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    Subject Notes Illustration
    Subject Notes Illustration
    Course Code: COMP313933 Topics

    Parallel & Distributed Computing

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    33
    Total Topics
    0
    Completed
    33
    Pending
    6
    Units / Chapters
    Chap 1:

    General Topics

    0/3 done3 topics
    01
    Introduction to Parallel and Distributed Systems
    02
    Why Use Parallel and Distributed Systems?
    03
    Speedup and Amdahl's Law
    Chap 1:

    Hardware Architectures

    0/3 done3 topics
    04
    Multi Processors (Shared Memory)
    05
    Networks of Workstations (Distributed Memory)
    06
    Clusters (Latest Variation)
    Chap 2:

    Software Architectures

    0/10 done10 topics
    07
    Threads and Shared Memory
    08
    Processes and Message Passing
    09
    Distributed Shared Memory (DSM)
    10
    Distributed Shared Data (DSD)
    11
    Parallel Algorithms
    12
    Concurrency and Synchronization
    13
    Data and Work Partitioning
    14
    Common Parallelization Strategies
    15
    Granularity
    16
    Load Balancing
    Chap 3:

    Examples of Parallel Algorithms

    0/15 done15 topics
    17
    Parallel Search
    18
    Parallel Sorting
    19
    Shared-Memory Programming
    20
    Threads in Shared-Memory Programming
    21
    P Threads
    22
    Locks and Semaphores
    23
    Distributed-Memory Programming
    24
    Message Passing
    25
    Map Reduce
    26
    Distributed-Memory Programming with PI
    27
    Google's Map Reduce
    28
    Hadoop
    29
    Other Parallel Programming Systems
    30
    Tread Marks
    31
    Distributed Shared Memory
    Chap 4:

    Aurora

    0/1 done1 topic
    32
    Scoped Behavior and Abstract Data Types
    Chap 5:

    S Enterprise

    0/1 done1 topic
    33
    Process Templates

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