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This project utilizes a series of algorithms, adversarial agents, and simulation tools to study and generate new multicellular organisms; a user interface allows human guidance to tailor desired results.
A Terapixel visualization requires the use of systems that are far larger and more complex than the ordinary computer system. The goal of this investigation is primarily to delve into the matters of software system and hardware performance and operation of supercomputers that run Terapixel visualization applications.
University project where a command line software called Ale was developed. Ale runs molecular dynamics simulations, at lowest effort. It was designed to be user friendly with config-files specifying simulations. The simulations can be run on e.g. supercomputers in parallel to achieve high throughput when simulating material properties.
Parallel programming applications that I've written and launched on supercomputing complex of Moscow State University throughout my studies in the department of Supercomputers and Quantum Informatics
Fotireps is a user-friendly conglomerate of different data processing tools used by the MWA EoR group. Fotireps is made to be highly modularized and robust with each step being runnable in isolation but can also perform standard end to end EoR analysis on MWA observations.
A C++ project to detect mutations on DNA sequence, comparing two DNA samples. This project was built based on a Supercomputing subject and some classic algorithms are used in this project, such as Smith Waterman, Random Local Search and Exaustive Search