Identifying Data

2019/20

Subject (*)

High Performance Infrastructures

Code

614973104

Study programme

Mestrado Universitario en Computación de Altas Prestacións / High Performance Computing (Mod. Virtual)

Descriptors

Cycle

Period

Year

Type

Credits

Official Master's Degree

1st four-month period

First

Obligatory

Language

English

Teaching method

Face-to-face

Prerequisites

Department

Departamento profesorado máster
Enxeñaría de Computadores

Coordinador

Rodriguez Osorio, Roberto

E-mail

roberto.osorio@udc.es

Lecturers

Rey Expósito, Roberto

Rodriguez Osorio, Roberto

E-mail

roberto.rey.exposito@udc.es

roberto.osorio@udc.es

Web

http://aula.cesga.es

General description

O obxectivo desta materia é proporcionar ao alumno o coñecemento dos compoñentes dunha infraestrutura actual para a computación e altas prestacións, de como funcionan en conxunto e de como administralos.
O alumno debe ser capaz de deseñar e administrar infraestruturas de altas prestacións tendo en conta a análise das necesidades presentes e a súa posible evolución futura, así coma os requisitos para plantexar un proxecto de deseño de infraestrutura no que se deben ter en conta tanto o hardware, coma o software e as infraestruturas de soporte. Isto incluirá a parte computacional, o almacenamento de datos, a infraestrutura de comunicacións, e a monitorización do sistema.

Study programme competencies

Code	Study programme competences
A2	CE2 - Analyze and improve the performance of a given architecture or software
A3	CE3 - Know the high performance computing basic concepts
A6	CE6 - Know the available tools for the distributed systems computing
B1	CB6 - Possess and understand the knowledge that give a baseline or opportunity to be original in the development and/or application of ideas, often in a research environment
B2	CB7 - The students have to know how to apply the acquired knowledge and their capacity to solve problems in new or hardly explored environment inside wider contexts (or multidiscipinary) related to its area of development
B4	CB9 - The students have to be able to communicate their conclusions, their knowledge and the reasons that hold them to specialized and non specialized audience in a clear and unambiguous manner
B5	CB10 - The students have to possess learning skills that allows them to continue to study in a mainly self-driven or autonomous manner
B6	CG1 - Be able to search and select useful information to solve complex problems, using the bibliographic sources of the field
B7	CG2 - Elaborate adqueately and originally written essays or motivated reasonings, write planings, work projects, scientific papers and formulate reasonable hypothesis
B8	CG3 - Be able to maintain and extend properly funded theoretical hypothesis to allow the introduction and exploitation of novel and advanced technologies in the field
B10	CG5 - Be able to work in teams, specially multidisciplinary, and do a proper time and people management and decision taking
B11	CG6 - Be able to understand and express in english, both written and spoken, information, ideas, knowledge, problems and solutions in the HPC environment
C1	CT1 - Use the basic technologies of the information and computing technology field required for the professional development and the long-life learning
C2	CT2 - Estimulate the capacity to work in transdisciplinary and interdisciplinary teams to offer proposals that contribute to the contribute to the economical, social and political sustainable development
C4	CT4 - Value the importance of research, innovation and the technological development in the socioeconomical and cultural advance of the society

Learning aims

Learning outcomes	Study programme competences
Analyze and improve the performance of a given architecture or software	AJ2	BJ5 BJ6	CJ1
Know the concepts and basic techniques of high performance computing	AJ3	BJ1 BJ2 BJ4 BJ7 BJ11	CJ4
Know the technologies and tools available for computing in distributed systems over a network	AJ6	BJ8 BJ10	CJ2

Contents

Topic	Sub-topic
Support infrastructure for high performance computing	Server technology Data center infrastructure Server virtualization
Storage technology	Storage devicces Storage networks Backup and data recovery
Design and administration of clusters for high performance computing	Introduction to computer clusters Deployment, configuration and administration of clusters Monitoring and optimization of clusters

Planning

Methodologies / tests	Competencies	Ordinary class hours	Student’s personal work hours	Total hours
Laboratory practice	A2 B2 B10 C1 C2	0	70	70
Document analysis	B5 B6 B7 B8 B11	0	22	22
Supervised projects	A3 A6 B1 B4 C4	0	57	57

Personalized attention		1	0	1

(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies

Methodologies	Description
Laboratory practice	Problem solving and practical cases in the computer room, which allow the student to become familiar from a practical point of view with the issues exposed in the lectures.
Document analysis	Study of the notes, books and references on the internet that are available to the student
Supervised projects	Assignments will be proposed consisting of gathering and analyzing information related to the lectures and the skill acquired during the labs.

Personalized attention

Methodologies

Laboratory practice

Supervised projects

Description

During the labs, a professor will assist the students by introducing the task, helping in the first stages, and solving doubts during the development of the tasks.

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Students may consult professors during the development of supervised projects.

Assessment

Methodologies	Competencies	Description	Qualification
Laboratory practice	A2 B2 B10 C1 C2	The quality of the work developed inside and outside the lab will be valued.	50
Supervised projects	A3 A6 B1 B4 C4	The quality of the deliverables will be values, taking into account the degree of help that the student may have needed.	50

Assessment comments
In order to pass the subject, it is required to achieve at least 50% of the total qualification Itis also required to obtain at least 50% of the maximum qualification in each of the parts (labs and projects) It is not possible to present the results of laboratory practices after the first written test. Students using the second opportunity will be evaluated according to the practices presented before the first test, and the supervised projects presented between the first and the second opportunities. No special consideration is made with respect to part-time students.

Sources of information

Basic
	R. Rosen. Linux Kernel Networking. Implementation and Theory. 2014 Tom Shanley. InfiniBand Network Architecture. 2002 Matthew Portnoy. Virtualization Essentials, 2nd Edition. 2016 Kailash Jayaswal. Administering Data Centers: Servers, Storage, and Voice over IP. 2005 Ulf Troppens & Rainer Erkens & Wolfgang Müller. Storage Networks Explained: Basics and Application of Fibre Channel SAN, NAS, iSCSI, InfiniBand and FCoE. 2009 E. Nemeth & G. Zinder & T.R. Hein. Linux Administration Handbook. 2006 Sam Alapati. Modern Linux Administration: How to Become a Cutting-Edge Linux Administrator. O'Reilly. 2016 T. Sterling, M. Anderson, M. Brodowicz. High performance computing: modern systems and practices. Morgan Kaufmann. 2017
Complementary
	Barb Goldworm & Anne Skamarock. Blade Servers and Virtualization: Transforming Enterprise Computing While Cutting Costs. 2007 W. Curtis Preston. Backup & Recovery: Inexpensive Backup Solutions for Open Systems. 2007 Tom Clark. Designing Storage Area Networks: A Practical Reference for Implementing Fibre Channel and IP SANs (2nd Edition). 2003 Cougias & Heiberger & Koop. The Backup Book: Disaster Recovery from Desktop to Data Center 3rd Edition. 2003 Links to Internet resources that professors will communicate during the course, provided that they may change frequently.

Recommendations

Subjects that it is recommended to have taken before

Subjects that are recommended to be taken simultaneously

HPC on the Cloud/614473106

Subjects that continue the syllabus

Other comments

(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.