The creation of parallel computing systems required the development of a new approach for making of appropriate computational algorithms. For this reason, new ideas and approaches are emerging in computational mathematics, which is aimed towards the development of new methods for realizing numerical experiments based on the computations parallelization.
Published in Chapter:
Design Features of High-Performance Multiprocessor Computing Systems
Gennady Shvachych (National Metallurgical Academy of Ukraine, Ukraine), Nina Rizun (Gdansk University of Technology, Poland), Olena Kholod (Alfred Nobel University, Ukraine), Olena Ivaschenko (National Metallurgical Academy of Ukraine, Ukraine), and Volodymyr Busygin (National Metallurgical Academy of Ukraine, Ukraine)
Copyright: © 2019
|Pages: 21
DOI: 10.4018/978-1-5225-7588-7.ch015
Abstract
The chapter analyzes the ways of development of high-performance computing systems. It is shown that a real breakthrough in mastering parallel computing technologies can be achieved by developing an additional (actually basic) level in the hierarchy of hardware capacities of multiprocessor computing systems of MPP-architecture, the personal computing clusters. Thus, it is proposed to create the foundation of the hardware pyramid of parallel computing technology in the form of personal computing clusters. It is shown that on the basis of multiprocessor information systems processing and control, the control systems are implemented for many industries: space industry, aviation, air defense and anti-missile defense systems, and many others. However, the production of multiprocessor information processing and control systems is hampered by high cost at all its stages. As a result, the total cost of the system often makes it as an inaccessible tool. The use of modern multiprocessor cluster systems would reduce the costs of its production.