Program Monitoring And Visualization
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Program Monitoring and Visualization
Author: Clinton L. Jeffery
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
In computer science, the primary application of visualization technology is software visualization: the use of graphics to portray information obtained from a static or dynamic analysis of a program. Software visualization is used in several phases of the software development lifecycle, but it is of particular interest in the "back- end" tasks of debugging, performance tuning, and understanding complex systems in order to maintain them. Software visualization is expected to improve the back end of the software development process which can result in huge cost savings. Debugging, tuning and maintaining programs comprise the majority of the high costs associated with software development. Unfortunately, the rate at which these software technologies have improved has been gradual. The task of writing software visualization tools is difficult, and most existing systems are limited to a narrow scope, such as the visualization of a single well-understood algorithm from a hand-instrumented source program. This book presents software visualization at a level suitable for a senior level undergraduate or graduate course or for the interested technical professional. The approach is to give a survey of the field, and then present a specific research framework designed to reduce the effort required to write visualization tools. A wide range of simple program control flow and data structure visualizations are then presented as examples of how to obtain information about program behavior, and how to present it graphically. Source code fragments and screen images illustrate each example.
Performance Evaluation, Prediction and Visualization of Parallel Systems
Author: Xingfu Wu
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
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 performanceproblem. 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.
Writing Virtual Environments for Software Visualization
Writing Virtual Environments for Software Visualization book describes the software for a networked, 3D multi-user virtual environment that allows users to create and share remotely visualizations of program behavior. Collaborative virtual environments such as World of Warcraft or Second Life are a popular way to share interactive internet experiences, but they are complex and difficult to create. Software visualization is an area that may enable important advances in our ability to understand and reduce the costs of maintaining software. Applying the former technology to this problem area will be valuable to distributed and multi-institutional software development and educational users. The author covers the major features of collaborative virtual environments and how to program them in a very high level language. The book also examines the application of popular game-like software technologies.