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Jongse Park
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2020 – today
- 2024
- [j9]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training. Proc. VLDB Endow. 17(8): 1802-1815 (2024) - [j8]Joongun Park
, Seunghyo Kang
, Sanghyeon Lee
, Taehoon Kim
, Jongse Park
, Youngjin Kwon
, Jaehyuk Huh
:
Hardware-hardened Sandbox Enclaves for Trusted Serverless Computing. ACM Trans. Archit. Code Optim. 21(1): 13:1-13:25 (2024) - [j7]Soojin Hwang
, Daehyeon Baek
, Jongse Park
, Jaehyuk Huh
:
Cerberus: Triple Mode Acceleration of Sparse Matrix and Vector Multiplication. ACM Trans. Archit. Code Optim. 21(2): 38 (2024) - [c25]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham
, Gwangsun Kim
, Divya Mahajan
, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. ASPLOS (3) 2024: 722-737 - [c24]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
:
Tandem Processor: Grappling with Emerging Operators in Neural Networks. ASPLOS (2) 2024: 1165-1182 - [c23]Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park:
DACAPO: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. ISCA 2024: 1246-1261 - [i9]Guseul Heo, Sangyeop Lee, Jaehong Cho, Hyunmin Choi, Sanghyeon Lee, Hyungkyu Ham, Gwangsun Kim, Divya Mahajan, Jongse Park:
NeuPIMs: NPU-PIM Heterogeneous Acceleration for Batched LLM Inferencing. CoRR abs/2403.00579 (2024) - [i8]Minsu Kim, Jinwoo Hwang, Guseul Heo, Seiyeon Cho, Divya Mahajan, Jongse Park:
Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training. CoRR abs/2403.11472 (2024) - [i7]Yoonsung Kim, Changhun Oh, Jinwoo Hwang, Wonung Kim, Seongryong Oh, Yubin Lee, Hardik Sharma, Amir Yazdanbakhsh, Jongse Park:
DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics. CoRR abs/2403.14353 (2024) - [i6]Hyungkyu Ham, Wonhyuk Yang, Yunseon Shin, Okkyun Woo, Guseul Heo, Sangyeop Lee, Jongse Park, Gwangsun Kim:
ONNXim: A Fast, Cycle-level Multi-core NPU Simulator. CoRR abs/2406.08051 (2024) - 2023
- [j6]Seonho Lee
, Ranggi Hwang
, Jongse Park
, Minsoo Rhu
:
HAMMER: Hardware-Friendly Approximate Computing for Self-Attention With Mean-Redistribution And Linearization. IEEE Comput. Archit. Lett. 22(1): 13-16 (2023) - [j5]Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park
, Jaeha Kung
:
FlexBlock: A Flexible DNN Training Accelerator With Multi-Mode Block Floating Point Support. IEEE Trans. Computers 72(9): 2522-2535 (2023) - 2022
- [j4]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
:
Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration. IEEE Micro 42(5): 89-98 (2022) - [c22]Sunho Lee, Jungwoo Kim
, Seonjin Na, Jongse Park, Jaehyuk Huh:
TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit. HPCA 2022: 229-243 - [c21]Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh:
Supporting Dynamic Translation Granularity for Hybrid Memory Systems. ICCD 2022: 25-32 - [c20]Sunho Lee, Seonjin Na, Jungwoo Kim
, Jongse Park, Jaehyuk Huh:
Tunable Memory Protection for Secure Neural Processing Units. ICCD 2022: 105-108 - [c19]Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Serving Heterogeneous Machine Learning Models on Multi-GPU Servers with Spatio-Temporal Sharing. USENIX ATC 2022: 199-216 - [c18]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. USENIX ATC 2022: 707-722 - [i5]Seock-Hwan Noh, Jahyun Koo, Seunghyun Lee, Jongse Park, Jaeha Kung
:
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support. CoRR abs/2203.06673 (2022) - [i4]Jinwoo Hwang, Minsu Kim, Daeun Kim, Seungho Nam, Yoonsung Kim, Dohee Kim, Hardik Sharma, Jongse Park:
CoVA: Exploiting Compressed-Domain Analysis to Accelerate Video Analytics. CoRR abs/2207.00588 (2022) - 2021
- [j3]Wonik Seo, Sanghoon Cha, Yeonjae Kim, Jaehyuk Huh, Jongse Park:
SLO-Aware Inference Scheduler for Heterogeneous Processors in Edge Platforms. ACM Trans. Archit. Code Optim. 18(4): 43:1-43:26 (2021) - [c17]Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh:
