Erwei Wang

Marie Auffret

Georgios-Ilias Stavrou

Mohamed S. Abdelfattah

ACM Trans. Reconfigurable Technol. Syst., December, 2023

2022

Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks".

[BibT_eX]

[DOI]

Dovydas Joksas

Nikolaos Barmpatsalos

Wing H. Ng

Anthony J. Kenyon

Adnan Mehonic

Dataset, March, 2022

Hotel recommendation algorithms based on online reviews and probabilistic linguistic term sets.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2022

FPL Demo: Logic Shrinkage: A Neural Architecture Search-Based Approach to FPGA Netlist Generation.

[BibT_eX]

[DOI]

Marie Auffret

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

Logic Shrinkage: Learned FPGA Netlist Sparsity for Efficient Neural Network Inference.

[BibT_eX]

[DOI]

Georgios-Ilias Stavrou

Mohamed S. Abdelfattah

Proceedings of the FPGA '22: The 2022 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, Virtual Event, USA, 27 February 2022, 2022

2021

Generated Data for the Manuscript "Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks".

[BibT_eX]

[DOI]

Dovydas Joksas

Nikolaos Barmpatsalos

Wing H. Ng

Anthony J. Kenyon

Adnan Mehonic

Dataset, December, 2021

Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks.

[BibT_eX]

[DOI]

Dovydas Joksas

Nikolaos Barmpatsalos

Wing H. Ng

Anthony J. Kenyon

Adnan Mehonic

CoRR, 2021

Enabling Binary Neural Network Training on the Edge.

[BibT_eX]

[DOI]

CoRR, 2021

Enabling Binary Neural Network Training on the Edge.

[BibT_eX]

[DOI]

Proceedings of the EMDL@MobiSys 2021: Proceedings of the 5th International Workshop on Embedded and Mobile Deep Learning, 2021

Accelerating Recurrent Neural Networks for Gravitational Wave Experiments.

[BibT_eX]

[DOI]

Bartlomiej Borzyszkowski

Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020

LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2020

2019

Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2019

Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs.

[BibT_eX]

[DOI]

Cheng-Zhong Xu

Proceedings of the International Conference on Field-Programmable Technology, 2019

Accelerating Position-Aware Top-k ListNet for Ranking Under Custom Precision Regimes.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Field Programmable Logic and Applications, 2019

LUTNet: Rethinking Inference in FPGA Soft Logic.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018

Edge Content Enhanced Network Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

A PYNQ-Based Framework for Rapid CNN Prototyping.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

Hardware Compilation of Deep Neural Networks: An Overview.

[BibT_eX]

[DOI]

Wayne Luk

Proceedings of the 29th IEEE International Conference on Application-specific Systems, 2018

2015

基于泛函网络的软件可靠性多模型综合预测方法 (Multi-model Synthesis Prediction of Software Reliability Based on Functional Networks).

[BibT_eX]

[DOI]