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ORCIDMin Soo Kim 0003
Person information
- affiliation: University of California Irvine, Department of Electrical Engineering and Computer Science, CA, USA
Other persons with the same name
- Min Soo Kim — disambiguation page
- Min Soo Kim 0001 — Korea Advanced Institute of Science and Technology (KAIST)
- Min Soo Kim 0002 — Samsung
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2020 – today
- 2022
[j3]Min Soo Kim
, Alberto A. Del Barrio, Hyun Jin Kim, Nader Bagherzadeh:
The Effects of Approximate Multiplication on Convolutional Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(2): 904-916 (2022)- [j2]Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, Hyun Jin Kim, Nader Bagherzadeh:
PLAM: A Posit Logarithm-Approximate Multiplier. IEEE Trans. Emerg. Top. Comput. 10(4): 2079-2085 (2022) - 2021
- [i2]Raul Murillo, Alberto A. Del Barrio, Guillermo Botella, Min Soo Kim, Hyunjin Kim, Nader Bagherzadeh:
PLAM: a Posit Logarithm-Approximate Multiplier for Power Efficient Posit-based DNNs. CoRR abs/2102.09262 (2021) - 2020
- [b1]Min Soo Kim:
Cost-Efficient Approximate Log Multipliers for Convolutional Neural Networks. University of California, Irvine, USA, 2020 - [i1]Min Soo Kim, Alberto A. Del Barrio, Hyunjin Kim, Nader Bagherzadeh:
Effects of Approximate Multiplication on Convolutional Neural Networks. CoRR abs/2007.10500 (2020)
2010 – 2019
- 2019
- [j1]Min Soo Kim, Alberto A. Del Barrio, Leonardo Tavares Oliveira, Román Hermida, Nader Bagherzadeh:
Efficient Mitchell's Approximate Log Multipliers for Convolutional Neural Networks. IEEE Trans. Computers 68(5): 660-675 (2019) - [c3]Hyun Jin Kim, Min Soo Kim, Alberto A. Del Barrio, Nader Bagherzadeh:
A Cost-Efficient Iterative Truncated Logarithmic Multiplication for Convolutional Neural Networks. ARITH 2019: 108-111 - [c2]Leonardo Tavares Oliveira, Min Soo Kim, Alberto A. Del Barrio García, Nader Bagherzadeh, Ricardo Menotti:
Design of Power-Efficient FPGA Convolutional Cores with Approximate Log Multiplier. ESANN 2019 - 2018
- [c1]Min Soo Kim, Alberto A. Del Barrio, Román Hermida, Nader Bagherzadeh:
Low-power implementation of Mitchell's approximate logarithmic multiplication for convolutional neural networks. ASP-DAC 2018: 617-622
Coauthor Index
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