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From high-level deep neural models to FPGAs.

H. Sharma, J. Park, D. Mahajan, E. Amaro, J. Kim, C. Shao, A. Mishra, and H. Esmaeilzadeh. MICRO, page 17:1-17:12. IEEE Computer Society, (2016)

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Joon-Young Kim

Nam-Joon Kim

Man Joon Kim

Joon-Soon Kim

Hyun-Joon Kim

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TABLA: A unified template-based framework for accelerating statistical machine learning.D. Mahajan, J. Park, E. Amaro, H. Sharma, A. Yazdanbakhsh, J. Kim, and H. Esmaeilzadeh. HPCA, page 14-26. IEEE Computer Society, (2016)From high-level deep neural models to FPGAs.H. Sharma, J. Park, D. Mahajan, E. Amaro, J. Kim, C. Shao, A. Mishra, and H. Esmaeilzadeh. MICRO, page 17:1-17:12. IEEE Computer Society, (2016)Bit Fusion: Bit-Level Dynamically Composable Architecture for Accelerating Deep Neural Networks.H. Sharma, J. Park, N. Suda, L. Lai, B. Chau, J. Kim, V. Chandra, and H. Esmaeilzadeh. CoRR, (2017)A Computational Stack for Cross-Domain Acceleration.S. Kinzer, J. Kim, S. Ghodrati, B. Yatham, A. Althoff, D. Mahajan, S. Lerner, and H. Esmaeilzadeh. HPCA, page 54-70. IEEE, (2021)An Open-Source ML-Based Full-Stack Optimization Framework for Machine Learning Accelerators.H. Esmaeilzadeh, S. Ghodrati, A. Kahng, J. Kim, S. Kinzer, S. Kundu, R. Mahapatra, S. Manasi, S. Sapatnekar, Z. Wang and 1 other author(s). CoRR, (2023)Scale-out acceleration for machine learning.J. Park, H. Sharma, D. Mahajan, J. Kim, P. Olds, and H. Esmaeilzadeh. MICRO, page 367-381. ACM, (2017)Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks.S. Ghodrati, B. Ahn, J. Kim, S. Kinzer, B. Yatham, N. Alla, H. Sharma, M. Alian, E. Ebrahimi, N. Kim and 2 other author(s). MICRO, page 681-697. IEEE, (2020)Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms.H. Esmaeilzadeh, S. Ghodrati, A. Kahng, J. Kim, S. Kinzer, S. Kundu, R. Mahapatra, S. Manasi, S. Sapatnekar, Z. Wang and 1 other author(s). MLCAD, page 119-126. ACM / IEEE, (2022)VeriGOOD-ML: An Open-Source Flow for Automated ML Hardware Synthesis.H. Esmaeilzadeh, S. Ghodrati, J. Gu, S. Guo, A. Kahng, J. Kim, S. Kinzer, R. Mahapatra, S. Manasi, E. Mascarenhas and 6 other author(s). ICCAD, page 1-7. IEEE, (2021)Yin-Yang: Programming Abstractions for Cross-Domain Multi-Acceleration.J. Kim, B. Ahn, S. Kinzer, S. Ghodrati, R. Mahapatra, B. Yatham, S. Wang, D. Kim, P. Sarikhani, B. Mahmoudi and 3 other author(s). IEEE Micro, 42 (5): 89-98 (2022)

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Disambiguation of "Kim, Joon Kyung"

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From high-level deep neural models to FPGAs.

Please choose a person to relate this publication to

Joon-Young Kim

Nam-Joon Kim

Man Joon Kim

Joon-Soon Kim

Hyun-Joon Kim

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Kim, Joon Kyung"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML From high-level deep neural models to FPGAs.

Please choose a person to relate this publication to

Joon-Young Kim

Nam-Joon Kim

Man Joon Kim

Joon-Soon Kim

Hyun-Joon Kim

Other publications of authors with the same name

Disambiguation

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From high-level deep neural models to FPGAs.