Joon Kyung Kim

According to our database, Joon Kyung Kim authored at least 11 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

ACM Trans. Design Autom. Electr. Syst., 2024

2022

Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.

Joon Kyung Kim, Byung Hoon Ahn, Sean Kinzer, Soroush Ghodrati, Rohan Mahapatra, Brahmendra Reddy Yatham, Shu-Ting Wang, Dohee Kim, Parisa Sarikhani, Babak Mahmoudi, Divya Mahajan, Jongse Park, Hadi Esmaeilzadeh

IEEE Micro, 2022

Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.

Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng

Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022

2021

VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.

Hadi Esmaeilzadeh, Soroush Ghodrati, Jie Gu, Shiyu Guo, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Rohan Mahapatra, Susmita Dey Manasi, Edwin Mascarenhas, Sachin S. Sapatnekar, Ravi Varadarajan, Zhiang Wang, Hanyang Xu, Brahmendra Reddy Yatham, Ziqing Zeng

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Computational Stack for Cross-Domain Acceleration.

Sean Kinzer, Joon Kyung Kim, Soroush Ghodrati, Brahmendra Reddy Yatham, Alric Althoff, Divya Mahajan, Sorin Lerner, Hadi Esmaeilzadeh

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2021

2020

Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.

Soroush Ghodrati, Byung Hoon Ahn, Joon Kyung Kim, Sean Kinzer, Brahmendra Reddy Yatham, Navateja Alla, Hardik Sharma, Mohammad Alian, Eiman Ebrahimi, Nam Sung Kim, Cliff Young, Hadi Esmaeilzadeh

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

2018

In-RDBMS Hardware Acceleration of Advanced Analytics.

Divya Mahajan, Joon Kyung Kim, Jacob Sacks, Adel Ardalan, Arun Kumar, Hadi Esmaeilzadeh

Proc. VLDB Endow., 2018

2017

Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.

Hardik Sharma, Jongse Park, Naveen Suda, Liangzhen Lai, Benson Chau, Joon Kyung Kim, Vikas Chandra, Hadi Esmaeilzadeh

CoRR, 2017

Scale-out acceleration for machine learning.

Jongse Park, Hardik Sharma, Divya Mahajan, Joon Kyung Kim, Preston Olds, Hadi Esmaeilzadeh

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

2016

From high-level deep neural models to FPGAs.

Hardik Sharma, Jongse Park, Divya Mahajan, Emmanuel Amaro, Joon Kyung Kim, Chenkai Shao, Asit Mishra, Hadi Esmaeilzadeh

Proceedings of the 49th Annual IEEE/ACM International Symposium on Microarchitecture, 2016

TABLA: A unified template-based framework for accelerating statistical machine learning.

Divya Mahajan, Jongse Park, Emmanuel Amaro, Hardik Sharma, Amir Yazdanbakhsh, Joon Kyung Kim, Hadi Esmaeilzadeh

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016