Các bài viết có thể truy cập công khai - Michaela BlottTìm hiểu thêm
Không có ở bất kỳ nơi nào: 1
Evaluating Theoretical Baselines for ML Benchmarking Across Different Accelerators
M Blott, A Vasilciuc, M Leeser, L Doyle
IEEE Design & Test 39 (3), 28-36, 2021
Các cơ quan ủy nhiệm: US National Science Foundation
Có tại một số nơi: 23
Finn: A framework for fast, scalable binarized neural network inference
Y Umuroglu, NJ Fraser, G Gambardella, M Blott, P Leong, M Jahre, ...
Proceedings of the 2017 ACM/SIGDA international symposium on field …, 2017
Các cơ quan ủy nhiệm: Australian Research Council
FINN-R An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
M Blott, TB Preußer, NJ Fraser, G Gambardella, K O’brien, Y Umuroglu, ...
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-23, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, European Commission
Syq: Learning symmetric quantization for efficient deep neural networks
J Faraone, N Fraser, M Blott, PHW Leong
Proceedings of the IEEE conference on computer vision and pattern …, 2018
Các cơ quan ủy nhiệm: Australian Research Council
Synetgy: Algorithm-hardware co-design for convnet accelerators on embedded fpgas
Y Yang, Q Huang, B Wu, T Zhang, L Ma, G Gambardella, M Blott, ...
Proceedings of the 2019 ACM/SIGDA international symposium on field …, 2019
Các cơ quan ủy nhiệm: US Department of Energy
OSNT: Open source network tester
G Antichi, M Shahbaz, Y Geng, N Zilberman, A Covington, M Bruyere, ...
IEEE Network 28 (5), 6-12, 2014
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
Applications and techniques for fast machine learning in science
AMC Deiana, N Tran, J Agar, M Blott, G Di Guglielmo, J Duarte, P Harris, ...
Frontiers in big Data 5, 787421, 2022
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Energy, US National …
Architectural optimizations for high performance and energy efficient Smith-Waterman implementation on FPGAs using OpenCL
L Di Tucci, K O'Brien, M Blott, MD Santambrogio
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017 …, 2017
Các cơ quan ủy nhiệm: Fondazione Cariplo
Inference of quantized neural networks on heterogeneous all-programmable devices
TB Preußer, G Gambardella, N Fraser, M Blott
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), 833-838, 2018
Các cơ quan ủy nhiệm: European Commission
On how to improve fpga-based systems design productivity via sdaccel
G Guidi, E Reggiani, L Di Tucci, G Durelli, M Blott, MD Santambrogio
2016 IEEE international parallel and distributed processing symposium …, 2016
Các cơ quan ủy nhiệm: European Commission
Real-time machine learning based fiber-induced nonlinearity compensation in energy-efficient coherent optical networks
E Giacoumidis, Y Lin, M Blott, LP Barry
APL Photonics 5 (4), 2020
Các cơ quan ủy nhiệm: Science Foundation Ireland
Qutibench: Benchmarking neural networks on heterogeneous hardware
M Blott, L Halder, M Leeser, L Doyle
ACM Journal on Emerging Technologies in Computing Systems (JETC) 15 (4), 1-38, 2019
Các cơ quan ủy nhiệm: US National Science Foundation
Customizing low-precision deep neural networks for fpgas
J Faraone, G Gambardella, D Boland, N Fraser, M Blott, PHW Leong
2018 28th International Conference on Field Programmable Logic and …, 2018
Các cơ quan ủy nhiệm: Australian Research Council
Accuracy to throughput trade-offs for reduced precision neural networks on reconfigurable logic
J Su, NJ Fraser, G Gambardella, M Blott, G Durelli, DB Thomas, ...
Applied Reconfigurable Computing. Architectures, Tools, and Applications …, 2018
Các cơ quan ủy nhiệm: Australian Research Council, UK Research & Innovation
Evaluation of optimized cnns on heterogeneous accelerators using a novel benchmarking approach
M Blott, NJ Fraser, G Gambardella, L Halder, J Kath, Z Neveu, ...
IEEE Transactions on Computers 70 (10), 1654-1669, 2020
Các cơ quan ủy nhiệm: US National Science Foundation
Compressing low precision deep neural networks using sparsity-induced regularization in ternary networks
J Faraone, N Fraser, G Gambardella, M Blott, PHW Leong
International Conference on Neural Information Processing, 393-404, 2017
Các cơ quan ủy nhiệm: Australian Research Council
Implementing neural network-based equalizers in a coherent optical transmission system using field-programmable gate arrays
PJ Freire, S Srivallapanondh, M Anderson, B Spinnler, T Bex, TA Eriksson, ...
Journal of Lightwave Technology 41 (12), 3797-3815, 2023
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council, European Commission
Towards FPGA implementation of neural network-based nonlinearity mitigation equalizers in coherent optical transmission systems
PJ Freire, M Anderson, B Spinnler, T Bex, JE Prilepsky, TA Eriksson, ...
2022 European Conference on Optical Communication (ECOC), 1-4, 2022
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council, European Commission
LL-GNN: Low latency graph neural networks on FPGAs for high energy physics
Z Que, H Fan, M Loo, H Li, M Blott, M Pierini, A Tapper, W Luk
ACM Transactions on Embedded Computing Systems 23 (2), 1-28, 2024
Các cơ quan ủy nhiệm: UK Engineering and Physical Sciences Research Council
On the rtl implementation of finn matrix vector unit
SA Alam, D Gregg, G Gambardella, T Preusser, M Blott
ACM Transactions on Embedded Computing Systems 22 (6), 1-27, 2023
Các cơ quan ủy nhiệm: Science Foundation Ireland, European Commission
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