tailieunhanh - Parallel Processing & Distributed Systems: Lecture 1 - Thoai Nam, Tran Vu Pham

Parallel Processing & Distributed Systems: Lecture 1 Introduction What is parallel processing? Why do we use parallel processing? Applications, Parallelism, Parallelism, Application Demands, Grand Challenge Problems, Parallel Processing Terminology. | Parallel Processing Distributed Systems Lectured by Phạm Trần Vũ Prepared by Thoại Nam 31 Course Detail Two lectures per week 90 minutes each - Tuesday 10 00 -11 35 - Thursday 8 15 - 9 50 References - Scalable Parallel Computing Technology Architecture Programming Kai Hwang ZhiweiXu McGraw-Hill 1997. - Parallel Computing - theory and practice Michael J. Quinn McGRAW-HILL 1994. - Parallel Programming Techniques and Applications Using Networked Workstations and Parallel Computers Barry Wilkinson and MiChael Allen Second Edition Prentice Hall 2005. - Distributed Systems Concepts and Design George Coulouris Jean Dillimore Tim Kindberg Addison-Wesley 2005. - Distributed Algorithms Nancy Lynch Morgan Kaufmann 1997. - Distributed Operating Systems Andrew S. Tanenbaum Prentice Hall 1990. - MPI http docs - PVM http pvm - The GRID2 Blueprint for a New Computing Infrastructure Ian Foster and Carl Kesselman Morgan Kaufmann 2004. - Grid Computing Making the Global Infrastructure a Readlity Fran Berman Geoffgrey Fox and Tony Hey. Chapter 1 Introduction Introduction - What is parallel processing - Why do we use parallel processing Applications Parallelism .

• Kỹ thuật lập trình
• Parallel Processing & Distributed Systems
• Parallel processing
• Use parallel processing
• Application Demands
• Grand Challenge Problems
• Lecture Parallel computing & Distributed systems
• Parallel computing & Distributed systems
• Bài giảng Tính toán song song và phân tán
• Parallel matrix processing
• OpenMP Core Syntax
• Nested loops
• Financial disaster modeling
• High perfomance computing
• Distributed System
• Definition of a Distributed System
• Computers vs
• Web Servers in the Internet
• Potentials and Challenges
• Transparency in a Distributed System
• Parallel Computer Architectures
• Flynn’s Taxonomy
• Classification of Parallel Computers Based on Architectures
• Classification based on Architecture
• Pipelined Computers
• Programming Models
• Parallel programming paradigms
• Programmability issues
• Parallel programming models
• Implicit parallelism
• Parallel Algorithms
• Introduction to parallel algorithms development
• Reduction algorithms
• Broadcast algorithms
• Prefix sums algorithms
• Abstract Machine Models
• Parallel Computer Models
• Time Complexity Problem
• Conflicts Resolution Schemes
• Parallel Job Schedulings
• Scheduling on UMA Scheduling on UMA
• Deterministic model
• Gantt chart
• Optimal schedule
• Communication Protocols
• Layered Protocols
• Client Server TCP
• Middleware Protocols
• Message Passing Interface Standard
• MPI – Message Passing Interface Standard
• Compiling MPI Programs
• Executing MPI Programs
• Terminating LAM
• Speedup & Efficiency
• Amdahl’s Law
• Gustafson’s Law
• Sun & Ni’s Law
• Enhanced Amdahl’s Law
• Processor Organization
• Processor Organizations
• Bisection width
• Number of edges per node
• Maximum edge length
• Matrix Multiplication
• Sequential matrix multiplication
• Algorithms for processor arrays
• Matrix multiplication on UMA multiprocessors
• Matrix multiplication on multicomputers
• Mandatory access control
• Introduction to Mandatory Access Control
• Proposed Models for MAC
• MAC in Oracle Oracle Label Security
• MAC properties
• Processing Technology
• Software Development
• DSM Systems
• Networking Technology
• Software Tools