BSC Training Course: Programming Distributed Computing Platforms with COMPSs
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 Python, Java, and C/C++ as programming languages.
Requirements
Prerequisites: Programming skills in Python. Java is a plus
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).
Academic Staff
Course Convener:
Rosa M Badia Workflows and Distributed Computing Group Manager, Computer Sciences - Workflows and Distributed Computing Department
Lecturers:
- 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
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• 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
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Sponsor: BSC