Are your scientific applications ready for evolving HPC systems?

Prof. Sunita Chandrasekaran, Ph.D., University of Delaware, Newark, USA

25 Jun 2019, 15:30–17:00; Location: S4|10-1

This talk will present interdisciplinary research that entails the applicability of computer science tools and techniques on real-world scientific applications spanning nuclear physics, molecular dynamics, next-generation sequencing and magnetohydrodynamics (the study of the Sun). As architectures evolve, it is only becoming increasingly challenging for such real-world scientific applications to exploit the rich resources of these complex hardware architectures. To that end, this talk will present the above case studies and share solutions that include using directive-based programming models, compiler and runtime strategies in order to migrate these applications to high-performance computing nodes.



Sunita Chandrasekaran is currently an Assistant Professor at the University of Delaware in the Dept. of Computer & Information Sciences. She is also affiliated with the Data Science Institute at UD. Her area of research is quite interdisciplinary and spans High-Performance Computing, Computer Architecture, Parallel Programming. She received the 2016 IEEE-CS TCHPC Award for Excellence for Early Career Researchers in High-Performance Computing. She hosts parallel computing workshops co-located with SC, IPDPS and ISC, serves on numerous technical program committees and has chaired technical tracks at SC, PASC, IPDPS, CCGrid, and ISC.

Category: CE Seminar


Technische Universität Darmstadt

Graduate School CE
Dolivostraße 15
D-64293 Darmstadt

Phone+49 6151/16-24401
Fax -24404

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