Lightweight Kernel Operating System: Massively parallel, High-performance computing, Operating system, Parallel programming model, Bulk synchronous parallel, MPI - Softcover

 
9786132808639: Lightweight Kernel Operating System: Massively parallel, High-performance computing, Operating system, Parallel programming model, Bulk synchronous parallel, MPI

Inhaltsangabe

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A massively parallel, high-performance computing system is particularly sensitive to operating system overhead. Traditional, multi-purpose, operating systems are designed to support a wide range of usage models and requirements. To support the range of needs, a large number of system processes are provided and are often inter-dependent on each other. The computing overhead of these processes leads to an unpredictable amount of processor time available to a parallel application. A very common parallel programming model is referred to as the bulk synchronous parallel model which often employs MPI for communication. The synchronization events are made at specific points in the application code. If one processor takes longer to reach that point than all the other processors, everyone must wait. The overall finish time is increased. Unpredictable operating system overhead is one significant reason a processor might take longer to reach the synchronization point than the others.

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Reseña del editor

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. A massively parallel, high-performance computing system is particularly sensitive to operating system overhead. Traditional, multi-purpose, operating systems are designed to support a wide range of usage models and requirements. To support the range of needs, a large number of system processes are provided and are often inter-dependent on each other. The computing overhead of these processes leads to an unpredictable amount of processor time available to a parallel application. A very common parallel programming model is referred to as the bulk synchronous parallel model which often employs MPI for communication. The synchronization events are made at specific points in the application code. If one processor takes longer to reach that point than all the other processors, everyone must wait. The overall finish time is increased. Unpredictable operating system overhead is one significant reason a processor might take longer to reach the synchronization point than the others.

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