A Low Cost Distributed Computing Approach to Pulsar Searches at a Small College
Andrew Cantino, Fronefield Crawford, Saurav Dhital, John P. Dougherty,, Reid Sherman (Haverford College)

TL;DR
This paper presents a cost-effective, distributed Linux cluster built with decommissioned hardware for processing large pulsar survey data, demonstrating its efficiency and scalability in a university setting.
Contribution
Developed a low-cost, scalable distributed processing cluster using existing hardware and simple scripting, enabling large pulsar data analysis at a small college.
Findings
Processed 570 GB of pulsar data in ten weeks
Cluster provided simplicity, efficiency, and scalability
DVD storage proved reliable and inexpensive for raw data
Abstract
We describe a distributed processing cluster of inexpensive Linux machines developed jointly by the Astronomy and Computer Science departments at Haverford College which has been successfully used to search a large volume of data from a recent radio pulsar survey. Analysis of radio pulsar surveys requires significant computational resources to handle the demanding data storage and processing needs. One goal of this project was to explore issues encountered when processing a large amount of pulsar survey data with limited computational resources. This cluster, which was developed and activated in only a few weeks by supervised undergraduate summer research students, used existing decommissioned computers, the campus network, and a script-based, client-oriented, self-scheduled data distribution approach to process the data. This setup provided simplicity, efficiency, and "on-the-fly"…
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Taxonomy
TopicsDistributed and Parallel Computing Systems · Scientific Computing and Data Management
