Jongse Park

I will be joining Korea Advanced Institute of Science and Technology (KAIST) as an assitant professor! I am very much looking forward to working with talented students on exciting projects. If you're interested in joining my research group, please apply to the graduate program of School of Computing at KAIST, and contact me via email introducing yourself and your goals in graduate study.

Curriculum Vitae
Google Scholar
Research Statement
Teaching Statement

Research Interest

Computer Architecture
Specialized Systems for Machine Learning
Edge-to-Cloud Computing
Distributed Systems
Approximate Computing

Experiences

Product Engineer

August. 2018 - present: Deep Learning Acceleration Solution Architect, Bigstream Solution, Inc.

Research Assistant

Jan. 2018 - Aug. 2018: Visiting Researcher, ACT Lab, CSE, UCSD
Aug. 2013 - Aug. 2018: Graduate Research Assistant, ACT Lab, CoC, GaTech
Mar. 2010 - Jul. 2013: Graduate Research Assistant, Computer Architecture Lab, CS, KAIST

Research Intern

May 2017 - Aug. 2017: Summer Intern, Architecture Research Group (ARG), NVIDIA Research
Jan. 2016 - May 2016: Spring Intern, Catapult team, Microsoft Research

Teaching Assistant

2016.Fall: CS3220 Processor Design
2014.Fall: CS3220 Processor Design
2014.Spring: CS8803 ACT (Alternative Computing Technology)
2011.Spring: CS211 Digital System and Lab
2010.Fall: CS310 Embedded Computer Systems

Publications

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks

Y. Li, J. Park, M. Alian, Y. Yuan, Q. Zheng, P. Pan, R. Wang, A. Schwing, H. Esmaeilzadeh, N. Kim

MICRO

, 2018. [Paper|Talk]

From Tensors to FPGAs: Accelerating Deep Learning

H. Sharma, J. Park, B. Samynathan, B. Robatmili, S. Mirkhani, H. Esmaeilzadeh

Hot Chips

, 2018. [Paper|Poster|Demo]

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks

H. Sharma, J. Park, N. Suda, L. Lai, B. Chau, V. Chandra, H. Esmaeilzadeh

ISCA

, 2018. [Paper]

Scale-Out Acceleration for Machine Learning

J. Park, H. Sharma, D. Mahajan, J. Kim, P. Olds, H. Esmaeilzadeh

MICRO

, 2017. [Paper|Talk|Lightning]

AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing

J. Park, D. Mahajan, B. Thwaites, E. Amaro, H. Esmaeilzadeh

ASPLOS

, 2016. [Paper|Talk|Lightning]

From High-Level Deep Neural Models to FPGAs

H. Sharma, J. Park, D. Mahajan, E. Amaro, J. Kim, C. Shao, A. Mishra, H. Esmaeilzadeh

MICRO

, 2016. [Paper]

Towards Statistical Guarantees in Controlling Quality Tradeoffs in Approximate Acceleration

D. Mahajan, A. Yazdanbaksh, J. Park, B. Thwaites, H. Esmaeilzadeh

ISCA

, 2016. [Paper]

DnnWeaver: From High-Level Deep Network Models to FPGA Acceleration

H. Sharma, J. Park, E. Amaro, B. Thwaites, P. Kotha, A. Gupta, J. Kim, A. Mishra, H. Esmaeilzadeh

CogArch

in conjunction with ASPLOS, 2016. [Paper]

Tabla: A Unified Template-based Framework for Accelerating Statistical Machine Learning

D. Mahajan, J. Park, E. Amaro, H. Sharma, A. Yazdanbaksh, J. Kim, H. Esmaeilzadeh

HPCA

, 2016. [Paper]

Distinguished Paper Award

FlexJava: Language Support for Safe and Modular Approximate Programming

J. Park, H. Esmaeilzadeh, X. Zhang, M. Naik, W. Harris

FSE

, 2015. [Paper|Artifact|Talk]

