Jongse Park
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
11
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPLOS | Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration. | Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park |
| 2026 | ISCA | Accelerator Polymorphism: Transcending Domain-Specific Architectures with Robotics. | Hanyang Xu, Seongryong Oh, Yubin Lee, Ashwin Rohit Alagiri Rajan, Rohan Mahapatra, Om Patil, Yuchuan Li, Jongse Park, Hadi Esmaeilzadeh |
| 2026 | ISPASS | LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure. | Jaehong Cho, Hyunmin Choi, Guseul Heo, Jongse Park |
| 2025 | ISCA | Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization. | Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park |
| 2025 | MICRO | Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving. | Wonung Kim, Yubin Lee, Yoonsung Kim, Jinwoo Hwang, Seongryong Oh, Jiyong Jung, Aziz Huseynov, Woong Gyu Park, Chang Hyun Park, Divya Mahajan, Jongse Park |
| 2025 | MICRO | PyTorchSim: A Comprehensive, Fast, and Accurate NPU Simulation Framework. | Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Geonwoo Park, Hyungkyu Ham, Jeehoon Kang, Jongse Park, Gwangsun Kim |
| 2024 | ASPLOS | 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 |
| 2024 | ASPLOS | 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 |
| 2024 | CVPR | LVS: A Learned Video Storage for Fast and Efficient Video Understanding. | Yunghee Lee, Jongse Park |
| 2024 | ICCD | Interference-Aware DNN Serving on Heterogeneous Processors in Edge Systems. | Yeonjae Kim, Igjae Kim, Kwanghoon Choi, Jeongseob Ahn, Jongse Park, Jaehyuk Huh |
| 2024 | ISCA | 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 |
| 2022 | HPCA | TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit. | Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, Jaehyuk Huh |
| 2022 | ICCD | Supporting Dynamic Translation Granularity for Hybrid Memory Systems. | Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh |
| 2022 | ICCD | Tunable Memory Protection for Secure Neural Processing Units. | Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh |
| 2022 | USENIX | 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 |
| 2022 | USENIX | 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 |
| 2021 | HPCA | Common Counters: Compressed Encryption Counters for Secure GPU Memory. | Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh |
| 2018 | ISCA | 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 |
| 2018 | MICRO | 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 |
| 2017 | MICRO | Scale-out acceleration for machine learning. | Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh |
| 2016 | ASPLOS | AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. | Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh |
| 2016 | HPCA | 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 |
| 2016 | ISCA | Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. | Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh |
| 2016 | MICRO | 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 |
| 2015 | DATE | 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 |
| 2015 | MICRO | Neural acceleration for GPU throughput processors. | Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh |
| 2014 | ISCA | General-purpose code acceleration with limited-precision analog computation. | Rene St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger |
| 2013 | CCGRID | Isolated Mini-domain for Trusted Cloud Computing. | Jaewon Choi, Jongse Park, Jinho Seol, Seungryoul Maeng |
| 2012 | HPDC | Locality-aware dynamic VM reconfiguration on MapReduce clouds. | Jongse Park, DaeWoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng |