Distributed and Parallel Programming

Code:

EIC0069

Acronym:

PDPA

Keywords
Classification	Keyword
OFICIAL	Programming

Instance: 2007/2008 - 2S

Active?	Yes
Responsible unit:	Informatics Section
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
LEIC	0	Plano de estudos de transição para 2006/07	4	6	6	-
MIEIC	5	Syllabus since 2006/2007	4	-	6	-

Teaching language

Portuguese

Objectives

Parallel Programming Module:
Acquisition of useful knowledge to develop parallel programming. Construction of solid basis in parallel architectures, algorithms parallelization, programming models, synchronization of processes and performance measures by the development of programs
and the use of appropriate interfaces for parallel programming.
Introduction to distributed computing in Internet environment. To understand the p2p and Grid computing models of distributed computing.

Program

Parallel Programming Fundamentals: Problem Division, Communication Patterns, Synchronization, Granularity of Parallelization, Staggering (distribution of work by the processors) Multi-computer programming: Introduction to PVM, MPI and OpenMP Characterization of Parallel Computing Execution Models, Programming Models, Computing Models, Efficiency and performance Measures, Expansivity (Isoefficiency Function)
Introduction to distributed computing in Internet environment:
P2P and Grid systems. Application characteristics.
Algorithms for content distribution in p2p systems.
Grid models and middleware evolution.

Mandatory literature

M. J. Quinn; Parallel Programming in C with MPI and OpenMP, McGraw-Hill, 2003. ISBN: 007-123265-6

Complementary Bibliography

Foster, Ian T.; Designing and building parallel programs. ISBN: 0-201-57594-9

Teaching methods and learning activities

Theoretical classes: exposition of the subject matter with presentation and discussion of examples.

Theoretical-practical classes: problem solving and discussion, including the development of some programs.

Evaluation Type

Distributed evaluation with final exam

Calculation formula of final grade

Final Grade= 0.4*Cont + 0.6*Ex
Cont – Homeworks and class participation
Ex – Exame grade