Hyoukjun Kwon

61 papers A* 10A 3B 4Journal 32Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract).
AAAI
Yian Wang, Ye Qiao, Sitao Huang, Hyoukjun Kwon
2025 J jnl
Characterizing State Space Model (SSM) and SSM-Transformer Hybrid Language Model Performance with Long Context Length.
CoRR
Saptarshi Mitra, Rachid Karami, Haocheng Xu, Sitao Huang, Hyoukjun Kwon
2025 J jnl
D-com: Accelerating Iterative Processing to Enable Low-rank Decomposition of Activations.
CoRR
Faraz Tahmasebi, Michael Pelluer, Hyoukjun Kwon
2025 A* conf
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses.
CVPR
Yongfan Liu, Hyoukjun Kwon
2025 B conf
Exploring Constrained Dataflow Accelerators for Real-Time Multi-Task Multi-Model Ml Workloads.
ISPASS
Jamin Seo, Jianming Tong, Tushar Krishna, Hyoukjun Kwon
2025 J jnl
Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems.
CoRR
Rachid Karami, Rajeev Patwari, Hyoukjun Kwon, Ashish Sirasao
2025 A conf
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception.
DATE
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
2025 J jnl
RAPID-LLM: Resilience-Aware Performance analysis of Infrastructure for Distributed LLM Training and Inference.
CoRR
George Karfakis, Faraz Tahmasebi, Binglu Chen, Lime Yao, Saptarshi Mitra, Tianyue Pan, Hyoukjun Kwon, Puneet Gupta
2025 B conf
Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.
ISPASS
Rachid Karami, Sheng-Chun Kao, Hyoukjun Kwon
2024 J jnl
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models.
CoRR
Chakshu Moar, Michael Pellauer, Hyoukjun Kwon
2024 — conf
Characterizing the Accuracy-Efficiency Trade-off of Low-rank Decomposition in Language Models.
IISWC
Chakshu Moar, Faraz Tahmasebi, Michael Pellauer, Hyoukjun Kwon
2024 J jnl
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses.
CoRR
Yongfan Liu, Hyoukjun Kwon
2024 J jnl
FlexiBit: Fully Flexible Precision Bit-parallel Accelerator Architecture for Arbitrary Mixed Precision AI.
CoRR
Faraz Tahmasebi, Yian Wang, Benji Y. H. Huang, Hyoukjun Kwon
2024 J jnl
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.
CoRR
Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon
2024 J jnl
Optimized Spatial Architecture Mapping Flow for Transformer Accelerators.
CoRR
Haocheng Xu, Faraz Tahmasebi, Ye Qiao, Hongzheng Tian, Hyoukjun Kwon, Sitao Huang
2024 J jnl
Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception.
CoRR
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
2024 J jnl
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects.
CoRR
Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai
2024 A* conf
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators.
MICRO
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
2024 J jnl
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators.
CoRR
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
2023 — conf
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.
ASPLOS (4)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
2023 J jnl
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets.
CoRR
Mohanad Odema, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
2023 — conf
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
MLSys
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2022 — conf
A Formalism of DNN Accelerator Flexibility.
SIGMETRICS (Abstracts)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
CoRR
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
A Formalism of DNN Accelerator Flexibility.
Proc. ACM Meas. Anal. Comput. Syst.
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2022 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
IEEE Trans. Parallel Distributed Syst.
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2022 J jnl
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators.
ACM Trans. Archit. Code Optim.
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
2022 A* conf
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation.
CVPR
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2022 J jnl
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads.
CoRR
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
2022 J jnl
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
CoRR
Hyoukjun Kwon, Krishnakumar Nair, Jamin Seo, Jason Yik, Debabrata Mohapatra, Dongyuan Zhan, Jinook Song, Peter Capak, Peizhao Zhang, Peter Vajda, Colby R. Banbury, Mark Mazumder, Liangzhen Lai, Ashish Sirasao, Tushar Krishna, Harshit Khaitan, Vikas Chandra, Vijay Janapa Reddi
2021 — conf
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package.
ASP-DAC
Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
2021 J jnl
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
CoRR
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
2021 A conf
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
IPDPS
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats.
CoRR
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
2021 J jnl
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators.
IEEE Comput. Archit. Lett.
Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
2021 A* conf
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads.
HPCA
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
2021 J jnl
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation.
CoRR
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
2020 J jnl
Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse.
IEEE Trans. Very Large Scale Integr. Syst.
Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nael Mizanur Rahman, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim
2020 A* conf
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.
DAC
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020 J jnl
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.
CoRR
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
2020 — book
Data Orchestration in Deep Learning Accelerators
Tushar Krishna, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Ananda Samajdar
2020 — —
Data- and communication-centric approaches to model and design flexible deep neural network accelerators.
Hyoukjun Kwon
2020 J jnl
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package.
CoRR
Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
2020 J jnl
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings.
IEEE Micro
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
2020 J jnl
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators.
CoRR
Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar
2020 A* conf
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training.
HPCA
Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna
2019 A* conf
Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse.
DAC
Jinwoo Kim, Gauthaman Murali, Heechun Park, Eric Qin, Hyoukjun Kwon, Venkata Chaitanya Krishna Chekuri, Nihar Dasari, Arvind Singh, Minah Lee, Hakki Mert Torun, Kallol Roy, Madhavan Swaminathan, Saibal Mukhopadhyay, Tushar Krishna, Sung Kyu Lim
2019 J jnl
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices.
CoRR
Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra
2019 A* conf
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach.
MICRO
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
2019 — conf
Understanding the Impact of On-chip Communication on DNN Accelerator Performance.
ICECS
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
2019 J jnl
Understanding the Impact of On-chip Communication on DNN Accelerator Performance.
CoRR
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
2019 B conf
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator.
ISPASS
Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna
2018 J jnl
A Communication-Centric Approach for Designing Flexible DNN Accelerators.
IEEE Micro
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
2018 — conf
Architecting a Secure Wireless Network-on-Chip.
NOCS
Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
2018 A* conf
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects.
ASPLOS
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
2018 J jnl
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators.
CoRR
Hyoukjun Kwon, Michael Pellauer, Tushar Krishna
2018 — conf
Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip.
AISTECS@HiPEAC
Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
2017 — conf
Adaptive Manycore Architectures for Big Data Computing.
NOCS
Janardhan Rao Doppa, Ryan Gary Kim, Mihailo Isakov, Michel A. Kinsy, Hyoukjun Kwon, Tushar Krishna
2017 B conf
OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel.
ISPASS
Hyoukjun Kwon, Tushar Krishna
2017 A conf
Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants.
CSF
Hyoukjun Kwon, William Harris, Hadi Esmaeilzadeh
2017 — conf
Rethinking NoCs for Spatial Neural Network Accelerators.
NOCS
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna