Scheda programma d'esame
PARALLEL SCIENTIFIC COMPUTING
(HIGH PERFORMANCE SCIENTIFIC COMPUTING )
LUCA GEMIGNANI
Anno accademico2017/18
CdSINFORMATICA E NETWORKING
Codice571AA
CFU6
PeriodoPrimo semestre
LinguaInglese

ModuliSettoreTipoOreDocente/i
CALCOLO SCIENTIFICO AD ALTE PRESTAZIONIMAT/08LEZIONI48
LUCA GEMIGNANI unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge

The objective of this  course is to provide theoretical and practical knowledge
in parallel numerical algorithms, especially in the context of grid computing
and with the specificity of asynchronism.      Topics will include:

  1. General notions on sequential iterative algorithms and their applications to numerical problems.
  2. Parallel synchronous iterative algorithms for numerical computation both  in linear and nonlinear cases.
  3. Asynchronous  versions of  parallel iterative algorithms.
  4. Applications.

 

Assessment criteria of knowledge

Methods:

  • Final oral exam

Course work will  include literature research and presentation in related topics. In the final oral presentation  the student must demonstrate the ability to approach a circumscribed research problem, and organise an effective exposition of theretical and computational results.

 

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • participation in seminar
  • individual study
  • Bibliography search

Attendance: Not mandatory

Teaching methods:

  • Lectures
  • Seminar
Syllabus
  1. Iterative Algorithms
  2. Iterative Algorithms and Applications to Numerical Problems
  3. Synchronous Iterations
  4. Asynchronous Iterations
Bibliography

Recommended reading includes published material distributed by the teacher.

Ultimo aggiornamento 13/07/2017 15:15