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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing
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Not currently available
Automatic Performance Prediction of Parallel Programs (Hardcover, 1996 ed.)
Loot Price: R2,602
Discovery Miles 26 020
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Automatic Performance Prediction of Parallel Programs (Hardcover, 1996 ed.)
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Automatic Performance Prediction of Parallel Programs presents a
unified approach to the problem of automatically estimating the
performance of parallel computer programs. The author focuses
primarily on distributed memory multiprocessor systems, although
large portions of the analysis can be applied to shared memory
architectures as well. The author introduces a novel and very
practical approach for predicting some of the most important
performance parameters of parallel programs, including work
distribution, number of transfers, amount of data transferred,
network contention, transfer time, computation time and number of
cache misses. This approach is based on advanced compiler analysis
that carefully examines loop iteration spaces, procedure calls,
array subscript expressions, communication patterns, data
distributions and optimizing code transformations at the program
level; and the most important machine specific parameters including
cache characteristics, communication network indices, and benchmark
data for computational operations at the machine level. The
material has been fully implemented as part of P3T, which is an
integrated automatic performance estimator of the Vienna Fortran
Compilation System (VFCS), a state-of-the-art parallelizing
compiler for Fortran77, Vienna Fortran and a subset of High
Performance Fortran (HPF) programs. A large number of experiments
using realistic HPF and Vienna Fortran code examples demonstrate
highly accurate performance estimates, and the ability of the
described performance prediction approach to successfully guide
both programmer and compiler in parallelizing and optimizing
parallel programs. A graphical user interface is described and
displayed that visualizes each program source line together with
the corresponding parameter values. P3T uses color-coded
performance visualization to immediately identify hot spots in the
parallel program. Performance data can be filtered and displayed at
various levels of detail. Colors displayed by the graphical user
interface are visualized in greyscale. Automatic Performance
Prediction of Parallel Programs also includes coverage of
fundamental problems of automatic parallelization for distributed
memory multicomputers, a description of the basic parallelization
strategy and a large variety of optimizing code transformations as
included under VFCS.
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