Author: Bahadir Karasulu
Publisher: Springer Science & Business Media
ISBN: 1461465346
Category : Computers
Languages : en
Pages : 84
Book Description
Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Performance Evaluation Software
Author: Bahadir Karasulu
Publisher: Springer Science & Business Media
ISBN: 1461465346
Category : Computers
Languages : en
Pages : 84
Book Description
Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Publisher: Springer Science & Business Media
ISBN: 1461465346
Category : Computers
Languages : en
Pages : 84
Book Description
Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Software Performance and Scalability
Author: Henry H. Liu
Publisher: John Wiley & Sons
ISBN: 1118211316
Category : Computers
Languages : en
Pages : 307
Book Description
Praise from the Reviewers: "The practicality of the subject in a real-world situation distinguishes this book from others available on the market." —Professor Behrouz Far, University of Calgary "This book could replace the computer organization texts now in use that every CS and CpE student must take. . . . It is much needed, well written, and thoughtful." —Professor Larry Bernstein, Stevens Institute of Technology A distinctive, educational text onsoftware performance and scalability This is the first book to take a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability: The Basics—introduces the computer hardware and software architectures that predetermine the performance and scalability of a software product as well as the principles of measuring the performance and scalability of a software product Queuing Theory—helps you learn the performance laws and queuing models for interpreting the underlying physics behind software performance and scalability, supplemented with ready-to-apply techniques for improving the performance and scalability of a software system API Profiling—shows you how to design more efficient algorithms and achieve optimized performance and scalability, aided by adopting an API profiling framework (perfBasic) built on the concept of a performance map for drilling down performance root causes at the API level Software Performance and Scalability gives you a specialized skill set that will enable you to design and build performance into your products with immediate, measurable improvements. Complemented with real-world case studies, it is an indispensable resource for software developers, quality and performance assurance engineers, architects, and managers. It is anideal text for university courses related to computer and software performance evaluation and can also be used to supplement a course in computer organization or in queuing theory for upper-division and graduate computer science students.
Publisher: John Wiley & Sons
ISBN: 1118211316
Category : Computers
Languages : en
Pages : 307
Book Description
Praise from the Reviewers: "The practicality of the subject in a real-world situation distinguishes this book from others available on the market." —Professor Behrouz Far, University of Calgary "This book could replace the computer organization texts now in use that every CS and CpE student must take. . . . It is much needed, well written, and thoughtful." —Professor Larry Bernstein, Stevens Institute of Technology A distinctive, educational text onsoftware performance and scalability This is the first book to take a quantitative approach to the subject of software performance and scalability. It brings together three unique perspectives to demonstrate how your products can be optimized and tuned for the best possible performance and scalability: The Basics—introduces the computer hardware and software architectures that predetermine the performance and scalability of a software product as well as the principles of measuring the performance and scalability of a software product Queuing Theory—helps you learn the performance laws and queuing models for interpreting the underlying physics behind software performance and scalability, supplemented with ready-to-apply techniques for improving the performance and scalability of a software system API Profiling—shows you how to design more efficient algorithms and achieve optimized performance and scalability, aided by adopting an API profiling framework (perfBasic) built on the concept of a performance map for drilling down performance root causes at the API level Software Performance and Scalability gives you a specialized skill set that will enable you to design and build performance into your products with immediate, measurable improvements. Complemented with real-world case studies, it is an indispensable resource for software developers, quality and performance assurance engineers, architects, and managers. It is anideal text for university courses related to computer and software performance evaluation and can also be used to supplement a course in computer organization or in queuing theory for upper-division and graduate computer science students.
The Appraisal Interview
Author: Norman Raymond Frederick Maier
Publisher: New York : Wiley
ISBN:
Category : Employees
Languages : en
Pages : 268
Book Description
Publisher: New York : Wiley
ISBN:
Category : Employees
Languages : en
Pages : 268
Book Description
Building Mobile Apps at Scale
Author: Gergely Orosz
Publisher:
ISBN: 9781638778868
Category :
Languages : en
Pages : 238
Book Description
While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?
