What is distributed programming?-Microsoft Learn

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What is distributed programming?

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Microsoft

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Tech & Programming

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In this module, you will:

Classify programs as sequential, concurrent, parallel, and distributed
Indicate why programmers usually parallelize sequential programs
Explain why cloud programs are important for solving complex computing problems
Define distributed systems, and indicate the relationship between distributed systems and clouds
Define distributed programming models
Indicate why synchronization is needed in shared-memory systems
Describe how tasks can communicate by using the message-passing programming model
Outline the difference between synchronous and asynchronous programs
Explain the bulk synchronous parallel (BSP) model
Outline the difference between data parallelism and graph parallelism
Distinguish between these distributed programs: single program, multiple data (SPMD); and multiple program, multiple data (MPMD)
Discuss the two main techniques that can be incorporated in distributed programs so as to address the communication bottleneck in the cloud
Define heterogeneous and homogenous clouds, and identify the main reasons for heterogeneity in the cloud
State when and why synchronization is required in the cloud
Identify the main technique that can be used to tolerate faults in clouds
Outline the difference between task scheduling and job scheduling
In partnership with Dr. Majd Sakr and Carnegie Mellon University.

Curriculum

Distributed programming on the cloud
Cloud developer
Introduction
Categories of computer programs
Why use distributed programming?
Distributed programming on the cloud
Programming models for clouds
Synchronous vs. asynchronous computation
Types of parallelism
Symmetrical vs. asymmetrical architecture
Cloud challenges: Scalability
Cloud challenges: Communication
Cloud challenges: Heterogeneity
Cloud challenges: Synchronization
Cloud challenges: Fault tolerance
Cloud challenges: Scheduling
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Instructor :

Microsoft

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