The laboratory direction includes a wide range of complex investigations in the technologies of parallel computing and parallel programs construction for MIMD multicomputers.
The academic research project Assembly
System (ASSY) integrates these investigations. The basic goal of ASSY
project is the development of parallel computing technologies and supporting
their Parallel Assembly Programming System (PAPS) common to different
large block multicomputer systems (MCS). The whole parallel program created
in this PAPS is assembled out of ready-made atomic fragments of computations.
Each of them can be executed on at least one processor of the MCS. Executable
code keeps the fragmentation, this provides the parallelization of the
program along the "seams" of assembling. If the volume of atomic fragments
is small enough, then equal workload for each processor element of multicomputer
can be assigned and dynamically re-balanced if necessary.
Chief application area for PAPS now is parallel realization of approximating mathematical models in physics and chemistry. Peculiarity of this area is that the atomic fragments of computation should be very small containing usually the computations inside one cell of approximating mesh only. Therefore, key problem in development of PAPS is the development of excellent algorithms of the whole computation assembling.
The following researches and sub projects are under way:
Actually every group of non procedural facilities can be used to describe some standard (non interpreted) scheme of parallel computations. The necessary semantics to solve some specific problem is defined specifically. As the non interpreted computations are defined, the automatically created target parallel program has ordinarily the same performance as a good "hand-made" program. Our nearest goal in the framework of this project is to accumulate more or less complete library of standard schemes of the parallel computations for the area of numerical computation.
Now we have a good experience in the solution of the problems in the seismic data and image processing, the modeling of the mass natural phenomena with particle-in-cell method, solution of differential equations, quantum chaos.
We are trying to integrate on the basis of the common approach the advantages and achievements of different directions and areas of computer science and programming, in order to implement their opportunities in the diverse PAPSs.