Autenticação

Utilizador:

Senha:

Iniciar sessão

Esqueceu-se da senha?

High Performance Computing

Code:

BINF021

Sigla:

CAD

Áreas Científicas
Classificação	Área Científica
OFICIAL	Informática

Ocorrência: 2021/2022 - 2S

Ativa?	Yes
Página Web:	https://moodle.ips.pt/2122/course/view.php?id=1620
Unidade Responsável:	Matemática e Informática
Curso/CE Responsável:	Undergraduate in Bioinformatics

Ciclos de Estudo/Cursos

Sigla	Nº de Estudantes	Plano de Estudos	Anos Curriculares	Créditos UCN	Créditos ECTS	Horas de Contacto	Horas Totais
BINF	30	Study Plan	2	-	5	52,5	135

Língua de trabalho

Portuguese

Objetivos

Acquire basic skills in the field of Operating Systems and multiprogramming.
Understand the concept of parallel and high-performance programming.
Know when to apply this knowledge to bioinformatics problems.
Understand the concept of parallel and high-performance programming and know when to apply this knowledge to bioinformatics problems.

Resultados de aprendizagem e competências

Describes the structure and functioning of an OS, identifying its constituent parts and relating it to the various physical components (hardware) of the computer.
Enunciates and compares different scheduling algorithms, or selection, by analyzing their positive and negative aspects.
Enunciates and compares various topologies of computer networks and correctly describes the functioning of local networks (wired or not) and the Internet and the client/server and peer-to-peer paradigms.
Enunciates the various models of high-performance computing.
Defines a given problem at the level of Bioinformatics, identifying its constraints.
Elaborates and describes the functioning of an OS based on process state diagrams.
Develops and describes the operation of a program that uses multiprogramming techniques such as semaphores.
Develops applications for computers that make use of computer resources efficiently using and mastering multiprogramming and synchronization of threads/processes and parallel programming from a problem. 
Solves problems in your area using different approaches to high-performance computing.

Modo de trabalho

Presencial

Pré-requisitos (conhecimentos prévios) e co-requisitos (conhecimentos simultâneos)

It presupposes basic skills acquired in programming and knowledge of the most frequent uses of information technology in Bioinformatics.

Programa

Operating System Basics

1. Historical evolution


2. Structure and objectives of an OS


3. State of the art


4. Process and thread management: Competition and pseudoparallelism


5. Communication between processes and threads


6. Process scheduling


7. Types of memory


8. Virtual memory, paging and segmentation


9. I/O: Internal implementation


10. I/O devices, controllers and DMA


11. Handling interruptions

Computer Networks Basics

1. Computer Networks Concepts


2. Models OSI and TCP/IP


3. TCP/IP Networks and Ethernet Networks


4. Wireless Local Networks


5. Virtual Local Networks


6. Models of communication and distributing processing


7. Distributed programming interfaces for C and Java

Introduction to the concept of parallel processing and distributed computing.

1. Client/Server Model versus Peer-to-Peer Model


2. Communication by passing messages


3. Challenges of parallel computing (shared state, correctness)


4. Parallel execution mechanisms
   
   
   
   1. Serialization and synchronization
   
   
   2. Locks and Semaphores
   
   
   3. Conditional variables
   
   
   
   

1. Parallel computing models and paradigms


2. Parallel computing applications

Introduction to high-performance computing

1. Introduction to CUDA/OpenCL and Graphics Processors (GPUs)


2. Interfaces and development models for GPUs


3. Performance factors

Bibliografia Obrigatória

Tanenbaum Andrew; Modern operating systems, Prentice Hall Press, 2015. ISBN: 978-0133591620
Andrews Greg; Foundations of multithreading, parallel and distributed programming, Addison-Wesley Longman Publishing Co., 1999. ISBN: 978-0201357523

Bibliografia Complementar

Tanenbaum Andrew; Distributed Systems: Principles and Paradigms, Prentice Hall Press, 2006. ISBN: 978-1543057386
Pacheco Peter; An introduction to parallel programming, Morgan Kaufmann, 2011. ISBN: 9780123742605

Métodos de ensino e atividades de aprendizagem

Theoretical classes with slide shows and debates; presentations of group research papers; Moodle quizzes for learning reinforcement and assessment.
Practical classes with licensed or free software and simulation on laboratory computers.
Proposed research work on the state of the art and parallel programming project with presentations in the student room.

Software

MinGW
VSCode
Python3
PyCharm

Palavras Chave

Technological sciences > Technology > Computer technology > Software technology
Technological sciences > Technology > Computer technology > Systems technology

Tipo de avaliação

Distributed evaluation without final exam

Componentes de Avaliação

Designation	Peso (%)
Apresentação/discussão de um trabalho científico	30,00
Teste	35,00
Participação presencial	35,00
Total:	100,00

Componentes de Ocupação

Designation	Tempo (Horas)
Apresentação/discussão de um trabalho científico	4,00
Estudo autónomo	37,00
Frequência das aulas	28,00
Trabalho de investigação	38,00
Trabalho laboratorial	28,00
Total:	135,00

Obtenção de frequência

Exceptionally this semester the attendance of students will not be computed.

Fórmula de cálculo da classificação final

Final grade = 0.35xquizzes + 0.35xtest + 0.30xproject