Understand how to deploy, monitor and tune data-intensive systems.
Big Data research at Clemson University includes the development of computational science applications, evaluation of software and hardware infrastructure systems to support Big Data, and design and development of data analytics platforms. We are proud to have Clemson University as one of our long-time academic partners and continue to support their use of HPCC Systems on several big data analytics projects through their Data Intensive Computing Ecosystems (DICE) lab.
Poster Presentation: Analyzing Clustered Latent Dirichlet Allocation (CLDA)
Poster Presentation: Yinyang K-Means Clustering Algorithm in HPCC Systems
Blog: Roshan Bhandari’s 2021 Intern Contribution to the HPCC Systems Open Source Project
Blog: Yash Mishra’s 2020 Intern Contribution to the HPCC Systems Open Source Project
Press Release: LexisNexis supports big data research at Clemson
Webcast: Interview with Amy Apon
Webcast: Interview with Lili Xu
