We are organizing the third edition of the UCM Summer Course on Grid Technology in July 2007. The 100-hour course includes the following topics:

- Introduction to Grid Computing

- Globus Toolkit 4. Web Service Resource Framework

- Globus Toolkit 4. Installation & Configuration

- Globus Toolkit 4. Programming

- Globus Toolkit 4. Development of Applications

Following the rules of the UCM Summer School, the course will be given in Spanish. You can find more information at http://asds.dacya.ucm.es/cursogrid.php. There are many grants available (http://www.ucm.es/info/fgu/escuelas/verano/ayudas.html).

The M.S. Program is designed to provide advanced study opportunities for individuals who:

• Hold a bachelors degree in Computer Science and would like to advance their technical knowledge in the field and /or learn about research in Computer Science.
• Hold a bachelors degree in another field and want to make a career transition to the computing field.
• Currently work in the computing field and wish to obtain a graduate degree for career advancement.

The M.S. program consists of 36 hours and can be completed in four semesters by students entering with no background deficiencies. Thesis and non-thesis options are available. The M.S. student also has the option to add a specialization, in one of four different areas.

Students may transfer in up to 12 credit hours of approved courses. Approval for these courses is granted after acceptance. All UAB 500-level and 600-level courses are transferable.

A well-prepared student taking a full load (9 credit hours per semester) can complete this program in 4 semesters. There is no foreign language requirement.

All M.S. students must take 36 credit hours in order to graduate. The program is defined in terms of either of two Plans:

Plan I: Thirty (30) credit hours of CS courses and Thesis (6 hours)
Plan II: Thirty-six (36) credit hours of CS courses

Most students choose the Plan II option. Plan I requires a significant research component, which requires that the student be working closely with a faculty member on a research project.

Plan II students have the option to complete a specialization as part of their coursework (see below).

The Faculty of Computer Science at the University of Vienna offers many courses in Computer Science and Scientific Computing. Please refer to their website for a full list.

TACC offers various training classes in high performance computing (HPC), scientific visualization (SciVis), distributed and grid computing (DGC), and computational cluster management. TACC training classes teach the programming principles and techniques in HPC and SciVis as well as how to use TACC's high-end systems most effectively. A cluster workshop is also taught, providing students with an opportunity to build a cluster from scratch. Therefore, much of the content in TACC training classes is useful for users using TACC resources as well as their own local systems (e.g. clusters and graphics workstations/PCs).

TACC training classes are free to the UT Austin and UT System research communities, participants in the NSF funded TeraGrid project, members of the TACC International Partnership in Advanced Computing (IPAC) program, individuals and groups that engage in collaborative research and development activities with TACC, and other public sector organizations. Most levels of the TACC industrial affiliates program, Science and Technology Affiliates for Research (STAR), provide access to all TACC training activities. TACC training classes are also available for a fee to interested persons who are part of the private sector.

Description:

Il progetto del corso consiste nel setup e nell'utilizzo di un sito locale nella griglia computazionale Gilda per il calcolo scientifico distribuito ad alte prestazioni. L'obiettivo finale e' la scrittura e' la sottomissione nella Grid di Gilda di un programma MPI che fattorizza un numero n prodotto di due numeri primi.

 

Notes: The official language for the course is Italian

Description: 

Il Corso e' dedicato agli studenti di Corso di Laurea e di Dottorato di Ricerca (ma e' aperto a chiunque sia interessato a seguirlo) ed ha lo scopo di introdurre all'uso di una griglia computazionale quale piattaforma di calcolo e di storage per applicazioni scientifiche, siano esse sequenziali o parallele, batch o interattive.

 Notes: The Italian is the official language for the course 

El campo de la Computación y Comunicación de Altas Prestaciones y sus aplicaciones se ha convertido en uno de los más dinámicos en el mundo de la Informática, y ha sido reconocido como un campo prioritario tanto en los distintos programas marco de la Comunidad Europea como en los programas de financiación de la investigación en España.

Las redes de computadores se han abaratado y extendido y su utilización eficiente es hoy día un objetivo crucial tanto para el mundo de la investigación como en cualquier campo de la industria y de la sociedad.

La disciplina que cubre este campo, la Computación Paralela, Distribuida y en Grid está actualmente muy consolidada, con una carga de conocimientos intrínsecos muy relevantes. Las aplicaciones de esta disciplina son muy numerosas y pueden encontrarse prácticamente en cualquier campo de la Ingeniería y de la Industria.

El campo de la Computación y Comunicación de Altas Prestaciones y sus aplicaciones se ha convertido en uno de los más dinámicos en el mundo de la Informática, y ha sido reconocido como un campo prioritario tanto en los distintos programas marco de la Comunidad Europea como en los programas de financiación de la investigación en España.

Las redes de computadores se han abaratado y extendido y su utilización eficiente es hoy día un objetivo crucial tanto para el mundo de la investigación como en cualquier campo de la industria y de la sociedad.

