Sep 23–26, 2019

Supun Kamburugamuve
Graduate Student and Senior Software Architect, Indiana University

Supun Kamburugamuve is a graduate student at Indiana University and a senior software architect at the Digital Science Center of Indiana University, where he researches big data applications and frameworks. He’s working on high-performance enhancements to big data systems with HPC interconnect such as InfiniBand and Omni-Path. Supun is an elected member of Apache Software Foundation and has contributed to many open source projects including Apache Web Services projects. Previously, Supun worked on middleware systems and was a key member of a WSO2 enterprise service bus (ESB), an open source enterprise integration product widely used by enterprises. He has a PhD in computer science, specializing in high-performance data analytics at Indiana University.

Sessions

4:35pm–5:15pm Thursday, September 26, 2019

Location: 1A 23/24

Bridging the gap between big data computing and high-performance computing

Data Engineering and Architecture

Secondary topics: Data, Analytics, and AI Architecture

Supun Kamburugamuve (Indiana University)

Big data computing and high-performance computing (HPC) evolved over the years as separate paradigms. With the explosion of the data and the demand for machine learning algorithms, these two paradigms increasingly embrace each other for data management and algorithms. Supun Kamburugamuve explores the possibilities and tools available for getting the best of HPC and big data. Read more.