Publisher:
ISBN: 9781638778868
Category :
Languages : en
Pages : 238
Book Description
While there is a lot of appreciation for backend and distributed systems challenges, there tends to be less empathy for why mobile development is hard when done at scale. This book collects challenges engineers face when building iOS and Android apps at scale, and common ways to tackle these. By scale, we mean having numbers of users in the millions and being built by large engineering teams. For mobile engineers, this book is a blueprint for modern app engineering approaches. For non-mobile engineers and managers, it is a resource with which to build empathy and appreciation for the complexity of world-class mobile engineering. The book covers iOS and Android mobile app challenges on these dimensions: Challenges due to the unique nature of mobile applications compared to the web, and to the backend. App complexity challenges. How do you deal with increasingly complicated navigation patterns? What about non-deterministic event combinations? How do you localize across several languages, and how do you scale your automated and manual tests? Challenges due to large engineering teams. The larger the mobile team, the more challenging it becomes to ensure a consistent architecture. If your company builds multiple apps, how do you balance not rewriting everything from scratch while moving at a fast pace, over waiting on "centralized" teams? Cross-platform approaches. The tooling to build mobile apps keeps changing. New languages, frameworks, and approaches that all promise to address the pain points of mobile engineering keep appearing. But which approach should you choose? Flutter, React Native, Cordova? Native apps? Reuse business logic written in Kotlin, C#, C++ or other languages? What engineering approaches do "world-class" mobile engineering teams choose in non-functional aspects like code quality, compliance, privacy, compliance, or with experimentation, performance, or app size?
Powerful Performance Management
Author: John Mattone
Publisher: AMACOM
ISBN: 0814432700
Category : Business & Economics
Languages : en
Pages : 53
Book Description
To survive in today’s hypercompetitive marketplace, leaders must find ways to elevate the performance of their employees. By continuously setting higher goals to strive for, strengthening employee competencies via coaching, and providing feedback to employees, leaders can create a positive performance cycle that leads to improved individual and team performance and, ultimately, stronger operating results for the organization. This action guide covers the three stages of performance management: goal-setting, coaching, and performance review. It includes step-by-step instructions and tips, the 10 elements of positive performance management, the five steps to preparing for a review, guidance on how to prepare the employees and engage them during the reviews, the most effective steps you can take to improve performance, and more.
Publisher: AMACOM
ISBN: 0814432700
Category : Business & Economics
Languages : en
Pages : 53
Book Description
To survive in today’s hypercompetitive marketplace, leaders must find ways to elevate the performance of their employees. By continuously setting higher goals to strive for, strengthening employee competencies via coaching, and providing feedback to employees, leaders can create a positive performance cycle that leads to improved individual and team performance and, ultimately, stronger operating results for the organization. This action guide covers the three stages of performance management: goal-setting, coaching, and performance review. It includes step-by-step instructions and tips, the 10 elements of positive performance management, the five steps to preparing for a review, guidance on how to prepare the employees and engage them during the reviews, the most effective steps you can take to improve performance, and more.
How to Be Good at Performance Appraisals
Author: Dick Grote
Publisher: Harvard Business Press
ISBN: 1422142701
Category : Business & Economics
Languages : en
Pages : 228
Book Description
Do you supervise people? If so, this book is for you. One of a manager’s toughest—and most important—responsibilities is to evaluate an employee’s performance, providing honest feedback and clarifying what they’ve done well and where they need to improve. In How to Be Good at Performance Appraisals, Dick Grote provides a concise, hands-on guide to succeeding at every step of the performance appraisal process—no matter what performance management system your organization uses. Through step-by-step instructions, examples, do-and-don’t bullet lists, sample dialogues, and suggested scripts, he shows you how to handle every appraisal activity from setting goals and defining job responsibilities to evaluating performance quality and discussing the performance evaluation face-to-face. Based on decades of experience guiding managers through their biggest challenges, Grote helps answer the questions he hears most often: • How do I set goals effectively? How many goals should someone set? • How do I evaluate a person’s behaviors? Which counts more, behaviors or results? • How do I determine the right performance appraisal rating? How do I explain my rating to a skeptical employee? • How do I tell someone she’s not meeting my expectations? How do I deliver bad news? Grote also explains how to tackle other thorny performance management tasks, including determining compensation and terminating poor performers. In accessible and useful language, How to Be Good at Performance Appraisals will help you handle performance appraisals confidently and successfully, no matter the size or culture of your organization. It’s the one book you need to excel at this daunting yet critical task.
