Название: Mathematical Theory of Advanced Computing Автор: Wolfgang W. Osterhage
Издательство: Springer Vieweg
Год: 2019 (2020 Edition)
Страниц: 116
Язык: английский
Формат: pdf (true), djvu
Размер: 13.42 MB
This book deals with computer performance by addressing basic preconditions. Besides general considerations about performance, several new approaches are presented. One of them targets memory structures by introducing the possibility of overlapping non-interfering (virtual) address spaces. This approach is based on a newly developed jump transformation between different symbol spaces. Another approach deals with efficiency and accuracy in scientific calculations. Finally the concept of a Neural Relational Data Base Management System is introduced and the performance potential of quantum computers assessed.
This book has to do with performance, but not as a general subject and not in completeness. It is about selected methods and how under certain conditions specific performance aspects can be improved. This means that—contrary to other publications (s. References at the end of the book)—for example considerations concerning process performance do not figure at all. The book is rather technical and partly speculative.
After an introductory chapter, which deals with the basics of computer performance and provides a general overview, there are six chapters dedicated each to specific algorithms and techniques, which may play a role under a performance point of view:
Symbolic Execution (SE)
Search-Based Automated Structural Testing (SBST)
Preservation Numbers as an Instrument of Soft Computing
Jump Transformations
Data Management
Quantum Computers.
SE and SBST are established methods in automatic testing of complex software. They are relevant to ensure and optimize performance during extensive tests. The concept of Preservation Numbers constitutes a new approach in soft computing and could be used in complex mathematical applications, for example for numerical modeling or simulations in the technical-scientific area. Jump Transformations present again a new algorithm, which may enable to generate overlapping numerical spaces on the basis of transformation boundaries, possible to be applied in the design of main memories to create competing address spaces within one and the same memory for example.
In the chapter about Data Management it is proposed to combine advanced data management techniques with artificial neural network technology. Finally the concept of quantum computers and first realization attempts are introduced against the backdrop of an intelligence definition culminating in the speculation, whether quantum systems as such carry intelligence at all.
The Content:
Computer Performance
Test Automatisation
Jump Transfomations
Efficiency, Accuracy and Preservation Numbers
Neural Data Base Management Systems
Quantum Computer
The Target Groups:
Computer Experts
Mathematicians
Computer Architects
Test Manager
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