A data pipeline was built, that takes a document as an input and uses Apache Spark MapReduce and Machine Learning libraries to classify in one of the topics – Business, Sports, Politics and Technology

Exploratory data analysis and visualization using Hadoop MapReduce and d3.js

A prototype web application is developed using VueJs. Data collected from Wunderground API.

Implement efficient C++ / OpenMP parallel prefix operation. We make two assumptions: first, the number of input elements is much larger than the number of available processors, second, the number o…

Implemented an algorithm using large-star and small-star operations on a large undirected graph to find the connected component label for every vertex using Python / Apache Spark. It is assumed tha…

Implemented an efficient C++/CUDA program for fast computing of Gaussian kernel density estimate using stencil computation in GPGPU architecture of an input vector that exceeds the capacity of sing…

An algorithm was Implemented using opportunistic pointer jumping and tree hanging technique to find the number of connected components in a large un-directed graph using C++/MPI. It is assumed that…