Jongse Park

68 papers A* 15A 2B 4C 3Journal 36Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
LLMServingSim 2.0: A Unified Simulator for Heterogeneous and Disaggregated LLM Serving Infrastructure.
CoRR
Jaehong Cho, Hyunmin Choi, Guseul Heo, Jongse Park
2026 — conf
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration.
ASPLOS (2)
Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park
2026 J jnl
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs.
IEEE Comput. Archit. Lett.
Jinwoo Hwang, Yeongmin Hwang, Tadiwos Meaza, Hyeonbin Bae, Jongse Park
2026 J jnl
Understanding the Performance Behaviors of End-to-End Protein Design Pipelines on GPUs.
CoRR
Jinwoo Hwang, Yeongmin Hwang, Tadiwos Meaza, Hyeonbin Bae, Jongse Park
2025 J jnl
Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications.
CoRR
Seonho Lee, Jihwan Oh, Junkyum Kim, Seokjin Go, Jongse Park, Divya Mahajan
2025 J jnl
Cocoon: A System Architecture for Differentially Private Training with Correlated Noises.
CoRR
Donghwan Kim, Xin Gu, Jinho Baek, Timothy Lo, Younghoon Min, Kwangsik Shin, Jongryool Kim, Jongse Park, Kiwan Maeng
2025 J jnl
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse.
CoRR
Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park
2025 J jnl
Déjà Vu: Efficient Video-Language Query Engine with Learning-based Inter-Frame Computation Reuse.
Proc. VLDB Endow.
Jinwoo Hwang, Daeun Kim, Sangyeop Lee, Yoonsung Kim, Guseul Heo, Hojoon Kim, Yunseok Jeong, Tadiwos Meaza, Eunhyeok Park, Jeongseob Ahn, Jongse Park
2025 J jnl
LLMServingSim2.0: A Unified Simulator for Heterogeneous Hardware and Serving Techniques in LLM Infrastructure.
IEEE Comput. Archit. Lett.
Jaehong Cho, Hyunmin Choi, Jongse Park
2025 J jnl
LLMServingSim2.0: A Unified Simulator for Heterogeneous Hardware and Serving Techniques in LLM Infrastructure.
CoRR
Jaehong Cho, Hyunmin Choi, Jongse Park
2025 J jnl
MixDiT: Accelerating Image Diffusion Transformer Inference With Mixed-Precision MX Quantization.
IEEE Comput. Archit. Lett.
Daeun Kim, Jinwoo Hwang, Changhun Oh, Jongse Park
2025 J jnl
MixDiT: Accelerating Image Diffusion Transformer Inference with Mixed-Precision MX Quantization.
CoRR
Daeun Kim, Jinwoo Hwang, Changhun Oh, Jongse Park
2025 J jnl
Neo: Real-Time On-Device 3D Gaussian Splatting with Reuse-and-Update Sorting Acceleration.
CoRR
Changhun Oh, Seongryong Oh, Jinwoo Hwang, Yoonsung Kim, Hardik Sharma, Jongse Park
2025 A* conf
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
ISCA
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 J jnl
Oaken: Fast and Efficient LLM Serving with Online-Offline Hybrid KV Cache Quantization.
CoRR
Minsu Kim, Seongmin Hong, Ryeowook Ko, Soongyu Choi, Hunjong Lee, Junsoo Kim, Joo-Young Kim, Jongse Park
2025 A* conf
Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving.
MICRO
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 J jnl
Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving.
CoRR
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 A* conf
PyTorchSim: A Comprehensive, Fast, and Accurate NPU Simulation Framework.
MICRO
Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Geonwoo Park, Hyungkyu Ham, Jeehoon Kang, Jongse Park, Gwangsun Kim
2024 J jnl
A Latency Processing Unit: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
IEEE Micro
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 J jnl
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training.
CoRR
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024 J jnl
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training.
Proc. VLDB Endow.
Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park
2024 J jnl
Cerberus: Triple Mode Acceleration of Sparse Matrix and Vector Multiplication.
ACM Trans. Archit. Code Optim.
Soojin Hwang, Daehyeon Baek, Jongse Park, Jaehyuk Huh
2024 A* conf
DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.
ISCA
Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park
2024 J jnl
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics.
CoRR
Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park
2024 J jnl
Hardware-hardened Sandbox Enclaves for Trusted Serverless Computing.
ACM Trans. Archit. Code Optim.
Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh
2024 C conf
Interference-Aware DNN Serving on Heterogeneous Processors in Edge Systems.
ICCD
Yeonjae Kim, Igjae Kim, Kwanghoon Choi, Jeongseob Ahn, Jongse Park, Jaehyuk Huh
2024 — conf
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale.
IISWC
Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park
2024 J jnl
LLMServingSim: A HW/SW Co-Simulation Infrastructure for LLM Inference Serving at Scale.
