SKKU DICL

Data Intensive Computing is a computational paradigm which processes large volumes of data typically terabytes or petabytes in size and typically referred to as big data. SKKU data intensive computing lab conducts innovative system software research primarily focusing on distributed and parallel computing, storage systems, and database systems.

Big Data Processing Framework

We develop Velox, a novel high-performance decentralized big data processing framework. Details about this project can be found at VeloxMR and VeloxDFS

DBMS for Persistent Memory

With the byte-addressability and durability of emerging non-volatile memory, such as spin-transfer torque MRAM (STT-MRAM), ACID principles can be enforced in a more efficient way in DBMS. We develop Eternity, a novel database management system for byte-addressable NVRAM.

High Performance Machine Learning

We explore the opportunity to leverage high performance computing technologies to accelerate distributed machine learning. This project is in its infancy, but will hopefully be one of the main research themes in our lab.