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Author: Shashi Mazumdar
Publisher:
ISBN:
Category :
Languages : en
Pages : 138
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Author: Shashi Mazumdar
Publisher:
ISBN:
Category :
Languages : en
Pages : 138
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Author: Thomas Fahringer
Publisher: Springer Science & Business Media
ISBN: 1461313716
Category : Computers
Languages : en
Pages : 279
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Book Description
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.
Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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Book Description
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.
Author: Mark Edward Crovella
Publisher:
ISBN:
Category :
Languages : en
Pages : 302
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Author: Bernd Heinrich Stramm
Publisher: Ann Arbor, Mich. : University Microfilms International
ISBN:
Category :
Languages : en
Pages : 248
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Author: Sundeep Prakash
Publisher:
ISBN:
Category :
Languages : en
Pages : 282
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Author: Vikram S. Adve
Publisher:
ISBN:
Category : Parallel programming (Computer science)
Languages : en
Pages : 294
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Author: International Business Machines Corporation. Research Division. (IBMRD)
Publisher:
ISBN:
Category : Parallel processing (Electronic computers)
Languages : en
Pages : 25
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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."
Author: Frank, Markus Kilian
Publisher: KIT Scientific Publishing
ISBN: 3731511460
Category : Computers
Languages : en
Pages : 400
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Book Description
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.
Author: Matthias Schumann
Publisher:
ISBN: 9783826516849
Category : Parallel processing (Electronic computers)
Languages : de
Pages : 217
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