Hyoukjun Kwon
Orcid: 0000-0001-9824-1352
According to our database1,
Hyoukjun Kwon
authored at least 37 papers
between 2017 and 2024.
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Bibliography
2024
Characterizing the Accuracy - Efficiency Trade-off of Low-rank Decomposition in Language Models.
CoRR, 2024
PipeOrgan: Efficient Inter-operation Pipelining with Flexible Spatial Organization and Interconnects.
CoRR, 2024
SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators.
CoRR, 2024
NonGEMM Bench: Understanding the Performance Horizon of the Latest ML Workloads with NonGEMM Workloads.
CoRR, 2024
2023
Inter-Layer Scheduling Space Exploration for Multi-model Inference on Heterogeneous Chiplets.
CoRR, 2023
XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse.
Proceedings of the Sixth Conference on Machine Learning and Systems, 2023
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023
2022
Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication.
IEEE Trans. Parallel Distributed Syst., 2022
Marvel: A Data-Centric Approach for Mapping Deep Learning Operators on Spatial Accelerators.
ACM Trans. Archit. Code Optim., 2022
Proc. ACM Meas. Anal. Comput. Syst., 2022
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Comput. Archit. Lett., 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021
Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021
2020
Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01767-4, 2020
Data- and communication-centric approaches to model and design flexible deep neural network accelerators.
PhD thesis, 2020
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., 2020
MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings.
IEEE Micro, 2020
MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators.
CoRR, 2020
SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020
Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
2019
Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach.
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture, 2019
mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019
Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019
Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019
2018
IEEE Micro, 2018
MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators.
CoRR, 2018
Proceedings of the Twelfth IEEE/ACM International Symposium on Networks-on-Chip, 2018
Proceedings of the 3rd International Workshop on Advanced Interconnect Solutions and Technologies for Emerging Computing Systems, 2018
MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects.
Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018
2017
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
Proceedings of the Eleventh IEEE/ACM International Symposium on Networks-on-Chip, 2017
Proceedings of the 2017 IEEE International Symposium on Performance Analysis of Systems and Software, 2017
Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants.
Proceedings of the 30th IEEE Computer Security Foundations Symposium, 2017