Jongse Park

According to our database, Jongse Park authored at least 36 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hardware-hardened Sandbox Enclaves for Trusted Serverless Computing.

Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh

ACM Trans. Archit. Code Optim., March, 2024

DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.

Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park

CoRR, 2024

Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training.

Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park

CoRR, 2024

NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing.

Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Tandem Processor: Grappling with Emerging Operators in Neural Networks.

Soroush Ghodrati, Sean Kinzer, Hanyang Xu, Rohan Mahapatra, Yoonsung Kim, Byung Hoon Ahn, Dong Kai Wang, Lavanya Karthikeyan, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Hadi Esmaeilzadeh

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support.

Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung

IEEE Trans. Computers, September, 2023

HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization.

Seonho Lee, Ranggi Hwang, Jongse Park, Minsoo Rhu

IEEE Comput. Archit. Lett., 2023

2022

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.

Joon Kyung Kim, Byung Hoon Ahn, Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Brahmendra Reddy Yatham, Shu-Ting Wang, Dohee Kim, Parisa Sarikhani, Babak Mahmoudi, Divya Mahajan, Jongse Park, Hadi Esmaeilzadeh

IEEE Micro, 2022

CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.

Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing.

Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

Tunable Memory Protection for Secure Neural Processing Units.

Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Supporting Dynamic Translation Granularity for Hybrid Memory Systems.

Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit.

Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms.

Wonik Seo, Sanghoon Cha, Yeonjae Kim, Jaehyuk Huh, Jongse Park

ACM Trans. Archit. Code Optim., 2021

Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning.

Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh

CoRR, 2021

Stockade: Hardware Hardening for Distributed Trusted Sandboxes.

Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh

CoRR, 2021

Common Counters: Compressed Encryption Counters for Secure GPU Memory.

Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Decoupled Address Translation for Heterogeneous Memory Systems.

Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.

Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

Machine Learning Acceleration.

Hadi Esmaeilzadeh, Jongse Park

IEEE Micro, 2019

2018

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 G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

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

Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh

Proceedings of the 45th ACM/IEEE Annual International Symposium on Computer Architecture, 2018

2017

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

Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh

CoRR, 2017

Scale-out acceleration for machine learning.

Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2016

From high-level deep neural models to FPGAs.

Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration.

Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

TABLA: A unified template-based framework for accelerating statistical machine learning.

Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing.

Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh

Proceedings of the Twenty-First International Conference on Architectural Support for Programming Languages and Operating Systems, 2016

2015

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, Kia Bazargan

IEEE Micro, 2015

FlexJava: language support for safe and modular approximate programming.

Jongse Park, Hadi Esmaeilzadeh, Xin Zhang, Mayur Naik, William Harris

Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, 2015

Neural acceleration for GPU throughput processors.

Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh

Proceedings of the 48th International Symposium on Microarchitecture, 2015

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, Kia Bazargan

Proceedings of the 2015 Design, Automation & Test in Europe Conference & Exhibition, 2015

2014

General-purpose code acceleration with limited-precision analog computation.

Renée St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger

Proceedings of the ACM/IEEE 41st International Symposium on Computer Architecture, 2014

Rollback-free value prediction with approximate loads.

Bradley Thwaites, Gennady Pekhimenko, Hadi Esmaeilzadeh, Amir Yazdanbakhsh, Onur Mutlu, Jongse Park, Girish Mururu, Todd C. Mowry

Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013

Isolated Mini-domain for Trusted Cloud Computing.

Jaewon Choi, Jongse Park, Jinho Seol, Seungryoul Maeng

Proceedings of the 13th IEEE/ACM International Symposium on Cluster, 2013

2012

Locality-aware dynamic VM reconfiguration on MapReduce clouds.

Jongse Park, DaeWoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng

Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012