Common Counters: Compressed Encryption Counters for Secure GPU Memory. HPCA 2021: 1-13 - [i3]Joongun Park, Seunghyo Kang, Sanghyeon Lee, Taehoon Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Stockade: Hardware Hardening for Distributed Trusted Sandboxes. CoRR abs/2108.13922 (2021) - [i2]Seungbeom Choi, Sunho Lee, Yeonjae Kim, Jongse Park, Youngjin Kwon, Jaehyuk Huh:
Multi-model Machine Learning Inference Serving with GPU Spatial Partitioning. CoRR abs/2109.01611 (2021) - 2020
- [c16]Bokyeong Kim, Soojin Hwang, Sanghoon Cha, Chang Hyun Park, Jongse Park, Jaehyuk Huh:
Decoupled Address Translation for Heterogeneous Memory Systems. PACT 2020: 155-156 - [c15]Soroush Ghodrati, Hardik Sharma, Sean Kinzer, Amir Yazdanbakhsh
, Jongse Park, Nam Sung Kim, Doug Burger, Hadi Esmaeilzadeh:
Mixed-Signal Charge-Domain Acceleration of Deep Neural Networks through Interleaved Bit-Partitioned Arithmetic. PACT 2020: 399-411
2010 – 2019
- 2019
- [j2]Hadi Esmaeilzadeh, Jongse Park:
Machine Learning Acceleration. IEEE Micro 39(5): 6-7 (2019) - 2018
- [c14]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Network. ISCA 2018: 764-775 - [c13]Youjie Li, Jongse Park, Mohammad Alian
, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim:
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO 2018: 175-188 - 2017
- [c12]Jongse Park, Hardik Sharma
, Divya Mahajan
, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh:
Scale-out acceleration for machine learning. MICRO 2017: 367-381 - [i1]Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh:
Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks. CoRR abs/1712.01507 (2017) - 2016
- [c11]Jongse Park, Emmanuel Amaro, Divya Mahajan
, Bradley Thwaites, Hadi Esmaeilzadeh:
AxGames: Towards Crowdsourcing Quality Target Determination in Approximate Computing. ASPLOS 2016: 623-636 - [c10]Divya Mahajan
, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh
, Joon Kyung Kim, Hadi Esmaeilzadeh
:
TABLA: A unified template-based framework for accelerating statistical machine learning. HPCA 2016: 14-26 - [c9]Divya Mahajan
, Amir Yazdanbakhsh
, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh:
Towards Statistical Guarantees in Controlling Quality Tradeoffs for Approximate Acceleration. ISCA 2016: 66-77 - [c8]Hardik Sharma, Jongse Park, Divya Mahajan
, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh:
From high-level deep neural models to FPGAs. MICRO 2016: 17:1-17:12 - 2015
- [j1]Divya Mahajan
, Kartik Ramkrishnan, Rudra Jariwala, Amir Yazdanbakhsh
, Jongse Park, Bradley Thwaites, Anandhavel Nagendrakumar, Abbas Rahimi
, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: Abstractions for Approximate Hardware Design and Reuse. IEEE Micro 35(5): 16-30 (2015) - [c7]Amir Yazdanbakhsh, Divya Mahajan, Bradley Thwaites, Jongse Park, Anandhavel Nagendrakumar, Sindhuja Sethuraman, Kartik Ramkrishnan, Nishanthi Ravindran, Rudra Jariwala, Abbas Rahimi, Hadi Esmaeilzadeh, Kia Bazargan:
Axilog: language support for approximate hardware design. DATE 2015: 812-817 - [c6]Amir Yazdanbakhsh
, Jongse Park, Hardik Sharma, Pejman Lotfi-Kamran, Hadi Esmaeilzadeh:
Neural acceleration for GPU throughput processors. MICRO 2015: 482-493 - [c5]Jongse Park, Hadi Esmaeilzadeh, Xin Zhang
, Mayur Naik, William Harris:
FlexJava: language support for safe and modular approximate programming. ESEC/SIGSOFT FSE 2015: 745-757 - 2014
- [c4]Bradley Thwaites, Gennady Pekhimenko, Hadi Esmaeilzadeh, Amir Yazdanbakhsh
, Onur Mutlu, Jongse Park, Girish Mururu, Todd C. Mowry:
Rollback-free value prediction with approximate loads. PACT 2014: 493-494 - [c3]Renée St. Amant, Amir Yazdanbakhsh
, Jongse Park, Bradley Thwaites, Hadi Esmaeilzadeh, Arjang Hassibi, Luis Ceze, Doug Burger:
General-purpose code acceleration with limited-precision analog computation. ISCA 2014: 505-516 - 2013
- [c2]Jaewon Choi, Jongse Park, Jinho Seol, Seungryoul Maeng:
Isolated Mini-domain for Trusted Cloud Computing. CCGRID 2013: 194-195 - 2012
- [c1]Jongse Park, DaeWoo Lee, Bokyeong Kim, Jaehyuk Huh, Seungryoul Maeng:
Locality-aware dynamic VM reconfiguration on MapReduce clouds. HPDC 2012: 27-36
Coauthor Index
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last updated on 2024-08-17 23:40 CEST by the dblp team
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