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Course Details for A.Y. 2018/2019

The information on this page refer to the academic year 2018/2019. Therefore, several links are not available and data may be incomplete. To read the current information on the course, if it is still available, go to the university course catalogue . To read information relating other academic years, use the list at the bottom of this page.

A. Year:

2018/2019

Name:

Parallel Computing / Parallel Computing

Type:

Course

Basic information

Code:

DT0256

Sector:

MAT/08

Credits:

: Master Degree in Mathematical Engineering 6 CFU (c)

Term:

2^nd semester

Degree(s):

Master Degree in Mathematical Engineering 1^st anno curriculum Comune Elective

Language:

English

Teacher(s):

Adriano Festa

Course Objectives

Skills on numerical methods and numerical algorithms with reference to applications to problems of numerical ODE, linear algebra, solving numerical problems in a supercomputer.

Course Content

Linux/Unix OS and tools
HPC architecture
System Scheduler
Message Passing Interface
open MP
GPU computing
Applications:Linear algebra, PDE , ODE.
Basic difference schemes for ODE. The conditions of convergence. Stability and approximation properties of difference schemes.
Numerical differentiation
Numerical integration, numerical Fourier trasform
Difference equations. Stability of solutions
Boundary value problems and their applications to the calculus of variations

Learning Outcomes (Dublin Descriptors)

On successful completion of this course, the student should

Have a deep knowledge of High Performance Computing concepts Be able to apply numerical schemes of solution of ODE / PDE and linear algebra to the parallel programming on CPU/GPU technologies.

Prerequisites and Learning Activities

Basic calculus of differentials of one and many variables, Integration, Basic facts from the theory of ODE, basic linear algebra, basic algebra (polynomials).

Assessment Methods and Criteria

Students individual research projects and a written theoretical exam.

Textbooks

E.Isaacson, H.Keller, Analysis of numerical methods , J.Wiley & sons, New York. 1966.
A. Quarteroni, R. Sacco, F. Saleri, Matematica Numerica , Springer Collana Unitext. 2000.
Rauber, Thomas, Rünger, Gudula, Parallel Programming for Multicore and Cluster Systems , Springer-Verlag. 2013.

Course page updates

This course page is available (with possible updates) also for the following academic years:

To read the current information on this course, if it is still available, go to the university course catalogue .

Course information last updated on: 31 maggio 2019, 16:14

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