## Stability of stored patterns in cellular-neural associative memory

Associative neural memory of the Hopfield type, where each element (neuron) has a restricted amount of connections is considered as a cellular-automaton-like network. The goal of the investigation is to determine the degradation of memory capacity and efficiency of pattern retrieval caused by the decrease of connection number. As a...

## On parallelization of new algorithm for solving systems of linear equations

Solving of large-scale systems of linear algebraic equations, ill-conditioned and non-square systems requires special algorithms which should be suitable for effective implementation in modern multi-processor systems. One of such methods was proposed by A.A. Abramov. This approach is based on consequential projecting of solution to a system of ortogonal vectors...

## Two new cellular pipelined algorithms for computing a sum of products

Two new cellular pipelined algorithms (2D and 3D) for computing a sum of products with a very short multiplication time (six and three steps, respectively) are proposed. The initial data and results are binary signed-digit integers. The design and investigation tool is an experemental computer simulating system (Animating Language Tools)...

## Parallel processing in Siberia

The history of the Siberian researches in parallel processing is surveyed and present project of the Siberian Network Supercomputing Center (SNSC) is considered.

## Associative version of the Gabow algorithm for finding smallest spanning trees with a degree constraint

In this paper by means of an abstract model (the STAR-machine) we describe an associative version of the Gabow algorithm for the degree-restricted problem. We have obtained that on an associative parallel processor this algorithm takes the same time as a minimal spanning tree algorithm. In Appendix the associative algorithm...

## The computing schemes of non-stationary electromagnetic fields FEM modeling in mediums with three-dimensional inhomogeneity

Finite element non-stationary electromagnetic fields modeling technique is proposed. It permits to decrease computing expenses of three-dimensional problem solving. This technique is implemented in program complex TELMA, its efficiency is confirmed by solving significant number of both modeling tasks, and complicated practical problems.