Lecture Series of the Research Center HPC

Is ZettaScale Computing possible
before Exascale Platforms?

by Shantenu Jha, Rutgers University

We outline the vision of “Learning Everywhere” which captures the possibility and impact of learning methods coupled to traditional HPC methods. We discuss (i) the potential promise of the effective performance improvements for traditional HPC simulations that ML for HPC (MLforHPC) provides; (ii) identify and survey recent problems that have either been directly impacted or could benefit from MLforHPC, and (iii) Provide a taxonomy of the modes and methods by which MLforHPC can impact computational science. We identify three MLforHPC scenarios: MLinHPC, MLoutHPC and MLaroundHPC. We will discuss how learning methods and HPC simulations are being integrated, and provide representative examples. We will discuss specific applications and software systems developed for ML driven MD simulations. We also identify a spectrum of challenges and requirements to deliver on the potential impact and stress that it requires both new cyberinfrastructure and new application developments; large gains are not seen by just optimizing the environment. 

Shantenu Jha is the Chair of the Computation and Data Driven Discovery (C3D) Department at Brookhaven National Laboratory and Associate Professor of Computer Engineering at Rutgers University. His research interests are at the intersection of high-performance distributed computing and computational & data science. Shantenu leads the the RADICAL-Cybertools project which are a suite of middleware building blocks used to support large-scale science and engineering applications. He was appointed a Rutgers Chancellor's Scholar (2015) and was the recipient of the inaugural Chancellor’s Excellence in Research (2016) for his cyberinfrastructure contributions to computational science. He is a recipient of the NSF CAREER Award (2013), several prizes at SC’xy and ISC’xy as well as the winner of SCALE 2018. More details can be found at http://radical.rutgers.edu/shantenu


Thursday, February 27, 2020, 12:00
Technik Campus, SR 1, ICT Building ground floor,
Technikerstrasse 21a, 6020 Innsbruck


Please confirm your attendance until February 24th 2020 at https://www.uibk.ac.at/fz-hpc/events/registration.

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