This Lecture Notes volume is based on the "International Workshop on High Performance Transaction Systems" held in the Asilomar Conference Center, September 28-30, 1987. Many of the problems identified during the workshop are liable to determine the future development of transaction systems and distributed high performance systems in general for many years to come. So the organizers of HPTS '87 felt encouraged to collect the papers presented at the workshop in order to make them accessible to a wider audience of interested developers and researchers. Since some of the contributions represented work in progress, the authors agreed to prepare revised and updated versions of their papers for this publication. This accounts for the long delay between the event itself and the publication, but on the other hand it provides the reader with a state-of-the-art account of transaction processing topics. The book is organized according to the major sections of the workshop. In the network section the reader finds an analysis of two of the major "paradigms" in networking, ISO/OSI and SNA, from the perspective of transaction processing. In the next section four different transaction processing and database systems are described: Model 204 - a database management system marketed by Computer Corporation of America, Tandem's NonStop SQL, Citicorp's transaction processing system and ALCS, which basically is a version of TPF running under MVS/XA. The section on architectural issues contains four very different contributions which are fairly representative of the type of problems in transaction systems investigated in the research community. Finally, performance evaluations and system comparisons are presented.

Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, students will begin their careers with an understanding of possible directions for future research and development in HPC, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge, and practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products. This new edition has been fully updated, and has been reorganized and restructured to improve accessibility for undergraduate students while also adding trending content such as machine learning and a new chapter on CUDA. - Covers enabling technologies, system architectures and operating systems, parallel programming languages and algorithms, scientific visualization, correctness and performance debugging tools and methods, GPU accelerators, and big data problems - Provides numerous examples that explore the basics of supercomputing while also providing practical training in the real use of high-end computers - Helps users with informative and practical examples that build knowledge and skills through incremental steps - Features sidebars of background and context to present a live history and culture of this unique field

The key to client/server computing.Transaction processing techniques are deeply ingrained in the fields ofdatabases and operating systems and are used to monitor, control and updateinformation in modern computer systems. This book will show you how large,distributed, heterogeneous computer systems can be made to work reliably.Using transactions as a unifying conceptual framework, the authors show howto build high-performance distributed systems and high-availabilityapplications with finite budgets and risk. The authors provide detailed explanations of why various problems occur aswell as practical, usable techniques for their solution. Throughout the book,examples and techniques are drawn from the most successful commercial andresearch systems. Extensive use of compilable C code fragments demonstratesthe many transaction processing algorithms presented in the book. The bookwill be valuable to anyone interested in implementing distributed systemsor client/server architectures.

High-Performance Computing (HPC) delivers higher computational performance to solve problems in science, engineering and finance. There are various HPC resources available for different needs, ranging from cloud computing– that can be used without much expertise and expense – to more tailored hardware, such as Field-Programmable Gate Arrays (FPGAs) or D-Wave’s quantum computer systems. High-Performance Computing in Finance is the first book that provides a state-of-the-art introduction to HPC for finance, capturing both academically and practically relevant problems.

The financial health of your organization depends on it! Bernie Haffey’s Cutting Through is a comprehensive exploration into the nuances of the key high performance management systems that turn good companies into great ones! SUCCESS BEGINS WITH A SYSTEM! Doctors, mechanics, pilots…. What do all of these professionals have in common? Simple: each operates within the framework of an established set of principles that guides all they do. Just as you wouldn’t build a house by first tacking on a roof, you can’t expect your business to flourish without understanding the underlying mechanisms that drive it. You need a foundation, an order, a system. Cutting Through is the blueprint to discovering and optimizing that system. The ideological quicksand of leadership trial-by-fire is gone. The best businesses of tomorrow will need to be equipped with a robust management system that drives performance from the ground up! How do you get there? Here’s a hint: you can’t intuit it, it’s going to take some work. Keep reading to: Discover the Six Pillars of a High Performance Management System Understand the methodology behind building an effective coalition of in-house ambassadors that will champion your management values and ideals Ascertain the significance of “the first follower” Define and direct your company culture within the framework of your larger HPMS Discover the power of the subtraction, elimination and simplification Understand how some of the world’s leading companies like Ford, Medtronic, Ritz Carlton, IBM, Amazon and many others implemented their own HPMS Learn how pinpoint the Vital Few while incorporating the remainder into a unified, cohesive system Achieve world-class customer, employee and financial results Cutting Through is the comprehensive answer to the question: Why is my business underperforming, and more importantly, what can I do about it? Eliminate, simplify and optimize your internal processes to achieve breakthrough business results!

This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.

Complete guide to understanding automotive ignition systems.

Visualization and analysis tools, techniques, and algorithms have undergone a rapid evolution in recent decades to accommodate explosive growth in data size and complexity and to exploit emerging multi- and many-core computational platforms. High Performance Visualization: Enabling Extreme-Scale Scientific Insight focuses on the subset of scientifi

The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.