CoRR
Jaehong Cho, Minsu Kim, Hyunmin Choi, Guseul Heo, Jongse Park
2024 J jnl
LPU: A Latency-Optimized and Highly Scalable Processor for Large Language Model Inference.
CoRR
Seungjae Moon, Jung-Hoon Kim, Junsoo Kim, Seongmin Hong, Junseo Cha, Minsu Kim, Sukbin Lim, Gyubin Choi, Dongjin Seo, Jongho Kim, Hunjong Lee, Hyunjun Park, Ryeowook Ko, Soongyu Choi, Jongse Park, Jinwon Lee, Joo-Young Kim
2024 — conf
LVS: A Learned Video Storage for Fast and Efficient Video Understanding.
CVPR Workshops
Yunghee Lee, Jongse Park
2024 — conf
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing.
ASPLOS (3)
Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park
2024 J jnl
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing.
CoRR
Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park
2024 J jnl
ONNXim: A Fast, Cycle-Level Multi-Core NPU Simulator.
IEEE Comput. Archit. Lett.
Hyungkyu Ham, Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Guseul Heo, Sangyeop Lee, Jongse Park, Gwangsun Kim
2024 J jnl
ONNXim: A Fast, Cycle-level Multi-core NPU Simulator.
CoRR
Hyungkyu Ham, Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Guseul Heo, Sangyeop Lee, Jongse Park, Gwangsun Kim
2024 — conf
Tandem Processor: Grappling with Emerging Operators in Neural Networks.
ASPLOS (2)
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
2023 J jnl
FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support.
IEEE Trans. Computers
Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung
2023 J jnl
HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization.
IEEE Comput. Archit. Lett.
Seonho Lee, Ranggi Hwang, Jongse Park, Minsoo Rhu
2022 — conf
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
USENIX ATC
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2022 J jnl
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics.
CoRR
Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park
2022 J jnl
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support.
CoRR
Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung
2022 — conf
Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing.
USENIX ATC
Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh
2022 C conf
Supporting Dynamic Translation Granularity for Hybrid Memory Systems.
ICCD
Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh
2022 A* conf
TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit.
HPCA
Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, Jaehyuk Huh
2022 C conf
Tunable Memory Protection for Secure Neural Processing Units.
ICCD
Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh
2022 J jnl
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.
IEEE Micro
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
2021 A* conf
Common Counters: Compressed Encryption Counters for Secure GPU Memory.
HPCA
Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh
2021 J jnl
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning.
CoRR
Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh
2021 J jnl
SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms.
ACM Trans. Archit. Code Optim.
Wonik Seo, Sanghoon Cha, Yeonjae Kim, Jaehyuk Huh, Jongse Park
2021 J jnl
Stockade: Hardware Hardening for Distributed Trusted Sandboxes.
CoRR
Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh
2020 B conf
Decoupled Address Translation for Heterogeneous Memory Systems.
PACT
Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh
2020 B conf
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic.
PACT
Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh
2019 J jnl
Machine Learning Acceleration.
IEEE Micro
Hadi Esmaeilzadeh, Jongse Park
2018 A* conf
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks.
MICRO
Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim
2018 A* conf
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network.
ISCA
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh
2017 J jnl
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.
CoRR
Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh
2017 A* conf
Scale-out acceleration for machine learning.
MICRO
Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh
2016 A* conf
AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing.
ASPLOS
Jongse Park, Emmanuel Amaro, Divya Mahajan, Bradley Thwaites, Hadi Esmaeilzadeh
2016 A* conf
From high-level deep neural models to FPGAs.
MICRO
Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh
2016 A* conf
TABLA: A unified template-based framework for accelerating statistical machine learning.
HPCA
Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh
2016 A* conf
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration.
ISCA
Divya Mahajan, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh
2015 J jnl
Axilog: Abstractions for Approximate Hardware Design and Reuse.
IEEE Micro
Divya Mahajan, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan
2015 A conf
Axilog: language support for approximate hardware design.
DATE
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 — conf
FlexJava: language support for safe and modular approximate programming.
ESEC/SIGSOFT FSE
Jongse Park, Hadi Esmaeilzadeh, Xin Zhang, Mayur Naik, William Harris
2015 A* conf
Neural acceleration for GPU throughput processors.
MICRO
Amir Yazdanbakhsh, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh
2014 A* conf
General-purpose code acceleration with limited-precision analog computation.
ISCA
Renée St. Amant, Amir Yazdanbakhsh, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger
2014 B conf
Rollback-free value prediction with approximate loads.
PACT
Bradley Thwaites, Gennady Pekhimenko, Hadi Esmaeilzadeh, Amir Yazdanbakhsh, Onur Mutlu, Jongse Park, Girish Mururu, Todd C. Mowry
2013 B conf
Isolated Mini-domain for Trusted Cloud Computing.
CCGRID
Jaewon Choi, Jongse Park, Jinho Seol, Seungryoul Maeng
2012 A conf
Locality-aware dynamic VM reconfiguration on MapReduce clouds.
HPDC
Jongse Park, Daewoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng