Scalable Shared-Memory Multiprocessing by Daniel E. Lenoski

By Daniel E. Lenoski

Dr. Lenoski and Dr. Weber have event with modern examine and sensible matters serious about enforcing large-scale parallel platforms. They have been key members to the structure and layout of the sprint multiprocessor. at present, they're concerned with commercializing scalable shared-memory technology.

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FinaUy, we delve more deeply into the communication behavior of shared data in paraUel applications. We look at computation-to-communication ratios for the appUcations and study the behavior of shared data. 1 Basic Concepts While the intricacies of programming a shared-memory multiprocessor are beyond the scope of this book, in this section we provide a quick overview of the basic concepts. It can be skipped by the more experienced reader without any loss of continuity. T h e key concepts covered are access to shared data, the problem of dividing work and data, synchronization, static versus dynamic scheduling, and performance improvements.

Task creation is handled by the A N L macros using the CREATE macro, which spawns a new process running the given procedure name. In the parallel version of our matrix multi­ plication program, we spawn four processes that each execute the procedure TaskfJ. The following code fragment assumes that the three matrices have been allocated in shared space using G_MALLOC. Similarly, all the global scalar variables {rows_of_A, cols_of_By and cols_of_A) have been allocated as one shared structure pointed to by the pointer shared.

5 Chapter Conclusions Microprocessor-based multiprocessors are becoming an increasingly viable way to achieve high performance because of the narrowing gap between microprocessors and the fastest supercomputers, and the tremendous cost-performance advantage of microprocessor-based systems. Programming a paraUel machine remains a chaUenge, however. O f the alternative paraUel architectures, a multiple instruction, multiple data ( M I M D ) architecture supporting global shared-memory is preferred because of its flexibiUty and ease of programming.

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