Experiences

Product Engineer
  • Aug. 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, 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
Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander Gerhard Schwing, Hadi Esmaeilzadeh, and Nam Sung Kim
MICRO, 2018 [Paper|Talk]

From Tensors to FPGAs: Accelerating Deep Learning
Hardik Sharma, Jongse Park, Balavinayagam Samynathan, Behnam Robatmili, Shahrzad Mirkhani, and Hadi Esmaeilzadeh
HotChips, 2018 [Paper|Poster|Demo1|Demo2]

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh
ISCA, 2018 [Paper]

Scale-Out Acceleration for Machine Learning
Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, and Hadi Esmaeilzadeh
MICRO, 2016 [Paper|Talk|Lightening]

AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing
Jongse Park, Divya Mahajan, Bradley Thwaites, Emmanuel Amaro, and Hadi Esmaeilzadeh
ASPLOS, 2016 [Paper|Talk|Lightening]

From High-Level Deep Neural Models to FPGAs
Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, and Hadi Esmaeilzadeh
MICRO, 2016 [Paper]

Towards Statistical Guarantees in Controlling Quality Tradeoffs in Approximate Acceleration
Divya Mahajan, Amir Yazdanbaksh, Jongse Park, Bradley Thwaites, and Hadi Esmaeilzadeh
ISCA, 2016 [Paper]

DnnWeaver: From High-Level Deep Network Models to FPGA Acceleration
Hardik Sharma, Jongse Park, Emmanuel Amaro, Bradley Thwaites, Praneetha Kotha, Anmol Gupta, Joon Kyung Kim, Asit Mishra, and Hadi Esmaeilzadeh
CogArch, 2016 [Paper]

Tabla: A Unified Template-based Framework for Accelerating Statistical Machine Learning
Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbaksh, Joon Kyung Kim, and Hadi Esmaeilzadeh
HPCA, 2016 [Paper]

FlexJava: Language Support for Safe and Modular Approximate Programming
Jongse Park, Hadi Esmaeilzadeh, Xin Zhang, Mayur Naik, William Harris
FSE, 2015 [Paper|Talk|Artifact]

Neural Acceleration for GPU Throughput Processors
Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lofti-Kamran, and Hadi Esmaeilzadeh
MICRO, 2015 [Paper]

Axilog: Abstractions for Approximate Hardware Design and Reuse
Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, and Kia Bazargan
IEEE Micro, , special issue on Alternative Computing Designs and Technologies, 2015 [Paper]

Axilog: Language Support for Approximate Hardware Design
Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, and Kia Bazargan
DATE, 2015 [Paper]

General-Purpose Code Acceleration with Limited-Precision Analog Computation
Renée St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, and Doug Burger
ISCA, 2014 [Paper]
Honorable Mention in IEEE Micro Top Picks

Rollbak-Free Value Prediction with Approximate Loads (Short paper)
Bradley Thwaites, Gennady Pekhimenko, Amir Yazdanbakhsh, Jongse Park, Girish Mururu, Hadi Esmaeilzadeh, Onur Mutlu, and Todd Mowry
PACT, 2014 [Paper]

Isolated Mini-domain for Trusted Cloud Computing
Jaewon Choi, Jongse Park, Jinho Seol, and Seungryoul Maeng
CCGrid, 2013 [Paper]

Locality-aware Dynamic VM Reconfiguration on MapReduce Clouds
Jongse Park, Daewoo Lee, Bokyeong Kim, Jaehyuk Huh, and Seungryoul Maeng
HPDC, 2012 [Paper|Talk]

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

Professional Services

Guest Editor for
  • IEEE Micro Special Issue on Machine Learning Acceleration, 2019
Web Chair for
  • HPCA 2020
Reviewer for
  • TC, 2019
  • TOCS, 2019
  • CAL, 2019
  • ISCA, 2018
  • TOSEM, 2017
  • TPDS, 2017
  • JPDC, 2017
  • TVLSI, 2016
  • TCSVT, 2016
  • CAL, 2016
  • TETC, 2016

Contact

  • [first_name].[last_name].pw@gmail.com
  • 1975 West El Camino Real, Mountain View, 94040