Reconfigurable Convolutional Kernels for Neural Networks on FPGAs-Reference-Cited by-同舟云学术

Reconfigurable Convolutional Kernels for Neural Networks on FPGAs

Published:2019-02-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays
language:
Short-container-title:

Author:

Hardieck Martin¹,Kumm Martin¹,Möller Konrad¹,Zipf Peter¹

Affiliation:

1. University of Kassel, Kassel, Germany

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3289602.3293905

Reference34 articles.

1. A dynamically configurable coprocessor for convolutional neural networks

2. Ken Chapman. 1996. Constant Coefficient Multipliers for the XC4000E. Xilinx Application Note (1996) 1--8. Ken Chapman. 1996. Constant Coefficient Multipliers for the XC4000E. Xilinx Application Note (1996) 1--8.

3. K D Chapman. 1994. Fast Integer Multipliers Fit in FPGAs. Electronic Design News (1994). K D Chapman. 1994. Fast Integer Multipliers Fit in FPGAs. Electronic Design News (1994).

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comparative study: AutoDPR-SEM for enhancing CNN reliability in SRAM-based FPGAs through autonomous reconfiguration;Microelectronics Reliability;2024-06

2. A Memory Efficient Run-time Re-configurable Convolution IP Core for Deep Neural Networks Inference on FPGA Devices;2023 IEEE International Symposium on Smart Electronic Systems (iSES);2023-12-18

3. Field Programmable Gate Arrays;Application-Specific Arithmetic;2023-08-23

4. Multiplication by Constants;Application-Specific Arithmetic;2023-08-23

5. VLSI-Friendly Filtering Algorithms for Deep Neural Networks;Applied Sciences;2023-08-06