Neural Acceleration for GPU Throughput Processors

A. Yazdanbakhsh, J. Park, H. Sharma, P. Lotfi-Kamran, H. Esmaeilzadeh

MICRO

, 2015. [Paper]

Axilog: Abstractions for Approximate Hardware Design and Reuse

D. Mahajan, K. Ramkrishnan, R. Jariwala, A. Yazdanbakhsh, J. Park, B. Thwaites, A. Nagendrakumar, A. Rahimi, H. Esmaeilzadeh, K. Bazargan

IEEE Micro

, special issue on Alternative Computing Designs and Technologies, 2015. [Paper]

Prediction-Based QualityControl for Approximate Accelerators

D. Mahajan, A. Yazdanbakhsh, J. Park, B. Thwaites, H. Esmaeilzadeh

WACAS

in conjunction with ASPLOS, 2015. [Paper]

FlexJava: Language Support for Safe and Modular Approximate Programming (Poster)

J. Park, H. Esmaeilzadeh, X. Zhang, M. Naik, B. Harris

ArchiTECH

, 2015. [Poster]

Best Poster Award

Axilog: Language Support for Approximate Hardware Design

A. Yazdanbakhsh, D. Mahajan, B. Thwaites, J. Park, S. Sethuraman, K. Ramkrishnan, N. Ravindran, R. Jariwala, A. Rahimi

DATE

, 2015. [Paper]

General-Purpose Code Acceleration with Limited-Precision Analog Computation

R. S. Amant, A. Yazdanbakhsh, J. Park, B. Thwaites, H. Esmaeilzadeh, A. Hassibi, L. Ceze, D. Burger

ISCA

, 2014. [Paper]

Honorable Mention in IEEE Micro Top Picks

Rollbak-Free Value Prediction with Approximate Loads (Short paper)

B. Thwaites, G. Pekhimenko, A. Yazdanbakhsh, J. Park G. Mururu, H. Esmaeilzadeh, O. Mutlu, T. Mowry

PACT

, 2014. [Paper]

Expectation-Oriented Framework for Automating Approximate Programming

J. Park, K. Ni, X. Zhang, H. Esmaeilzadeh, M. Naik

WACAS

in conjunction with ASPLOS, 2014. [Paper|Talk]

Methodical Approximate Hardware Design and Reuse

A. Yazdanbakhsh, B. Thwaites, J. Park, H. Esmaeilzadeh

WACAS

in conjunction with ASPLOS, 2014. [Paper]

Toward General-Purpose Code Acceleration with Analog Computation

A. Yazdanbakhsh, R. Amant, B. Thwaites, J. Park, H. Esmaeilzadeh, A. Hassibi, L. Ceze, D. Burger

WACAS

in conjunction with ASPLOS, 2014. [Paper]

Isolated Mini-domain for Trusted Cloud Computing

J. Choi, J. Park, J. Seol, and S. Maeng

CCGRID

, 2013. [Paper]

Locality-aware Dynamic VM Reconfiguration on MapReduce Clouds

J. Park, D. Lee, B. Kim, J. Huh, S. Maeng

HPDC

, 2012. [Paper|Talk]

Education

Ph.D. at College of Computing, Georgia Institute of Technology, Advisor Dr. Hadi Esmaeilzadeh, Aug. 2013 - present

M.S. at Department of Computer Science, KAIST, Advisor Dr. Seungryoul Maeng, Feb. 2010 - Feb. 2012

B.S. at Department of Computer Science and Engineering, Sogang University, Mar. 2004 - Feb. 2010

Honors and Awards

Distinguished paper award, HPCA, 2016

Honorable Mention in IEEE Micro Top Picks, 2015

Kwanjeong Graduate Fellowship, Kwanjeong Educational Foundation, 2013-2017

National Full Scholarship, KAIST, 2010-2012

DMC General Management Track Scholarship, Samsung Electronics Co., Ltd, 2009

Academic Scholarship, Sogang University, 7 semesters

Contacts

Jongse Park

Research Interest

Experiences

Product Engineer

Research Assistant

Research Intern

Teaching Assistant

Publications

Education

Honors and Awards