PATC: Programming Distributed Computing Platforms with COMPSs

Date: 26/Jan/2021 Time: 09:30 - 27/Jan/2021 Time: 16:30

Place:

The course format (online/face to face) will be announced few months earlier.

 

 

Target group: Level: (All courses are designed for specialists with at least 1st cycle degree or similar background experience) INTERMEDIATE: for trainees with some theoretical and practical knowledge; those who finished the beginners course. ADVANCED: for trainees able to work independently and requiring guidance for solving complex problems.

Cost: There is no registration fee. The attendees would need to cover the expenses for travel, accommodation and meals.  

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Objectives

COMPSs is a programming model which is able to exploit the inherent concurrency of sequential applications and execute them in a transparent manner to the application developer in distributed computing platform. This is achieved by annotating part of the codes as tasks, and building at execution a task-dependence graph based on the actual data used consumed/produced by the tasks. The COMPSs runtime is able to schedule the tasks in the computing nodes and take into account facts like data locality and the different nature of the computing nodes in case of heterogeneous platforms. Additionally, recently COMPSs has been enhanced with the possibility of coordinating Web Services as part of the applications. COMPSs supports Java, C/C++ and Python as programming languages.

Requirements

Prerequisites: Programming skills in Java and Python

Please download and carefully read the following instructions regarding the logistics participants enrolling PATC at BSC are expected to follow.

Learning Outcomes

Learning Outcomes:  In the course, the COMPSs syntax, programming methodology and an overview of the runtime internals will be given. The attendees will get a first lesson about programming with COMPSs that will enable them to start programming with this framework.

A hands-on with simple introductory exercises will be also performed. The students who finish this course will be able to develop simple COMPSs applications and to run them both in a local resource and in a distributed platform (initially in a private cloud).

The exercises will be delivered in Python and Java. In case of Python, Jupyter notebooks will be used in some of the exercises.

Academic Staff

Course Convener:

Rosa M Badia Workflows and Distributed Computing Group Manager, Computer Sciences - Workflows and Distributed Computing Department

Lecturers:

- Rosa M Badia. Workflows and Distributed Computing Group Manager, Computer Sciences - Workflows and Distributed Computing Department

- Javier Conejero, Senior Researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC

- Jorge Ejarque, Researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC

- Daniele Lezzi, Senior Researcher, Computer Sciences - Workflows and Distributed Computing Department, BSC

Materials

Download the slides COMPSs Tutorial

INTELLECTUAL PROPERTY RIGHTS NOTICE:

• The User may only download, make and retain a copy of the materials for his/her use for non‐commercial and research purposes.

• The User may not commercially use the material, unless has been granted prior written consent by the Licensor to
do so; and cannot remove, obscure or modify copyright notices, text acknowledging or other means of identification or disclaimers as they appear.

• For further details, please contact BSC‐CNS patc@bsc.es

Further information

All PATC Courses at BSC do not charge fees.
PLEASE BRING YOUR OWN LAPTOP.

Recommended Accomodation: Please follow the link for map of some local hotels.

CONTACT US for further details about MSc, PhD, Post Doc studies, exchanges and collaboration in education and training with BSC.

For further details about Postgraduate Studies in UPC - Barcelona School of Informatics (FiB), visit the website.

Sponsors:BSC and PRACE 5IP project are funding the PATC @ BSC training events.
If you want to learn more about PRACE Project, visit the website.