Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants. - Hyoukjun Kwon; William Harris; Hadi Esmaeilzadeh (CSF, 2017)

OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel. - Hyoukjun Kwon; Tushar Krishna (ISPASS, 2017)

Adaptive Manycore Architectures for Big Data Computing. - Janardhan Rao Doppa; Ryan Gary Kim; Mihailo Isakov; Michel A. Kinsy; Hyoukjun Kwon; Tushar Krishna (NOCS, 2017)

Rethinking NoCs for Spatial Neural Network Accelerators. - Hyoukjun Kwon; Ananda Samajdar; Tushar Krishna (NOCS, 2017)

MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects. - Hyoukjun Kwon; Ananda Samajdar; Tushar Krishna (ASPLOS, 2018)

Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip. - Brian Lebiednik; Sergi Abadal; Hyoukjun Kwon; Tushar Krishna (AISTECS@HiPEAC, 2018)

Architecting a Secure Wireless Network-on-Chip. - Brian Lebiednik; Sergi Abadal; Hyoukjun Kwon; Tushar Krishna (NOCS, 2018)

MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators. - Hyoukjun Kwon; Michael Pellauer; Tushar Krishna (CoRR, 2018)

A Communication-Centric Approach for Designing Flexible DNN Accelerators. - Hyoukjun Kwon; Ananda Samajdar; Tushar Krishna (IEEE Micro, 2018)

Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse. - Jinwoo Kim; Gauthaman Murali; Heechun Park; Eric Qin 001; Hyoukjun Kwon; Venkata Chaitanya Krishna Chekuri; Nihar Dasari; Arvind Singh; Minah Lee; Hakki Mert Torun; Kallol Roy; Madhavan Swaminathan; et al. (DAC, 2019)

Understanding the Impact of On-chip Communication on DNN Accelerator Performance. - Robert Guirado; Hyoukjun Kwon; Eduard Alarcón; Sergi Abadal; Tushar Krishna (ICECS, 2019)

mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator. - Zhongyuan Zhao 004; Hyoukjun Kwon; Sachit Kuhar; Weiguang Sheng; Zhigang Mao; Tushar Krishna (ISPASS, 2019)

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach. - Hyoukjun Kwon; Prasanth Chatarasi; Michael Pellauer; Angshuman Parashar; Vivek Sarkar; Tushar Krishna (MICRO, 2019)

HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices. - Hyoukjun Kwon; Liangzhen Lai; Tushar Krishna; Vikas Chandra (CoRR, 2019)

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks. - Lei Yang 018; Zheyu Yan; Meng Li 004; Hyoukjun Kwon; Liangzhen Lai; Tushar Krishna; Vikas Chandra; Weiwen Jiang; Yiyu Shi 001 (DAC, 2020)

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training. - Eric Qin 001; Ananda Samajdar; Hyoukjun Kwon; Vineet Nadella; Sudarshan Srinivasan; Dipankar Das 002; Bharat Kaul; Tushar Krishna (HPCA, 2020)

MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators. - Prasanth Chatarasi; Hyoukjun Kwon; Natesh Raina; Saurabh Malik; Vaisakh Haridas; Tushar Krishna; Vivek Sarkar (CoRR, 2020)

MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings. - Hyoukjun Kwon; Prasanth Chatarasi; Vivek Sarkar; Tushar Krishna; Michael Pellauer; Angshuman Parashar (IEEE Micro, 2020)

Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse. - Jinwoo Kim; Gauthaman Murali; Heechun Park; Eric Qin 001; Hyoukjun Kwon; Venkata Chaitanya Krishna Chekuri; Nael Mizanur Rahman; Nihar Dasari; Arvind Singh; Minah Lee; Hakki Mert Torun; Kallol Roy; et al. (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Data- and communication-centric approaches to model and design flexible deep neural network accelerators. - Hyoukjun Kwon (2020)

Data Orchestration in Deep Learning Accelerators - Tushar Krishna; Hyoukjun Kwon; Angshuman Parashar; Michael Pellauer; Ananda Samajdar (Morgan & Claypool Publishers, 2020)

Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package. - Robert Guirado; Hyoukjun Kwon; Sergi Abadal; Eduard Alarcón; Tushar Krishna (ASP-DAC, 2021)

