Hyoukjun Kwon

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 44

Top Topics

Space Exploration

Benchmark Suite

Matrix Multiplication

Top Venues

Publications

Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. CoRR (2024)
Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. CoRR (2024)
Raveesh Garg, Hyoukjun Kwon, Eric Qin, Yu-Hsin Chen, Tushar Krishna, Liangzhen Lai
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. CoRR (2024)
Chakshu Moar, Michael Pellauer, Hyoukjun Kwon
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models. CoRR (2024)
Mohanad Odema, Hyoukjun Kwon, Mohammad Abdullah Al Faruque
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets. CoRR (2023)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. MLSys (2023)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. ASPLOS (4) (2023)
Prasanth Chatarasi, Hyoukjun Kwon, Angshuman Parashar, Michael Pellauer, Tushar Krishna, Vivek Sarkar
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33 (4) (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Sheng-Chun Kao, Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
A Formalism of DNN Accelerator Flexibility. CoRR (2022)
Seah Kim, Hyoukjun Kwon, Jinook Song, Jihyuck Jo, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra
SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. CoRR (2022)
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
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. CoRR (2022)
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CVPR (2022)
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. CoRR (2021)
Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. CoRR (2021)
Hyoukjun Kwon, Liangzhen Lai, Michael Pellauer, Tushar Krishna, Yu-Hsin Chen, Vikas Chandra
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA (2021)
Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR (2021)
Hyoukjun Kwon, Michael Pellauer, Angshuman Parashar, Tushar Krishna
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. IEEE Comput. Archit. Lett. 20 (1) (2021)
Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. ASP-DAC (2021)
Eric Qin, Geonhwa Jeong, William Won, Sheng-Chun Kao, Hyoukjun Kwon, Sudarshan Srinivasan, Dipankar Das, Gordon Euhyun Moon, Sivasankaran Rajamanickam, Tushar Krishna
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS (2021)
Prasanth Chatarasi, Hyoukjun Kwon, Natesh Raina, Saurabh Malik, Vaisakh Haridas, Tushar Krishna, Vivek Sarkar
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. CoRR (2020)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC (2020)
Eric Qin, Ananda Samajdar, Hyoukjun Kwon, Vineet Nadella, Sudarshan Srinivasan, Dipankar Das, Bharat Kaul, Tushar Krishna
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. HPCA (2020)
Robert Guirado, Hyoukjun Kwon, Sergi Abadal, Eduard Alarcón, Tushar Krishna
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. CoRR (2020)
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
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. 28 (11) (2020)
Lei Yang, Zheyu Yan, Meng Li, Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra, Weiwen Jiang, Yiyu Shi
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. CoRR (2020)
Hyoukjun Kwon, Prasanth Chatarasi, Vivek Sarkar, Tushar Krishna, Michael Pellauer, Angshuman Parashar
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro 40 (3) (2020)
Hyoukjun Kwon, Prasanth Chatarasi, Michael Pellauer, Angshuman Parashar, Vivek Sarkar, Tushar Krishna
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. MICRO (2019)
Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. CoRR (2019)
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. ICECS (2019)
Zhongyuan Zhao, Hyoukjun Kwon, Sachit Kuhar, Weiguang Sheng, Zhigang Mao, Tushar Krishna
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. ISPASS (2019)
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
Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. DAC (2019)
Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. CoRR (2019)
Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip. AISTECS@HiPEAC (2018)
Brian Lebiednik, Sergi Abadal, Hyoukjun Kwon, Tushar Krishna
Architecting a Secure Wireless Network-on-Chip. NOCS (2018)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
A Communication-Centric Approach for Designing Flexible DNN Accelerators. IEEE Micro 38 (6) (2018)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. ASPLOS (2018)
Hyoukjun Kwon, Michael Pellauer, Tushar Krishna
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators. CoRR (2018)
Janardhan Rao Doppa, Ryan Gary Kim, Mihailo Isakov, Michel A. Kinsy, Hyoukjun Kwon, Tushar Krishna
Adaptive Manycore Architectures for Big Data Computing. NOCS (2017)
Hyoukjun Kwon, William Harris, Hadi Esmaeilzadeh
Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants. CSF (2017)
Hyoukjun Kwon, Ananda Samajdar, Tushar Krishna
Rethinking NoCs for Spatial Neural Network Accelerators. NOCS (2017)
Hyoukjun Kwon, Tushar Krishna
OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. ISPASS (2017)