Hyoukjun Kwon

发表

Adaptive Manycore Architectures for Big Data Computing

Janardhan Rao Doppa, Mihailo Isakov, Michel A. Kinsy, 2017, NOCS.

MAESTRO: An Open-source Infrastructure for Modeling Dataflows within Deep Learning Accelerators pdf

Hyoukjun Kwon, Tushar Krishna, Michael Pellauer, 2018, ArXiv.

Understanding the Impact of On-chip Communication on DNN Accelerator Performance

Hyoukjun Kwon, Tushar Krishna, Sergi Abadal, 2019, 2019 26th IEEE International Conference on Electronics, Circuits and Systems (ICECS).

Improving the Lifetime of NAND Flash-based Storages by Min-hash Assisted Delta Compression Engine

Hyoukjun Kwon, Jihong Kim, Jisung Park, 2015 .

MARVEL: A Decoupled Model-driven Approach for Efficiently Mapping Convolutions on Spatial DNN Accelerators pdf

Hyoukjun Kwon, Tushar Krishna, Vivek Sarkar, 2020, ArXiv.

SIGMA: A Sparse and Irregular GEMM Accelerator with Flexible Interconnects for DNN Training

Dipankar Das, Hyoukjun Kwon, Tushar Krishna, 2020, 2020 IEEE International Symposium on High Performance Computer Architecture (HPCA).

MAERI: Enabling Flexible Dataflow Mapping over DNN Accelerators via Reconfigurable Interconnects

Hyoukjun Kwon, Tushar Krishna, Ananda Samajdar, 2018, ASPLOS.

Data Orchestration in Deep Learning Accelerators

Tushar Krishna, Hyoukjun Kwon, Michael Pellauer, 2020, Synthesis Lectures on Computer Architecture.

Understanding Reuse, Performance, and Hardware Cost of DNN Dataflow: A Data-Centric Approach

Vivek Sarkar, Hyoukjun Kwon, Tushar Krishna, 2018, MICRO.

mRNA: Enabling Efficient Mapping Space Exploration for a Reconfiguration Neural Accelerator

Zhigang Mao, Weiguang Sheng, Zhongyuan Zhao, 2019, 2019 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

A Data-Centric Approach for Modeling and Estimating Efficiency of Dataflows for Accelerator Design

Vivek Sarkar, Hyoukjun Kwon, Tushar Krishna, 2018 .

MAESTRO: A Data-Centric Approach to Understand Reuse, Performance, and Hardware Cost of DNN Mappings

Vivek Sarkar, Hyoukjun Kwon, Michael Pellauer, 2020, IEEE Micro.

Architecture, Chip, and Package Codesign Flow for Interposer-Based 2.5-D Chiplet Integration Enabling Heterogeneous IP Reuse

Saibal Mukhopadhyay, Madhavan Swaminathan, Heechun Park, 2020, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Architecting a Secure Wireless Network-on-Chip

Hyoukjun Kwon, Tushar Krishna, Sergi Abadal, 2018, 2018 Twelfth IEEE/ACM International Symposium on Networks-on-Chip (NOCS).

Rethinking NoCs for spatial neural network accelerators

Hyoukjun Kwon, Tushar Krishna, Ananda Samajdar, 2017, 2017 Eleventh IEEE/ACM International Symposium on Networks-on-Chip (NOCS).

A Communication-Centric Approach for Designing Flexible DNN Accelerators

Hyoukjun Kwon, Tushar Krishna, Ananda Samajdar, 2018, IEEE Micro.

Co-Exploration of Neural Architectures and Heterogeneous ASIC Accelerator Designs Targeting Multiple Tasks

Meng Li, Weiwen Jiang, Hyoukjun Kwon, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

MAESTRO: An Open-source Infrastructure for the Cost-Benefit Analysis of Dataflows within Deep Learning Accelerators

Hyoukjun Kwon, Tushar Krishna, T. Krishna, 2018, MICRO 2018.

HERALD: Optimizing Heterogeneous DNN Accelerators for Edge Devices pdf

Vikas Chandra, Hyoukjun Kwon, Tushar Krishna, 2019, ArXiv.

OpenSMART: Single-cycle multi-hop NoC generator in BSV and Chisel

Hyoukjun Kwon, Tushar Krishna, T. Krishna, 2017, 2017 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).

Architecture, Chip, and Package Co-design Flow for 2.5D IC Design Enabling Heterogeneous IP Reuse

Sung Kyu Lim, Madhavan Swaminathan, Gauthaman Murali, 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).

Dataflow-Architecture Co-Design for 2.5D DNN Accelerators using Wireless Network-on-Package pdf

Hyoukjun Kwon, Tushar Krishna, Sergi Abadal, 2020, ArXiv.

Data- and communication-centric approaches to model and design flexible deep neural network accelerators

Hyoukjun Kwon, 2020 .

An Analytic Model for Cost-Benefit Analysis of Dataflows in DNN Accelerators

Hyoukjun Kwon, Tushar Krishna, Michael Pellauer, 2018 .

Heterogeneous Dataflow Accelerators for Multi-DNN Workloads

Hyoukjun Kwon, Tushar Krishna, Vikas Chandra, 2020, 2021 IEEE International Symposium on High-Performance Computer Architecture (HPCA).

Spoofing Prevention via RF Power Profiling in Wireless Network-on-Chip

Hyoukjun Kwon, Tushar Krishna, Sergi Abadal, 2018, AISTECS@HiPEAC.

Proving Flow Security of Sequential Logic via Automatically-Synthesized Relational Invariants

William R. Harris, Hadi Esmaeilzadeh, Hyoukjun Kwon, 2017, 2017 IEEE 30th Computer Security Foundations Symposium (CSF).

Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation pdf

David Z. Pan, Dilin Wang, Hyoukjun Kwon, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Evaluating Spatial Accelerator Architectures with Tiled Matrix-Matrix Multiplication

Sivasankaran Rajamanickam, Hyoukjun Kwon, Tushar Krishna, 2021, IEEE Transactions on Parallel and Distributed Systems.

Flexion: A Quantitative Metric for Flexibility in DNN Accelerators

Hyoukjun Kwon, Tushar Krishna, Michael Pellauer, 2021, IEEE Computer Architecture Letters.

Extending Sparse Tensor Accelerators to Support Multiple Compression Formats

Dipankar Das, Sheng-Chun Kao, Sivasankaran Rajamanickam, 2021, 2021 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

MAERI : Enabling Flexible Dataflow Mapping over DNN Accelerators via Programmable Interconnects

Hyoukjun Kwon, Hyoukjun Kwon, 2018 .

MAERI

Hyoukjun Kwon, Tushar Krishna, Ananda Samajdar, 2018, ACM SIGPLAN Notices.