A multi-neural network acceleration architecture E Baek, D Kwon, J Kim 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture …, 2020 | 110 | 2020 |
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 | 94 | 2021 |
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 | 30 | 2019 |
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 | 9 | 2021 |
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 | 3 | 2022 |
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 | 1 | 2023 |