C. Chelmis

We propose a single-FPGA based design to accelerate SSSP for massive graphs. Expand

In this paper, we propose a novel design for large-scale graph processing on FPGA. Expand

We present an FPGA implementation of the classic PageRank algorithm. Expand

We explore novel representations of time-series data for BigData analytics, and propose a clustering technique for determining natural segmentation of customers and identification of temporal consumption patterns. Expand

This paper presents a comprehensive study of the state of the art in Social Networking Analysis and examines the impact of content analysis and semantics in social networking analysis research. Expand

Sorting is a key kernel in numerous big data application including database operations, graphs and text analytics. Expand

The study of information dissemination on a social network has gained significant importance with the rise of social media. Expand

We study the effect of organizational hierarchy in adopting a new microblogging service at the workplace. Expand

A feasibility analysis of very-short-term prediction of electricity consumption for D2R over a diverse, large-scale dataset that includes both small residential customers and large buildings. Expand

We present a generalized, analytical model of influence in social networks that captures social influence at various levels of granularity, ranging from pairwise influence, to local neighborhood, to the general population, and external events. Expand