Hojin's Homepage

I am a second year Ph.D. student in the Computer Science Department at Carnegie Mellon University and fortunate to be co-advised by Prof. Greg Ganger and Prof. George Amvrosiadis. I am broadly interested in distributed systems and currently working on a project trying to find a cost-efficient configuration of cloud storage resources on the public cloud for the given user-defined performance requirements.

Before I came to CMU, I was an undergraduate at Seoul National University where I worked with Prof. Byung-Gon Chun on distributed machine learning systems. Please check out the Publications section if you would like to know more about my previous research.

Education

Carnegie Mellon University

Ph.D. student in Computer Science (2019 - Present.)

Seoul National University

B.S. in Electrical and Computer Engineering (2013 - 2018)

Publications

More IOPS for Less: Exploiting Burstable Storage in Public Clouds

Hojin Park, Gregory R. Ganger, George Amvrosiadis

HotCloud 2020, July 2020 [ ]

Automating System Configuration of Distributed Machine Learning

Woo-Yeon Lee, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Joo Yeon Kim, Ho Jin Park, Beomyeol Jeon, Wonwook Song, Gunhee Kim, Markus Weimer, Brian Cho, Byung-Gon Chun

ICDCS 2019, July 2019 [ , ]

Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks

Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun

EuroSys 2019, March 2019 [ , ]

Auto-Parallelizing Deep Learning for Multi-machine, Multi-GPU Environments

Soojeong Kim, Eunji Jeong, Joo Seong Jeong, Gyeong-In Yu, Hojin Park, Byung-Gon Chun

Workshop on AI Systems at SOSP 2017, October 2017[ , ]