All seminars will take place via Zoom on Fridays at 11 a.m.
Note: Computer Science seminar talks are restricted to UCI community only. Please make sure you’re logged in to your UCI account before joining the talk, otherwise you won’t be able to join.
Sang-Woo Jun
Assistant Professor, Department of Computer Science
University of California, Irvine
October 5, 2018
11:00am - 12:00pm
Title:
Cheaper, faster computers: Affordable Big Data analytics using hardware accelerators and NVM storage
Abstract:
CPUs are no longer becoming faster at a rate they used to a decade ago, which is a problem because the amount of data to process is exponentially growing. This gap opens up exciting opportunities for systems research, on how to incorporate new technologies like computation accelerators, memory-class storage, and networks to continue performance scaling at an acceptable cost. In this talk, I will present my work on systems using reconfigurable hardware accelerators and flash storage. I will also present how a PC with a custom storage device was able to outperform a small server cluster in graph analytics and other applications.
Speaker Bio:
Sang-Woo Jun is an Assistant Professor in the Department of Computer Science at the University of California, Irvine. His research interest is in more efficient, high-performance computer systems for Big Data analytics, aiming to boost performance and lower cost using FPGA-based application-specific hardware acceleration and NVM (non-volatile memory) storage. Sang-Woo has designed systems have improved performance at 1/10 cost and power consumption, on applications including graph analytics and bioinformatics