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Olivia Weng
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Year
Neural Network Quantization for Efficient Inference: A Survey
O Weng
arXiv preprint arXiv:2112.06126, 2021
252021
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
H Borras, G Di Guglielmo, J Duarte, N Ghielmetti, B Hawks, S Hauck, ...
arXiv preprint arXiv:2206.11791, 2022
112022
Tailor: Altering Skip Connections for Resource-Efficient Inference
O Weng, G Marcano, V Loncar, A Khodamoradi, N Sheybani, A Meza, ...
ACM Transactions on Reconfigurable Technology and Systems 17 (1), 1-23, 2024
42024
Turn on, Tune in, Listen up: Maximizing Side-Channel Recovery in Time-to-Digital Converters
C Drewes, O Weng, K Ryan, B Hunter, C McCarty, R Kastner, ...
Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023
42023
Pentimento: Data remanence in cloud FPGAs
C Drewes, O Weng, A Meza, A Althoff, D Kohlbrenner, R Kastner, ...
Proceedings of the 29th ACM International Conference on Architectural …, 2024
12024
Evaluating Achievable Latency and Cost: SSD Latency Predictors
O Weng, AA Chien
12020
Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications
O Weng, A Redding, N Tran, JM Duarte, R Kastner
arXiv preprint arXiv:2403.08980, 2024
2024
FKeras: A Fault Tolerance Library for Keras
O Weng, A Meza, JM Duarte, N Tran, R Kastner
Flat Optics: Components to Systems, JTu4A. 40, 2023
2023
Adapting Skip Connections for Resource-Efficient FPGA Inference
O Weng, G Marcano, V Loncar, A Khodamoradi, N Sheybani, ...
Proceedings of the 2023 ACM/SIGDA International Symposium on Field …, 2023
2023
A Tunable Dual-Edge Time-to-Digital Converter
C Drewes, S Harris, W Wang, R Appen, O Weng, R Kastner, W Hunter, ...
2021 IEEE 29th Annual International Symposium on Field-Programmable Custom …, 2021
2021
Hardware-efficient Residual Networks for FPGAs
O Weng, A Khodamoradi, R Kastner
arXiv preprint arXiv:2102.01351, 2021
2021
Design Space Exploration For Machine Learning Architectures
M Barrow, O Weng, R Kastner
2021
FKeras: A Sensitivity Analysis Tool for Edge Neural Networks
O Weng, A Meza, N Tran, J Duarte, R Kastner
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