.

This workshop will complement the other events artificial intelligence, machine learning, and data analytics taking place at ISC 2020.

Finally, the workshop aims to establish a forum of discourse and exchange of ideas about current practices for integration of HPC and data analytics. The outcomes will include discussion about contemporary methods and implementation techniques that unify modern statistical inference, latest software stacks for machine learning deployed on supercomputing machines with hardware accelerators.

Past editions of the workshop:

[ 2019 ]