One of the main directions to increasing efficiency of computing systems related with making of heterogeneous platform which allow more effectively to use computing resources of conventional processors, graphics processing units and coprocessors based on FPGA for performance of massively-parallel computing oriented tasks. The creation of task-oriented solutions, allowing the user to configure computing technique for solving specific application tasks and giving a chance to quickly and with a low cost to reconfigure the system to another type of task is an actual problem. The domestic computing platform that can simultaneously use modules with different architectures in different configurations to solve a common problem is described in the article. The description and results of the simulation software aimed at solving problems in the field of hydroacoustics and radiolocation in order to implement the joint interaction of computing resources of different architecture and to assess the prospects of further application of the platform in resource-intensive applications are presented in the article.

In the article possibilities of increase of speed for solving a certain class of problems with the help of a profit center created in NIIVK named after М. А. Kartsev. As such capabilities are considered video cards and an optical module InLight256, the dimensions of which allow it to be included in the structure of the profit center. As an example of the use of video cards to improve the speed of implementation of algorithms, an algorithm is considered for finding the shortest coverings of Boolean matrices and further use of the results of this algorithm to find the minimal forms of weakly defined Boolean functions. The article shows that the use of a video card for the class of problems under consideration makes it possible to obtain a gain in time several times. The optical module InLight256, developed by the Israeli company Lenslet, is currently the only optical processor that is commercially available, which can be purchased. The module is equipped with software and is compatible with modern electronic modules. The article lists the advantages of optical modules in comparison with electronic modules and the main characteristics of the above module. In addition, the possible areas of application of the module for both peaceful purposes and military are indicated.

The  article  presents  the  problem  of  detecting  an  earth  layer,  containing  minerals,  describes  the  recognition  algorithms  for  computing devices of a portable type, designed to help the exploration geologist. These devices would be useful to the exploration  geologist at the time of determining the direction of the ridge containing minerals. To solve the problem of finding minerals, it is  proposed to use a universal heterogeneous multiprocessing computing platform (MСP), developed in M. A. Kartsev Computing  System Research and Development Institute intended for high‑speed processing of large‑scale data when solving a wide range  of hydroacoustics, radar, geophysics and mineral exploration tasks.

Labor  intensity,  complexity  of  morphology,  the  shortage  of  qualified  specialists  do  not  allow  full  use  of  the  diagnostic  potential  of   microscopic  analysis  of  biomaterials  in  mass  population  surveys.  The  article  discusses  the  technology  of  creating  an  Automatic   Scan  Microscope  Analyzer  of  Oncological  Pathologies  (ASMAOP)  that  uses  neural  network  learning  during  regular  telemedicine   consultations  with  expert  evaluation  of  digital  copies  of  biomaterials  produced  by  a  scanning  microscope.  The  scheme  of  work  of   ASMAOP  in  the  composition  of  a  telemedicine  network,  hardware  solutions  including  platform  for  deep  learning  are  considered.   The  purpose  of  creation  of  ASMAOP  is  to  perform  microscopic  analyses  at  the  level  of  the  experienced  experts  with  a  significant   advantage  in  performance  and  availability.