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads. - Hyoukjun Kwon; Liangzhen Lai; Michael Pellauer; Tushar Krishna; Yu-Hsin Chen; Vikas Chandra (HPCA, 2021)

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats. - Eric Qin 001; Geonhwa Jeong; William Won; Sheng-Chun Kao; Hyoukjun Kwon; Sudarshan Srinivasan; Dipankar Das 002; Gordon Euhyun Moon; Sivasankaran Rajamanickam; Tushar Krishna (IPDPS, 2021)

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators. - Hyoukjun Kwon; Michael Pellauer; Angshuman Parashar; Tushar Krishna (IEEE Comput. Archit. Lett., 2021)

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. - Jiaqi Gu 002; Hyoukjun Kwon; Dilin Wang; Wei Ye 008; Meng Li 004; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra; David Z. Pan (CVPR, 2022)

SDRM3: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. - Seah Kim; Hyoukjun Kwon; Jinook Song; Jihyuck Jo; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra (CoRR, 2022)

A Formalism of DNN Accelerator Flexibility. - Sheng-Chun Kao; Hyoukjun Kwon; Michael Pellauer; Angshuman Parashar; Tushar Krishna (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators. - Prasanth Chatarasi; Hyoukjun Kwon; Angshuman Parashar; Michael Pellauer; Tushar Krishna; Vivek Sarkar (ACM Trans. Archit. Code Optim., 2022)

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication. - Gordon Euhyun Moon; Hyoukjun Kwon; Geonhwa Jeong; Prasanth Chatarasi; Sivasankaran Rajamanickam; Tushar Krishna (IEEE Trans. Parallel Distributed Syst., 2022)

DREAM: A Dynamic Scheduler for Dynamic Real-time Multi-model ML Workloads. - Seah Kim; Hyoukjun Kwon; Jinook Song; Jihyuck Jo; Yu-Hsin Chen; Liangzhen Lai; Vikas Chandra (ASPLOS (4), 2023)

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. - 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; et al. (MLSys, 2023)

Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets. - Mohanad Odema; Hyoukjun Kwon; Mohammad Abdullah Al Faruque (CoRR, 2023)

Characterizing the Accuracy-Efficiency Trade-off of Low-rank Decomposition in Language Models. - Chakshu Moar; Faraz Tahmasebi; Michael Pellauer; Hyoukjun Kwon (IISWC, 2024)

SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. - Mohanad Odema; Luke Chen; Hyoukjun Kwon; Mohammad Abdullah Al Faruque (MICRO, 2024)

NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads. - Rachid Karami; Hemanth Kota; Sheng-Chun Kao; Hyoukjun Kwon (CoRR, 2024)

PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects. - Raveesh Garg; Hyoukjun Kwon; Eric Qin 001; Yu-Hsin Chen; Tushar Krishna; Liangzhen Lai (CoRR, 2024)

Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models. - Chakshu Moar; Michael Pellauer; Hyoukjun Kwon (CoRR, 2024)

Optimized Spatial Architecture Mapping Flow for Transformer Accelerators. - Haocheng Xu; Faraz Tahmasebi; Ye Qiao; Hongzheng Tian; Hyoukjun Kwon; Sitao Huang (CoRR, 2024)

FlexiBit: Fully Flexible Precision Bit-parallel Accelerator Architecture for Arbitrary Mixed Precision AI. - Faraz Tahmasebi; Yian Wang; Benji Y. H. Huang; Hyoukjun Kwon (CoRR, 2024)

Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses. - Yongfan Liu; Hyoukjun Kwon (CVPR, 2025)

Performance Implications of Multi-Chiplet Neural Processing Units on Autonomous Driving Perception. - Mohanad Odema; Luke Chen; Hyoukjun Kwon; Mohammad Abdullah Al Faruque (DATE, 2025)

Characterizing State Space Model (SSM) and SSM-Transformer Hybrid Language Model Performance with Long Context Length. - Saptarshi Mitra; Rachid Karami; Haocheng Xu; Sitao Huang; Hyoukjun Kwon (CoRR, 2025)

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems. - Rachid Karami; Rajeev Patwari; Hyoukjun Kwon; Ashish Sirasao (CoRR, 2025)