Reshetnikov Alexander
Education:
Alexander Reshetnikov is a post-graduate student of the Faculty of Computational Mathematics and Cybernetics at Lobachevsky State University of Nizhni Novgorod (UNN). He received his M.Sc. in IT in 2012.
Scientific interests:
- Computer graphics and modeling
- Heterogeneous programming
- Image recognition
Participation in projects:
- Neocortex: visualization, segmentation, 3D-reconstruction of computer tomography and electronical microscopy data
- Geometrical and computing modeling of the brain cells synaptic activity
Magister coursework:
Use heterogeneous computing in models of bio neural networks
The goal of coursework was overview of present models functioning bio neuron networks. 2 models of such functioning were viewed in this work: deterministic (description of every stage with using system of ordinary differential equations) and probability (based on the theory of random processes). The first model was taken as a base. Every stage of such functioning was studied; moreover it was explored on a subject of parallel computing capability. During of coursework execution were offered variants how to speed up difficult stages of modeling using CUDA and OpenCL technologies. Further theme development is related with more detailed analysis one of alternative functioning models (in part probabilistic) and also improving of its quality.
Publications:
- Reshetnikov A. Parallel implementation of the computer tomograms segmentation by the gravity centers method using OpenCL.
Conference Proceedings of the 11th All-Russian conference «High-performance parallel computing on the cluster systems», P. 258-261, 1st-3rd of November, 2011, N. Novgorod, Russia (in Russian).
