David Ojika, Doctoral Student at University of Florida

David Ojika

Doctoral Student, University of Florida

David Ojika is an Intel-fellowship recipient and a 4th-year doctoral student of computer engineering at the University of Florida. He completed several internships at Intel, working on near-memory accelerators and on heterogeneous platforms (Xeon+FPGA). Working with Dr. Darin Acosta and Dr. Ann Gordon-Ross, his research focuses on the intersection of computing and physics by investigating machine learning systems that enhance the study of high-energy particles (such as muons) at CERN. In the summer of 2017, David will join Microsoft’s AI & Research group to embark on an internship with the group’s Project Catapult.


Speeding Up Spark with Data Compression on Xeon+FPGA

Data compression is a key aspect in big data processing frameworks, such as Apache Hadoop and Spark, because compression enables the size of the input, shuffle and output data to be reduced, thus potentially speeding… Read more