Educational guide
IDENTIFYING DATA							2023_24
Subject	HIGH PERFORMANCE COMPUTING					Code	00715003
Study programme	0715 - MASTER UNIV. INGENIERIA INFORMATICA
Descriptors	Credit.	Type	Year	Period
	4.5	Compulsory	First	First
Language	Castellano
Prerequisites
Department	ING.MECANICA,INFORMAT.AEROESP.
Coordinador	SÁNCHEZ GONZÁLEZ , LIDIA				E-mail	lsang@unileon.es vmato@unileon.es
Lecturers	MATELLÁN OLIVERA , VICENTE SÁNCHEZ GONZÁLEZ , LIDIA
Web	http://agora.unileon.es
General description	This subject comprises basic concepts about parallel applications in order to increase their performance. Topics cover parallel programming techniques and simple exercises. Moreover, some real applications are showed to realize how parallelism achieves a reduction of the execution time or the memory requirements.
Tribunales de Revisión	Tribunal titular Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. PANIZO ALONSO , LUIS Secretario GUERRERO HIGUERAS , ANGEL MANUEL Vocal CONDE GONZALEZ , MIGUEL ANGEL Tribunal suplente Cargo Departamento Profesor Presidente ING.MECANICA,INFORMAT.AEROESP. CASTEJON LIMAS , MANUEL Secretario MATEMATICAS GARCIA SIERRA , JUAN FELIPE Vocal FERNANDEZ ROBLES , LAURA

Competencies

Type A	Code	Competences Specific
	A13257
Type B	Code	Competences Transversal
	B3064
	B3066
	B3080
	B3092
	B3097
Type C	Code	Competences Nuclear

Learning aims

	Competences
Student understands and knows how to apply avanced concepts of high performance computing and numerical/computational methods to engineering problems	A13257	B3092
Student knows to apply his knowledge and solve problems in both new and not very known fields (e.g. multidisciplinar ones) .		B3066
Student knows to learn by his own.		B3064
Student knows to make a decision and solve problems: identifying the causes and analyzing the possible solutions, choosing and evaluating the most accurate one.		B3097
Student knows to apply his knowledge and solve problems in both new and not very known fields (e.g. multidisciplinar ones) and is capable of integrating this knowledge.		B3080

Contents

Topic	Sub-topic
I. Introduction	1. Introduction
II. Parallel architectures	1. Fundamentals 2. Parallel computation 3. High performance computing: supercomputers and clusters 4. Parallel computer modelling
III. Parallel applications	1. Fundamentals 2. Parallel programming models 3. MPI 4. OpenMP 5. Topologies 6. CUDA 7. Other languages
IV. Parallel algoritms	1. Using parallel techniques to increase the performance of actual problems

Planning

Methodologies  ::  Tests
	Class hours	Hours outside the classroom	Total hours
Practicals using information and communication technologies (ICTs) in computer rooms	30	30	60
Field work/trips	2	0	2
Assignments	2	30	32
Lecture	8	7.5	15.5
Practical tests	2	0	2
Objective short-answer tests	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
Practicals using information and communication technologies (ICTs) in computer rooms	Program developing in the lab
Field work/trips	Visit the Caléndula supercomputer
Assignments	It makes possible to evaluate if the students know to make decisions, solve problems, self-learning using HPC
Lecture	Explanations of fundamentals related to grid computing, supercomputing, programming and parallel techniques.

Personalized attention

Practicals using information and communication technologies (ICTs) in computer rooms Lecture

Description Doubts can be solved by email or asking the lecturer

Assessment

	Description	Qualification
Practicals using information and communication technologies (ICTs) in computer rooms	Practical tests of programming applications similar to the ones developed in practical sessions	35%
Assignments	Real applications that solve certain problems have to be developed	50%
Objective short-answer tests	Short-answer tests to evaluate the competencies in HPC	15%
Other comments and second call

Sources of information

Access to Recommended Bibliography in the Catalog ULE

Basic	MPI Forum, Estándar MPI 4.0 , , https://www.mpi-forum.org/mpi-40/ Lidia Sánchez, Apuntes de la asignatura, , F. Almeida, D. Gimenez, Jose Miguel Mantas, A.M. Vidal, Introducción a la programación paralela, Paraninfo Cengage Learning, 2008 Kumar, V., Grama, A., Gupta, A., Karypis G. Benjamin, Introduction to Parallel Computing, Cummings Publishing Company, 2003 http://www.open-mpi.org, Página Oficial de Open MPI, , Michael J. Quinn, Parallel Programming in C with MPI and OpenMP, McGraw-Hill, 2003 John Cheng, Max Grossman, Ty Mckercher, Professional CUDA C Programming, John Wiley & Sons Inc, 2014 Lidia Sánchez, Transparencias de la asignatura, ,
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