Publisher: Harvard Business Press
ISBN: 1422142701
Category : Business & Economics
Languages : en
Pages : 228
Book Description
Do you supervise people? If so, this book is for you. One of a manager’s toughest—and most important—responsibilities is to evaluate an employee’s performance, providing honest feedback and clarifying what they’ve done well and where they need to improve. In How to Be Good at Performance Appraisals, Dick Grote provides a concise, hands-on guide to succeeding at every step of the performance appraisal process—no matter what performance management system your organization uses. Through step-by-step instructions, examples, do-and-don’t bullet lists, sample dialogues, and suggested scripts, he shows you how to handle every appraisal activity from setting goals and defining job responsibilities to evaluating performance quality and discussing the performance evaluation face-to-face. Based on decades of experience guiding managers through their biggest challenges, Grote helps answer the questions he hears most often: • How do I set goals effectively? How many goals should someone set? • How do I evaluate a person’s behaviors? Which counts more, behaviors or results? • How do I determine the right performance appraisal rating? How do I explain my rating to a skeptical employee? • How do I tell someone she’s not meeting my expectations? How do I deliver bad news? Grote also explains how to tackle other thorny performance management tasks, including determining compensation and terminating poor performers. In accessible and useful language, How to Be Good at Performance Appraisals will help you handle performance appraisals confidently and successfully, no matter the size or culture of your organization. It’s the one book you need to excel at this daunting yet critical task.
Quantitative Models for Performance Evaluation and Benchmarking
Author: Joe Zhu
Publisher: Springer
ISBN: 3319066471
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.
Publisher: Springer
ISBN: 3319066471
Category : Business & Economics
Languages : en
Pages : 419
Book Description
The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.
Next Generation Performance Management
Author: Alan L. Colquitt
Publisher: IAP
ISBN: 1681239345
Category : Business & Economics
Languages : en
Pages : 237
Book Description
There is no HR-related topic more popular in the business press than performance management (PM). There has been an explosion in writing on this topic in the past 5 years, condemning it as a failure and calling for fundamental change. The vast majority of organizations use the same basic process which I call “Last Generation Performance Management” or PM 1.0 for short. Despite widespread agreement that PM 1.0 is failing, few companies have abandoned it or made fundamental changes to it. While everyone agrees it is broken, few agree on how to fix it. Companies continue to tinker with their systems, making incremental changes every few years with no lasting improvement in effectiveness. Employees continue to achieve amazing things in organizations every day, despite this process not because of it. Nothing has worked because organizations, business leaders and HR professionals focus on PM practices instead of the fundamental purpose of PM and the paradigms, assumptions, and beliefs that underlie the practices. Companies ask their performance management process to do too many things and it fails at all of them as a result. At the foundation of PM 1.0 practices is the ideology of a meritocracy and paradigms rooted in standard economic and psychological theories. While these theories were adequate explanations for motivation and behavior in the 19th and 20th centuries, they fail to account for the increasingly complex nature of organizations and their environments today. Despite the ineffectiveness of PM 1.0, there are powerful forces holding it in place. Information on rigorous, evidence-based recommendations is crowded out by benchmarking information, case studies of high-profile companies, and other propaganda coming from HR think tanks and consultants. Business leaders and HR professionals learn about common practices not effective practices. This book confronts the traditional dogma, paradigms, and practices of PM 1.0 and holds them up to the bright light of scientific scrutiny. It encourages HR professionals and business leaders to abandon PM 1.0 and it offers up a more appropriate purpose for PM, alternative paradigms to guide them and practical solutions that are better supported by scientific research, referred to as “Next Generation Performance Management” or PM 2.0 for short.
