Примеры использования Computing systems на Английском языке и их переводы на Русский язык
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Colloquial
Usage Computing Systems Websites.
High Performance Computing Systems.
Computing systems for image processing, 134 p.
Convergent and Hyperconvergent Computing Systems.
Programming computing systems and applications.
Infocommunication technologies and computing systems;
Most general-purpose computing systems rely heavily upon interrupts.
Organization of computing in distributed computing systems.
Keywords: information computing systems, macro programming.
Some aspects of data protection in multiprocessor computing systems.
Computation models and computing systems architecture Associated-Professor Morokhovets Yu.E.
The theory of development of large-scale superproductive computing systems.
Tatsiana Hlukhava, senior teacher of Computing Systems and Networks Department.
Two-dimensional packing problems andoptimization in distributed computing systems.
Distributed computing systems, local, global and corporate computer networks.
Heads up"Over-productive parallel computing systems and networks.
Cluster computing systems(using cluster located in MPEI) Senior Lecturer Filatov A.V.
Programming in parallel architecture computing systems» 2 credits/3 ECTS.
The expected results: Mastering the skills of programming in parallel architecture computing systems.
RSC specialists have developed anddeployed two new computing systems with total peak performance over 1.1 Petaflops.
Purpose: studying the basics of programming in parallel architecture computing systems.
Real time computing systems Base Department No.232 of MIREA Moscow State Technical University.
With a cycle of lectures on discipline:"Parallel programming in computing systems of a parallel architecture".
High Performance Computing Systems, HPC or supercomputers is optimum solution to solve certain tasks.
The Application of a Genetic Algorithm to Global Optimization Problem Solving on Parallel and Distributed Computing Systems.
The project has been co-sponsored by the DARPA High Productivity Computing Systems program, the United States Department of Energy and the National Science Foundation.
Revealed are shortages of traditional educational methods of organization parallel computing for high-performance computing systems.
The RTT included the analysis of modern high density computing systems, the equipment and software available at IT market.
Alarm was also raised about restrictions imposed on the export of technology, especially with respect to state-of-the art encryption standards andassociated technologies and computing systems.
Currently, however, these computing systems are not commonly used for physical reasons making a large-dimension hypercube hard to implement in practice.