Research output per year
Research output per year
Personal profile
In Korean
김용태 교수(IT대학 컴퓨터학부)
Education
(2013) Ph.D., Texas A&M University, College Station, TX, USA
(2009) M.S., Korea University, Seoul, Korea
(2007) B.S., Korea University, Seoul, Korea
(2009) M.S., Korea University, Seoul, Korea
(2007) B.S., Korea University, Seoul, Korea
Professional Experience
(2023~present) Associate Professor, Kyungpook National University, Daegu, Korea
(2018~2023) Assistant Professor, Kyungpook National University, Daegu, Korea
(2013~2018) Software Engineer, Intel Corporation, Santa Clara, CA, USA
(2018~2023) Assistant Professor, Kyungpook National University, Daegu, Korea
(2013~2018) Software Engineer, Intel Corporation, Santa Clara, CA, USA
Research Interests
Error-resilient neuromorphic computing architectures (Spiking Neural Networks)
Energy-efficient approximate & stochastic computing architectures
New memory devices and memory architectures & systems for emerging applications (Processing-in-Memory, ReRAM, STT-MRAM)
Computation-efficient hardware accelerator architectures for artificial intelligence (AI) and machine learning
Energy-efficient quantum computer accelerator architectures and quantum arithmetic circuits
Energy-efficient approximate & stochastic computing architectures
New memory devices and memory architectures & systems for emerging applications (Processing-in-Memory, ReRAM, STT-MRAM)
Computation-efficient hardware accelerator architectures for artificial intelligence (AI) and machine learning
Energy-efficient quantum computer accelerator architectures and quantum arithmetic circuits
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Collaborations and top research areas from the last five years
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Can Less Accurate Be More Accurate? Surpassing Exact Multiplier with Approximate Design on NISQ Quantum Computers
Hwang, S., Seo, H. & Kim, Y., 14 May 2025, 40th Annual ACM Symposium on Applied Computing, SAC 2025. Association for Computing Machinery, p. 590-591 2 p. (Proceedings of the ACM Symposium on Applied Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Design of a Hardware-Efficient Approximate 4-2 Compressor for Multiplications in Image Processing
Hwang, S., Kwon, K. W. & Kim, Y., 2025, In: IEEE Embedded Systems Letters. 17, 4, p. 226-229 4 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Design of Approximate Floating-Point Arithmetic Units Using Hardware-Efficient Rounding Schemes
Kwak, M., Lee, S. & Kim, Y., 2025, (Accepted/In press) In: IEEE Embedded Systems Letters.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Exploiting Omega Network and Inexact Accumulative Parallel Counter to Enhance Energy Efficiency in Stochastic Computing
Lee, D. & Kim, Y., 14 May 2025, 40th Annual ACM Symposium on Applied Computing, SAC 2025. Association for Computing Machinery, p. 524-531 8 p. (Proceedings of the ACM Symposium on Applied Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access2 Scopus citations -
Hardware-Efficient Quantized Stochastic Computing With Reduced Precision Stochastic Number Generator and LFSR-Based Counter
Lee, D. & Kim, Y., 2025, (Accepted/In press) In: International Journal of Circuit Theory and Applications.Research output: Contribution to journal › Article › peer-review