Clemson University Engagement Goal

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.

Key Contact

Amy Apon, PH.D.

C. Tycho Howle Director, School of Computing
Clemson University

aapon@clemson.edu

Presentations

Presentation

Convert Generalized Neural Network bundle (GNN) to native TensorFlow 2.0

Presentation

Enhancing Performance of Distributed Neural Network with GNN Bundle

Presentation

Nepali NLP Initiative – Winner of the Best Poster Data Analytics Award

Presentation

Use Azure Spot Instance with HPCC Systems for Cost Optimization

Presentation

Leveraging & Evaluating Kubernetes Support on Azure

Tech Talk

Deploying HPCC Systems on Microsoft Azure

Tech Talk

Domain Based Common Words List Using High Dimensional Representation of Words

Tech Talk

Automatically Cluster Your Data with the HPCC Systems Massively Scalable K-Means Machine Learning Bundle

Tech Talk

An Investigation into Time Series Analysis

Tech Talk

Using HPCC Systems Machine Learning to Map Public Record Data Descriptions to Standardized Categories

Tech Talk

Asking the Right Questions with Machine Learning

Tech Talk

Extending the YinYang K-Means Machine Learning Algorithm in ECL

Poster Presentation

Representatives of Latent Dirichlet Allocation Topics Estimated from Data Samples with Application to Common Crawl

Tech Talk

Equivalence Terms for Text Search Bundle

Poster Presentation

Analyzing Clustered Latent Dirichlet Allocation (CDLA)

Poster Presentation

Yinyank K-Means Clustering Algorithm in HPCC Systems

Poster Presentation

Applications of HPCC Systems at Clemson University

Blogs, Interviews and Media Coverage

Blog

Boqiang Li’s 2023 Intern Project

Blog

Narayan Kandel’s 2023 Intern Project

Blog

Ananya Gupta’s 2022 Intern Project

Blog Journal

2022 Internship Experience – Ananya Gupta

Blog

2021 Poster Contest – Roshan Bhandari

Blog

Roshan Bhandari’s 2021 Intern Contribution to the HPCC Systems Open Source Project

Blog Journal

2021 Internship Experience – Roshan Bhandari

Blog

Yash Mishra’s 2020 Intern Contribution to the HPCC Systems Open Source Project

Blog Journal

2020 Internship Experience – Yash Mishra

Blog

Leveraging and evaluating Kubernetes support on Microsoft Azure with the HPCC Systems Cloud Native Platform

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Blog

Deploying HPCC Systems on Microsoft Azure

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Blog

Featuring Farah Al Shanik’s 2018 Poster Presentation

Blue glowing big data in space with particles, computer generated abstract background
Blog

DBSCAB — A Density Based Clustering Method

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Blog

Featuring Lili Xu’s 2016 Intern Project

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Blog

Automatically Cluster your Data with Massively Scalable K-Means

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Interview

10 year anniversary podcast with Lili Xu & Yash Mishra

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Webcast

Interview with Amy Apon

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Videos

Professors and student discuss their work with HPCC Systems

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Webcast

Interview with Lili Xu

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Press Release

LexisNexis supports big data research at Clemson