La disciplina que cubre este campo, la Computación Paralela, Distribuida y en Grid está actualmente muy consolidada, con una carga de conocimientos intrínsecos muy relevantes. Las aplicaciones de esta disciplina son muy numerosas y pueden encontrarse prácticamente en cualquier campo de la Ingeniería y de la Industria.

Structure

The Grid Computing and E-Engineering option  of the Computational and Software Techniques in Engineering MSc course consists of three parts: core modules, specialist modules and individual research thesis.

Core modules

Students begin by following a set of five core modules:

• C Programming
• Management for Technology
• Computational Methods
• Computer Graphics/GUIs
• Object Oriented Programming in C++

Specialist Modules

• Fundamentals of Grid Computing and e-Engineering
• Grid Middleware
• Grid Development and e-Engineering Applications (group project)
• High-performance Scientific Computing on the Grid
• Visualisation
• Software Engineering
• Computational Methods

Research Project

With the experience and knowledge gained within the lectures, students are equipped for the MSc research thesis.

Assessment

The course is assessed through coursework assignments, examination, and individual research project.

Part-time Study

This course is also available on a part-time basis for individuals who wish to study  whilst remaining in full-time employment. A three-stage programme from a Postgraduate Certificate to Postgraduate Diploma through to a Master of Science enables you to take a flexible approach to your study commitments.

Cranfield is very well located for visiting part-time students from across the UK and Europe and offers a range of library and support facilities to support your studies.

The core of the programme is the following set of mandatory courses:

• Semester 1:
  • Distributed Computing for e-Science 1
  • Software Engineering with Objects and Components
  • Introduction to Scientific Data
  • Programming for e-Science
• Semester 2:
  • Distributed Computing for e-Science 2
  • Software Architecture, Process and Management
  • Topics in e-Science
  • Project Preparation (e-Science)

Students also take four optional courses, drawn from a large pool, which enables them to tailor their personal curriculum to their individual interests. Possible options include courses from the Informatics MSc, the MPhys programmes in Physics and Astrophysics (PDF file), and the MSc in Geographical Information Science, plus additional courses covering the application of e-Science to particular scientific domains, such as `The Virtual Observatory' for astronomers.

In addition to the one-year, full-time mode of study, this programme can also be taken part-time, over two or three years. Those wishing to take this programme part-time are encouraged to contact the Programme Director (details below) to discuss their situation.

Starting from September 2005 we have defined 5 new programmes within the Master Grid Computing:

1. Computational Science
Computational Science focuses on systems for quantitative modelling and simulation of complex dynamic systems. These are found in, e.g., physics, chemistry and engineering. Key words: mesoscopic modelling, cellular automata, parallel algorithms, scientific visualisation and virtual reality.

2. Bioinformatics
Bioinformatics focuses on modelling and analysis of biological systems. Key words: analysis of molecular biology databases, sequence analysis, modelling of regulatory networks and metabolic pathways, systems biology, biomedical applications.

3. Computer Systems Architecture
Computer Systems Architecture focuses on parallel and distributed hardware and software architecture for high performance computing. Key words: Grid systems, resource management, high-speed networks, next-generation computer architectures, systems on a chip.

4. Program algebra & generic programming
Program algebra & generic programming focuses on programming environments based on formal language definitions, process theory and tools for the specification and verification of concurrent communicating systems. Key words: code re-factoring, software renovation, intermediate languages, process algebra and executable specifications.

5. Free Programme in Computer Science
After consultation with the Master Team Grid Computing, you have the possibility to compose your own programme in computer science.

 

This is a high quality programme aimed at imparting advanced knowledge across a broad range of Computer Science and offering training in advanced skills. It is suitable for those who wish to enhance their computing skills in order to improve their contribution to IT-related industry or to pursue R&D in academia or industry.

There are two entry routes into this programme: (1) for those who have studied a substantial amount of Computer Science and (2) a foundation route for others with a good degree in Science or Engineering.

The course (Grid Computing) is part of the MIERSI/MCC programme of
Departamento de Ciência de Computadores, University of Porto. (MIERSI =
Mestrado Integrado em Engenharia de Redes e Sistemas Informáticos e MCC =
Mestrado em Ciência de Computadores). Students attending this discipline
are enrolled on a 5-year M.Sc. programme (3-year undergraduate + 2 M.Sc.).
It is a semester discipline.

Ementa: Intro to grid computing an data grids. Taxonomy of grids and
applications. Application description languages. Grid systems: utilization
and implementation. Portals. Monitoring tools. Applications.

Language for the course is both Portuguese and English.

The aim of the present tutorial is to introduce the students of the course "Advanced Operating Systems" to the Grid environment, both from the User point of view and from the System administrator point of view.

This course is dedicated to masters and PhD students, but anyone interested can participate. The purpose of the course is to initiate students to the use of grids as computing platform for their application. Although the main focus is on gLite, space will be given to other middleware such as OMII-UK, UNICORE and Globus.