Publisher: IAP
ISBN: 1681239345
Category : Business & Economics
Languages : en
Pages : 237
Book Description
There is no HR-related topic more popular in the business press than performance management (PM). There has been an explosion in writing on this topic in the past 5 years, condemning it as a failure and calling for fundamental change. The vast majority of organizations use the same basic process which I call “Last Generation Performance Management” or PM 1.0 for short. Despite widespread agreement that PM 1.0 is failing, few companies have abandoned it or made fundamental changes to it. While everyone agrees it is broken, few agree on how to fix it. Companies continue to tinker with their systems, making incremental changes every few years with no lasting improvement in effectiveness. Employees continue to achieve amazing things in organizations every day, despite this process not because of it. Nothing has worked because organizations, business leaders and HR professionals focus on PM practices instead of the fundamental purpose of PM and the paradigms, assumptions, and beliefs that underlie the practices. Companies ask their performance management process to do too many things and it fails at all of them as a result. At the foundation of PM 1.0 practices is the ideology of a meritocracy and paradigms rooted in standard economic and psychological theories. While these theories were adequate explanations for motivation and behavior in the 19th and 20th centuries, they fail to account for the increasingly complex nature of organizations and their environments today. Despite the ineffectiveness of PM 1.0, there are powerful forces holding it in place. Information on rigorous, evidence-based recommendations is crowded out by benchmarking information, case studies of high-profile companies, and other propaganda coming from HR think tanks and consultants. Business leaders and HR professionals learn about common practices not effective practices. This book confronts the traditional dogma, paradigms, and practices of PM 1.0 and holds them up to the bright light of scientific scrutiny. It encourages HR professionals and business leaders to abandon PM 1.0 and it offers up a more appropriate purpose for PM, alternative paradigms to guide them and practical solutions that are better supported by scientific research, referred to as “Next Generation Performance Management” or PM 2.0 for short.
Performance Evaluation, Prediction and Visualization of Parallel Systems
Author: Xingfu Wu
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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.
Publisher: Springer Science & Business Media
ISBN: 1461551471
Category : Computers
Languages : en
Pages : 336
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.
Fundamentals of Performance Evaluation of Computer and Telecommunication Systems
Author: Mohammed S. Obaidat
Publisher: John Wiley & Sons
ISBN: 0470567198
Category : Computers
Languages : en
Pages : 477
Book Description
The only singular, all-encompassing textbook on state-of-the-art technical performance evaluation Fundamentals of Performance Evaluation of Computer and Telecommunication Systems uniquely presents all techniques of performance evaluation of computers systems, communication networks, and telecommunications in a balanced manner. Written by the renowned Professor Mohammad S. Obaidat and his coauthor Professor Noureddine Boudriga, it is also the only resource to treat computer and telecommunication systems as inseparable issues. The authors explain the basic concepts of performance evaluation, applications, performance evaluation metrics, workload types, benchmarking, and characterization of workload. This is followed by a review of the basics of probability theory, and then, the main techniques for performance evaluation namely measurement, simulation, and analytic modeling with case studies and examples. Contains the practical and applicable knowledge necessary for a successful performance evaluation in a balanced approach Reviews measurement tools, benchmark programs, design of experiments, traffic models, basics of queueing theory, and operational and mean value analysis Covers the techniques for validation and verification of simulation as well as random number generation, random variate generation, and testing with examples Features numerous examples and case studies, as well as exercises and problems for use as homework or programming assignments Fundamentals of Performance Evaluation of Computer and Telecommunication Systems is an ideal textbook for graduate students in computer science, electrical engineering, computer engineering, and information sciences, technology, and systems. It is also an excellent reference for practicing engineers and scientists.
Publisher: John Wiley & Sons
ISBN: 0470567198
Category : Computers
Languages : en
Pages : 477
Book Description
The only singular, all-encompassing textbook on state-of-the-art technical performance evaluation Fundamentals of Performance Evaluation of Computer and Telecommunication Systems uniquely presents all techniques of performance evaluation of computers systems, communication networks, and telecommunications in a balanced manner. Written by the renowned Professor Mohammad S. Obaidat and his coauthor Professor Noureddine Boudriga, it is also the only resource to treat computer and telecommunication systems as inseparable issues. The authors explain the basic concepts of performance evaluation, applications, performance evaluation metrics, workload types, benchmarking, and characterization of workload. This is followed by a review of the basics of probability theory, and then, the main techniques for performance evaluation namely measurement, simulation, and analytic modeling with case studies and examples. Contains the practical and applicable knowledge necessary for a successful performance evaluation in a balanced approach Reviews measurement tools, benchmark programs, design of experiments, traffic models, basics of queueing theory, and operational and mean value analysis Covers the techniques for validation and verification of simulation as well as random number generation, random variate generation, and testing with examples Features numerous examples and case studies, as well as exercises and problems for use as homework or programming assignments Fundamentals of Performance Evaluation of Computer and Telecommunication Systems is an ideal textbook for graduate students in computer science, electrical engineering, computer engineering, and information sciences, technology, and systems. It is also an excellent reference for practicing engineers and scientists.