Performance Prediction And Modeling Of Parallel Programs
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Performance Prediction And Modeling Of Parallel Programs
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Author : Shashi Mazumdar
language : en
Publisher:
Release Date : 1997
Performance Prediction And Modeling Of Parallel Programs written by Shashi Mazumdar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.
Performance Evaluation Prediction And Visualization Of Parallel Systems
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Author : Xingfu Wu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Performance Evaluation Prediction And Visualization Of Parallel Systems written by Xingfu Wu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Performance Evaluation, Prediction and Visualization in Parallel Systems presents a comprehensive and systematic discussion of theoretics, methods, techniques and tools for performance evaluation, prediction and visualization of parallel systems. Chapter 1 gives a short overview of performance degradation of parallel systems, and presents a general discussion on the importance of performance evaluation, prediction and visualization of parallel systems. Chapter 2 analyzes and defines several kinds of serial and parallel runtime, points out some of the weaknesses of parallel speedup metrics, and discusses how to improve and generalize them. Chapter 3 describes formal definitions of scalability, addresses the basic metrics affecting the scalability of parallel systems, discusses scalability of parallel systems from three aspects: parallel architecture, parallel algorithm and parallel algorithm-architecture combinations, and analyzes the relations of scalability and speedup. Chapter 4 discusses the methodology of performance measurement, describes the benchmark- oriented performance test and analysis and how to measure speedup and scalability in practice. Chapter 5 analyzes the difficulties in performance prediction, discusses application-oriented and architecture-oriented performance prediction and how to predict speedup and scalability in practice. Chapter 6 discusses performance visualization techniques and tools for parallel systems from three stages: performance data collection, performance data filtering and performance data visualization, and classifies the existing performance visualization tools. Chapter 7 describes parallel compiling-based, search-based and knowledge-based performance debugging, which assists programmers to optimize the strategy or algorithm in their parallel programs, and presents visual programming-based performance debugging to help programmers identify the location and cause of the performance problem. It also provides concrete suggestions on how to modify their parallel program to improve the performance. Chapter 8 gives an overview of current interconnection networks for parallel systems, analyzes the scalability of interconnection networks, and discusses how to measure and improve network performances. Performance Evaluation, Prediction and Visualization in Parallel Systems serves as an excellent reference for researchers, and may be used as a text for advanced courses on the topic.
Performance Prediction And Tuning Of Parallel Programs
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Author : Mark Edward Crovella
language : en
Publisher:
Release Date : 1994
Performance Prediction And Tuning Of Parallel Programs written by Mark Edward Crovella and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with categories.
Automatic Performance Prediction Of Parallel Programs
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Author : Thomas Fahringer
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Automatic Performance Prediction Of Parallel Programs written by Thomas Fahringer and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
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.
Performance Prediction For Mapped Parallel Programs
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Author : Bernd Heinrich Stramm
language : en
Publisher: Ann Arbor, Mich. : University Microfilms International
Release Date : 1993
Performance Prediction For Mapped Parallel Programs written by Bernd Heinrich Stramm and has been published by Ann Arbor, Mich. : University Microfilms International this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with categories.
Analyzing The Behavior And Performance Of Parallel Programs
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Author : Vikram S. Adve
language : en
Publisher:
Release Date : 1993
Analyzing The Behavior And Performance Of Parallel Programs written by Vikram S. Adve and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Parallel programming (Computer science) categories.
Models And Evaluation Of Parallel Programs With Large Computation And I O Requirements
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Author : International Business Machines Corporation. Research Division. (IBMRD)
language : en
Publisher:
Release Date : 1999
Models And Evaluation Of Parallel Programs With Large Computation And I O Requirements written by International Business Machines Corporation. Research Division. (IBMRD) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Parallel processing (Electronic computers) categories.
Abstract: "A fundamental understanding of the interplay of computation and I/O activities in parallel applications that manipulate huge amounts of data is critical to achieving good application performance, as well as to identifying principles for the design and management of parallel system software. In this paper we exploit a formal model of the behavior of large-scale parallel applications based on observations regarding the interaction of CPU and I/O activity in a representative set of scientific codes. The model can be applied at varous levels of characterization granularity. Results from the model are in good agreement with measurement data from a set of representative I/O intensive codes. A capacity planning example is provided to illustrate one of the potential uses of our methodology in practice. The model is also used for performance prediction via a set of functional forms that effectively forecast the scalability of the computation and I/O components of an application. The complexity of the functional form adopted affects the accuracy of performance prediction."
Model Based Performance Prediction For Concurrent Software On Multicore Architectures A Simulation Based Approach
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Author : Frank, Markus Kilian
language : en
Publisher: KIT Scientific Publishing
Release Date : 2022-07-18
Model Based Performance Prediction For Concurrent Software On Multicore Architectures A Simulation Based Approach written by Frank, Markus Kilian and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-18 with Computers categories.
Die modellbasierte Performancevorhersage ist ein bekanntes Konzept zur Gewährleistung der Softwarequalität. Derzeitige Ansätze basieren auf einem Modell mit einer Metrik, was zu ungenauen Vorhersagen für moderne Architekturen führt. In dieser Arbeit wird ein Multi-Strategie-Ansatz zur Erweiterung von Performancevorhersagemodellen zur Unterstützung von Multicore-Architekturen vorgestellt, in Palladio implementiert und dadurch die Genauigkeit der Vorhersage deutlich verbessert. - Model-based performance prediction is a well-known concept to ensure the quality of software. Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures. We implemented the strategies into Palladio and significantly increased the performance prediction power.
Performance Prediction Of Parallel Programs
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Author : Sundeep Prakash
language : en
Publisher:
Release Date : 1996
Performance Prediction Of Parallel Programs written by Sundeep Prakash and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with categories.
Performance Modelling Techniques For Parallel Supercomputing Applications
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Author : Duncan A. Grove
language : en
Publisher:
Release Date : 2010
Performance Modelling Techniques For Parallel Supercomputing Applications written by Duncan A. Grove and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Parallel processing (Electronic computers) categories.
Ever since the invention of the computer, users have demanded more and more computational power to tackle increasingly complex problems. A common means of increasing the amount of computational power available for solving a problem is to use parallel computing. Unfortunately, however, creating efficient parallel programs is notoriously difficult. In addition to all of the well-known problems that are associated with constructing a good serial algorithm, there are a number of problems specifically associated with constructing a good parallel algorithm. These mainly revolve around ensuring that all processors are kept busy and that they have timely access to the data that they require. Unfortunately, however, controlling a number of processors operating in parallel can be exponentially more complicated than controlling one processor. Furthermore, unlike data placement in serial programs, where sophisticated compilation techniques that optimise cache behaviour and memory interleaving are common, optimising data placement throughout the vastly more complex memory hierarchy present in parallel computers is often left to the parallel application programmer. All of these problems are compounded by the large number of parallel computing architectures that exist, because they often exhibit vastly different performance characteristics, which makes writing well-optimised, portable code especially difficult. The primary weapon against these problems in a parallel programmer's or parallel computer architect's arsenal is -- or at least should be -- the art of performance prediction. This book provides a historical exposition of over four decades of research into techniques for modelling the performance of computer programs running on parallel computers.