High Performance Computing (MapReduce and KMeans)
Description
Used parallel programming to solve 2 tasks related to Electrical Energy sector using High Performance Computing
Output
Learned and implemented 2 approaches: MapReduce in matlab Parallel K-Means using Message Passing model in python. Also learned about some information theory concepts like permutation entropy.
Project by
kD tree construction using adaptive split and sort strategy
Description
focuses on speeding up the process of point cloud construction using data structure of kD trees and Radix sort coupled with ROS and Gazebo for input of data points.
Output
Speeding up of feature detection process