Architectures and Software Frameworks for Data Analytics Applications
Seoul National University
Oracle Fellowship Recipient
Oracle Principal Investigator
Sungpack Hong, Director, Research And Advanced Development
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.