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The reconfigurable computational modules in network-centric supercomputer systems

DOI 10.18127/j20729472-201803-09

Keywords:

A.P. Antonov – Ph.D.(Eng.), Associate Professor, Peter The Great St. Petersburg Polytechnic University
E-mail: alexander.antonov.ru@yandex.ru
V.S. Zaborovskij – Dr.Sc.(Eng.), Professor, Director of Institute of Computer Science and Technology, Peter The Great St. Petersburg Polytechnic University
E-mail: vlad2tu@yandex.ru
I.O. Kiselev – Post-graduate Student, Peter The Great St. Petersburg Polytechnic University
E-mail: kio.93@mail.ru


The requirements to modern supercomputer systems get tougher each year. The most significant values are: performance to power consumption rate (TFlops/Wt), effective performance, i.e. actual performance to peak performance rate. In addition, data transfer within computational unit without host computer management is required. Paper shows how reconfigurable computers allow to increase the effectiveness of supercomputer systems in order to suit those requirements. Besides, we offer and justify an idea of «artificial intelligence», that implements the procedure of profiling the executing programs and automatically reconfigures the hardware architecture to fit the exact algorithm. This approach can increase supercomputer system parameters by an order of magnitude. Paper also shows a custom-designed reconfigurable platform for high performance computing. The solution of these problems will allow creating a prototype of a self-adjusting hybrid cluster system that will become part of the instrumental cloud environment of the «Politehnicheskiy» SCC.

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