Performance Evaluation, Prediction and Visualization of Parallel Systems
Performance Evaluation, Prediction and Visualization of Parallel Systems

Author: Xingfu Wu

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 336

ISBN-13: 1461551471

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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.

An Active Sonar Performance Prediction Model
An Active Sonar Performance Prediction Model

Author: W. H. Watson

Publisher:

Published: 1972

Total Pages: 48

ISBN-13:

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This report examines the problem of developing a high speed, compact performance prediction model for use in estimating operational performance of active, surface ship sonar systems. Such a model must be suitable for use on computers typically available at Navy laboratories and Fleet shore facilities. An active sonar performance prediction model was developed. A concomitant computer program was written in FORTRAN IV and can provide detection outputs for a single system and environment in less than two minutes using a second generation computer, e.g., CDC 1604, IBM 7090, and UNIVAC 1230. This time is reduced by about one-tenth on newer machines, e.g., CDC 6500, IBM 360, and UNIVAC 1108.

Performance prediction of a future SiGe HBT technology using a heterogeneous set of simulation tools and approaches
Performance prediction of a future SiGe HBT technology using a heterogeneous set of simulation tools and approaches

Author: Tommy Rosenbaum

Publisher: BoD – Books on Demand

Published: 2017-03-10

Total Pages: 266

ISBN-13: 3743134268

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Bipolar complementary metal-oxide-semiconductor (BiCMOS) processes can be considered as the most general solution for RF products, as they combine the mature manufacturing tools of CMOS with the speed and drive capabilities of silicon-germanium (SiGe) heterojunction bipolar transistors (HBTs). HBTs in turn are major contenders for partially filling the terahertz gap, which describes the range in which the frequencies generated by transistors and lasers do not overlap (approximately 0.3 THz to 30 THz). To evaluate the capabilities of such future devices, a reliable prediction methodology is desirable. Using a heterogeneous set of simulation tools and approaches allows to achieve this goal successively and is beneficial for troubleshooting. Various scientific fields are combined, such as technology computer-aided design (TCAD), compact modeling and parameter extraction. To create a foundation for the simulation environment and to ensure reproducibility, the used material models of the hydrodynamic and drift-diffusion approaches are introduced in the beginning of this thesis. The physical models are mainly based on literature data of Monte Carlo (MC) or deterministic simulations of the Boltzmann transport equation (BTE). However, the TCAD deck must be calibrated on measurement data too for a reliable performance prediction of HBTs. The corresponding calibration approach is based on measurements of an advanced SiGe HBT technology for which a technology-specific parameter set of the HICUM/L2 compact model is extracted for the high-speed, medium-voltage and high-voltage transistor versions. With the help of the results, one-dimensional transistor characteristics are generated that serve as reference for the doping profile and model calibration. By performing elaborate comparisons between measurement-based reference data and simulations, the thesis advances the state-of-the-art of TCAD-based predictions and proofs the feasibility of the approach. Finally, the performance of a future technology in 28 nm is predicted by applying the heterogeneous methodology. On the basis of the TCAD results, bottlenecks of the technology are identified.

Directed Energy System Performance Prediction
Directed Energy System Performance Prediction

Author: Graham V. Weinberg

Publisher: Artech House

Published: 2023-08-31

Total Pages: 207

ISBN-13: 1685690289

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This book presents a unique and comprehensive introduction to performance prediction of directed energy (DE) systems using mathematical modeling frameworks, with focus on high power radio frequency and high energy laser performance. It provides system designers with a means for predicting DE system performance and measuring the required power levels necessary to neutralize targets including UAVs and other unmanned swarms. The book begins with a systematic and concise overview of DE systems, including its historical roots. You will then learn how to develop effective mathematical models and understand how to use these models to implement safer and efficient use of DE systems in various scenarios. A special section is devoted to examples and attributes of unmanned systems since these are viewed as primary targets suitably disabled by DE systems. There is also an extensive survey of the relevant tools of mathematics and physics for DE systems, together with a series of pertinent references you can follow for further information. The final section of the book outlines potential future research directions that interested researchers are encouraged to pursue. With its exclusive and unmatched coverage of predictive modeling for DE systems and performance, this is an important book for engineers and operators working in the defense industry, including government and private contractors, as well as research practitioners at universities and engineering organizations worldwide working in the field of DE system performance.

Automatic Performance Prediction of Parallel Programs
Automatic Performance Prediction of Parallel Programs

Author: Thomas Fahringer

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 279

ISBN-13: 1461313716

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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.

Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models
Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models

Author: Kusum Deep

Publisher: Springer

Published: 2018-08-26

Total Pages: 282

ISBN-13: 9811308578

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This book presents the latest developments and breakthroughs in fuzzy theory and performance prediction of queuing and reliability models by using the stochastic modeling and optimization theory. The main focus is on analytics that use fuzzy logic, queuing and reliability theory for the performance prediction and optimal design of real-time engineering systems including call centers, telecommunication, manufacturing, service organizations, etc. For the day-to-day as well as industrial queuing situations and reliability prediction of machining parts embedded in computer, communication and manufacturing systems, the book assesses various measures of performance and effectiveness that can provide valuable insights and help arrive at the best decisions with regard to service and engineering systems. In twenty chapters, the book presents both theoretical developments and applications of the fuzzy logic, reliability and queuing models in a diverse range of scenarios. The topics discussed will be of interest to researchers, educators and undergraduate students in the fields of Engineering, Business Management, and the Mathematical Sciences.

Successful Prediction of Product Performance
Successful Prediction of Product Performance

Author: Lev Klyatis

Publisher: SAE International

Published: 2016-09-12

Total Pages: 262

ISBN-13: 0768083125

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The ability to successfully predict industrial product performance during service life provides benefits for producers and users. This book addresses methods to improve product quality, reliability, and durability during the product life cycle, along with methods to avoid costs that can negatively impact profitability plans. The methods presented can be applied to reducing risk in the research and design processes and integration with manufacturing methods to successfully predict product performance. This approach incorporates components that are based on simulations in the laboratory. The results are combined with in-field testing to determine degradation parameters. These approaches result in improvements to product quality, performance, safety, profitability, and customer satisfaction. Among the methods of analyses included are: • Accelerated Reliability Testing (ART) • Accelerated Durability Testing (ADT) • system variability / input variability • engineering risk versus time and expense