Changho Hwang

Ph.D. Candidate @ School of Electrical Engineering, KAIST

Room 820, N1 ITC-Building

291 Daehang-no, Yuseong-gu, Daejeon 305-701, Republic of Korea


Graduate student at KAIST, studying high-performance networked systems and deep learning. Working in Networked & Distributed Computing Systems Lab (NDSL) with my advisor, Prof. KyoungSoo Park, since Dec 2015.

Research Interest

Systems support for deep learning, scalable networked systems, system performance optimization


Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

Ph.D. student, Electrical Engineering

Advisor: KyoungSoo Park
Feb 2017 —

M.S. student, Electrical Engineering

Advisor: KyoungSoo Park
Feb 2016 — Jan 2017

B.S., Electrical Engineering (major) and Computer Science (minor)

Feb 2012 — Jan 2016

Research Projects

CoDDL Project

May 2017 —

Cloud coordinator for distributed deep learning.

Confident Multiple Choice Learning

Aug 2016 — Mar 2017

Efficient ensemble method for DNN classifiers that leverages multiple specializer models.
Open Source

APUNet Project

Jan 2015 — Dec 2015

High-performance packet processor accelerated by an integrated GPU.


Confident Multiple Choice Learning

Kimin Lee, Changho Hwang, KyoungSoo Park, and Jinwoo Shin

In Proceedings of the 34th International Conference on Machine Learning (ICML)

Sydney, Austrailia, August 2017

APUNet: Revitalizing GPU as Packet Processing Accelerator

Younghwan Go, Muhammad Jamshed, YoungGyoun Moon, Changho Hwang, and KyoungSoo Park

In Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI)

Boston, MA, March 2017


  • C/C++
  • Unix/GNU Linux
  • Python
  • PyTorch
  • CUDA
  • OpenCL
  • TensorFlow
  • LaTeX

Changho Hwang —