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Hyoukjun Kwon
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2020 – today
- 2024
- [c22]Chakshu Moar, Faraz Tahmasebi, Michael Pellauer, Hyoukjun Kwon:
Characterizing the Accuracy-Efficiency Trade-off of Low-rank Decomposition in Language Models. IISWC 2024: 194-209 - [c21]Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque:
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. MICRO 2024: 565-579 - [i18]Rachid Karami, Hemanth Kota, Sheng-Chun Kao, Hyoukjun Kwon:
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. CoRR abs/2404.11788 (2024) - [i17]Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque:
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. CoRR abs/2405.00790 (2024) - [i16]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 abs/2405.01736 (2024) - [i15]Chakshu Moar, Michael Pellauer, Hyoukjun Kwon:
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models. CoRR abs/2405.06626 (2024) - [i14]Haocheng Xu, Faraz Tahmasebi, Ye Qiao, Hongzheng Tian, Hyoukjun Kwon, Sitao Huang:
Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. CoRR abs/2410.07407 (2024) - 2023
- [c20]Seah Kim
, Hyoukjun Kwon
DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. ASPLOS (4) 2023: 73-86 - [c19]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 - [i13]Mohanad Odema, Hyoukjun Kwon, Mohammad Abdullah Al Faruque:
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets. CoRR abs/2312.09401 (2023) - 2022
- [j7]Sheng-Chun Kao, Hyoukjun Kwon
A Formalism of DNN Accelerator Flexibility. Proc. ACM Meas. Anal. Comput. Syst. 6(2): 41:1-41:23 (2022) - [j6]Prasanth Chatarasi, Hyoukjun Kwon
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. ACM Trans. Archit. Code Optim. 19(1): 6:1-6:26 (2022) - [j5]Gordon Euhyun Moon
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. IEEE Trans. Parallel Distributed Syst. 33(4): 1002-1014 (2022) - [c18]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: 12084-12093 - [c17]Sheng-Chun Kao, Hyoukjun Kwon
A Formalism of DNN Accelerator Flexibility. SIGMETRICS (Abstracts) 2022: 53-54 - [i12]Sheng-Chun Kao, Hyoukjun Kwon
A Formalism of DNN Accelerator Flexibility. CoRR abs/2206.02987 (2022) - [i11]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 abs/2211.08675 (2022) - [i10]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 abs/2212.03414 (2022) - 2021
- [j4]Hyoukjun Kwon
Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. IEEE Comput. Archit. Lett. 20(1): 1-4 (2021) - [c16]Robert Guirado
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. ASP-DAC 2021: 806-812 - [c15]Hyoukjun Kwon
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. HPCA 2021: 71-83 - [c14]Eric Qin, Geonhwa Jeong, William Won
Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. IPDPS 2021: 1014-1024 - [i9]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 abs/2103.10452 (2021) - [i8]Gordon Euhyun Moon, Hyoukjun Kwon, Geonhwa Jeong, Prasanth Chatarasi, Sivasankaran Rajamanickam, Tushar Krishna:
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. CoRR abs/2106.10499 (2021) - [i7]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 abs/2111.01236 (2021) - 2020
- [b2]Hyoukjun Kwon:
Data- and communication-centric approaches to model and design flexible deep neural network accelerators. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [b1]Tushar Krishna, Hyoukjun Kwon
Data Orchestration in Deep Learning Accelerators. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2020, ISBN 978-3-031-00639-5 - [j3]Hyoukjun Kwon
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. IEEE Micro 40(3): 20-29 (2020) - [j2]Jinwoo Kim
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): 2424-2437 (2020) - [c13]Lei Yang, Zheyu Yan
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. DAC 2020: 1-6 - [c12]Eric Qin, Ananda Samajdar, Hyoukjun Kwon
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. HPCA 2020: 58-70 - [i6]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 abs/2002.04116 (2020) - [i5]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 abs/2002.07752 (2020) - [i4]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 abs/2011.14755 (2020)
2010 – 2019
- 2019
- [c11]Jinwoo Kim, Gauthaman Murali
Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. DAC 2019: 178 - [c10]Robert Guirado
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. ICECS 2019: 85-88 - [c9]Zhongyuan Zhao, Hyoukjun Kwon
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. ISPASS 2019: 282-292 - [c8]Hyoukjun Kwon
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. MICRO 2019: 754-768 - [i3]Hyoukjun Kwon, Liangzhen Lai, Tushar Krishna, Vikas Chandra:
HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. CoRR abs/1909.07437 (2019) - [i2]Robert Guirado, Hyoukjun Kwon, Eduard Alarcón, Sergi Abadal, Tushar Krishna:
Understanding the Impact of On-chip Communication on DNN Accelerator Performance. CoRR abs/1912.01664 (2019) - 2018
- [j1]Hyoukjun Kwon
A Communication-Centric Approach for Designing Flexible DNN Accelerators. IEEE Micro 38(6): 25-35 (2018) - [c7]Hyoukjun Kwon
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. ASPLOS 2018: 461-475 - [c6]Brian Lebiednik, Sergi Abadal
Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip. AISTECS@HiPEAC 2018: 2:1-2:4 - [c5]Brian Lebiednik, Sergi Abadal
Architecting a Secure Wireless Network-on-Chip. NOCS 2018: 16:1-16:8 - [i1]Hyoukjun Kwon, Michael Pellauer, Tushar Krishna:
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators. CoRR abs/1805.02566 (2018) - 2017
- [c4]Hyoukjun Kwon
Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants. CSF 2017: 420-435 - [c3]Hyoukjun Kwon
OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. ISPASS 2017: 195-204 - [c2]Hyoukjun Kwon
Rethinking NoCs for Spatial Neural Network Accelerators. NOCS 2017: 19:1-19:8 - [c1]Janardhan Rao Doppa, Ryan Gary Kim
Adaptive Manycore Architectures for Big Data Computing. NOCS 2017: 20:1-20:8
Coauthor Index
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