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Eunjin Baek
Eunjin Baek
System Architect, MangoBoost Inc.
Zweryfikowany adres z snu.ac.kr - Strona główna
Tytuł
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Cytowane przez
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A multi-neural network acceleration architecture
E Baek, D Kwon, J Kim
2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020
1102020
Difuzzrtl: Differential fuzz testing to find cpu bugs
J Hur, S Song, D Kwon, E Baek, J Kim, B Lee
2021 IEEE Symposium on Security and Privacy (SP), 1286-1303, 2021
942021
Flexlearn: fast and highly efficient brain simulations using flexible on-chip learning
E Baek, H Lee, Y Kim, J Kim
Proceedings of the 52nd Annual IEEE/ACM International Symposium on …, 2019
302019
An accurate and fair evaluation methodology for SNN-based inferencing with full-stack hardware design space explorations
H Lee, C Kim, S Lee, E Baek, J Kim
Neurocomputing 455, 125-138, 2021
92021
STfusion: Fast and flexible multi-NN execution using spatio-temporal block fusion and memory management
E Baek, E Lee, T Kang, J Kim
IEEE Transactions on Computers 72 (4), 1194-1207, 2022
32022
F4T: A Fast and Flexible FPGA-based Full-stack TCP Acceleration Framework
J Boo, Y Chung, E Baek, S Na, C Kim, J Kim
Proceedings of the 50th Annual International Symposium on Computer …, 2023
12023
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