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Async and Parallel Programming: Application Design

Course Summary

Need to make your .NET applications more responsive? Run faster? On today's multicore hardware, async and parallel programming may be the answer. This course (part 2 of 2) discusses the safe and efficient design of asynchronous and parallel .NET applicati


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    Course Syllabus

    ● Understanding the Dangers of Concurrency
        ◦ Introductions and Agenda
        ◦ The pitfalls of concurrency
        ◦ Race conditions involving shared resources
        ◦ Solving race conditions --- an overview
        ◦ The danger of shared objects
        ◦ Thread-safety and solutions to shared objects
        ◦ Synchronization primitives
        ◦ Performance lessons...
        ◦ Summary and References
    ● Execution Model and Types of Parallelism
        ◦ Introductions and Agenda
        ◦ Custom task scheduling
        ◦ Additional observations regarding task scheduler
        ◦ Work-stealing in detail
        ◦ Fairness option to execute tasks in order
        ◦ LongRunning option for tasks > 1-2 seconds
        ◦ Solution for 100 long-running tasks
        ◦ Parallel.For = more concise solution
        ◦ Types of Parallelism
        ◦ Data parallelism
        ◦ Task parallelism
        ◦ Dataflow parallelism
        ◦ Embarrassingly parallel
        ◦ TPL support for parallelism types
        ◦ Parallel.For, .Foreach, .Invoke
        ◦ Structured (fork-join) parallelism
        ◦ Data partitioning
        ◦ Custom data partitioning
        ◦ Exception handling with Parallel class
        ◦ Breaking out of a Parallel loop
        ◦ Cancelling a Parallel loop
        ◦ Summary and References
    ● Designs and Patterns for Parallel Programming
        ◦ Introductions and Agenda
        ◦ Parallel Patterns --- master list
        ◦ Pipeline pattern
        ◦ Dataflow pattern
        ◦ Increasing parallelism in pipeline and dataflow
        ◦ Concurrent Data Structures --- master list
        ◦ ConcurrentQueue T
        ◦ Producer-Consumer pattern
        ◦ Implementation of Producer-Consumer with BlockingCollection T
        ◦ MapReduce pattern
        ◦ Implementing MapReduce
        ◦ Parallel LINQ (PLINQ)
        ◦ Speculative Execution pattern
        ◦ APM example of async file I/O
        ◦ Parallel I/O design challenge
        ◦ Summary and References
     


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Industry Specific Applications Community

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