This school has the goal of teaching participating scientists basic parallel programming paradigms and using tools for scientific computing on modern parallel architectures. Through an intensive programme combining lectures and exercises with focus on practical skills, it shall provide a foundation for future computational research using HPC. The ideal candidate is an early career scientist that either will start soon or has already started working on a research project strongly tied to large scale computer simulations and/or large scale data analysis. Providing a referral letter from the PI supervising the project is strongly recommended.
     
Participants will learn fundamental techniques in parallel programming, parallel data processing, parallel machine learning and data analytics. The target is to improve the efficiency of their research workflows, and to parallelize them where possible and meaningful. Lectures are meant to provide an overview and relevant references on the presented topics, while the hands-on sessions will allow participants to practice on small example problems of general scientific interest. The programme specifically addresses the needs of scientists using, writing, or modifying modern workflows for scientific computing.

Main presented topics includes foundation of modern HPC:

Lecturers:
S. DI GIOIA, ICTP, Italy
I. GIROTTO, ICTP, Italy
A. KOHLMEYER, ICTP/Temple University, USA
J.A. LEYVA ROJAS, Pontificia Universidad Javeriana, Colombia
J. MONTOYA, Universidad de Cartagena, Colombia
E. F. POSADA CORREA, Temple University, USA


Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.