Architectures and Software Frameworks for Data Analytics Applications

Project

Architectures and Software Frameworks for Data Analytics Applications

Principal Investigator

Kiyoung Choi

Seoul National University

Oracle Fellowship Recipient

Junwhan Ahn

Oracle Principal Investigator

Sungpack Hong, Senior Research Director

Summary

With the advent of big data era, it has become even more important to make data processing systems optimized for data-intensive workloads. However, creating such a system is very challenging due to (a) the diverging gap between computation speed and data access speed, and (b) heterogeneity of computation platforms specialized for certain data-intensive workloads.
 
Our proposal has two main components. First, we aim to explore heterogeneous hardware architectures for efficient processing of data-intensive workloads. Second, we aim to devise a good software abstraction model that provides an easy way to describe complex data analytics workloads yet being able to aggressively optimize their implementations in a target-(in)dependent manner.