Statisitics Engine Built using GPUDigitalLab

It is a statistics engine that is capable of loading big data sets from an MS SQL Server Database or Microsoft Excel and compute a system of equation to simulate multiple linear regression between several data items. It returns a set of equations in a form of an XML file and an image of the fuction graphs.

This project is taking place in close partnership with the Ural's Federal University Physics Department and the Biochemistry Department of Ural's State Medical Academy. The researchers of the physics department cooperate with us on a project that uses Density Functional Theory rules to simulate the formation of the atomic structures of chemical substances and calculate the energy that is transferred during the chemical reactions. Our simulation system includes a module that can accurately simulate the behaviour of the fluids in a secluded environment using the Navier-Stokes algorithms. Those 2 components allow us to develop a system that could simulate the processes of drug profucition. Together with the Medical Academy we are involved in a project that is dedicated to establish an accurate mathematical model to compute the biological age of a human based on a set of defined health parameters. This project uses the power of the GPU to split the whole human body into a set of autonomous systems that simoultaneously send their computed data to the system analyzer that uses them to produce the final visualization of the research process. The system data analyzer uses the computerized data analysis engine to compute the mathematical model that will accurately describe the behaviour of the produced data sets.