Subject
Electrical and Electronic Engineering,Hardware and Architecture,Software
Reference35 articles.
1. W. Zhao, et al., F-CNN: An FPGA-based framework for training Convolutional Neural Networks, in: 2016 IEEE 27th International Conference on Application-Specific Systems, Architectures and Processors, ASAP, 2016.
2. R. Zhao, et al., Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs, in: Proceedings of the 2017 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2017.
3. G. Feng, et al., Energy-efficient and high-throughput FPGA-based accelerator for Convolutional Neural Networks, in: 2016 13th IEEE International Conference on Solid-State and Integrated Circuit Technology, ICSICT, 2016.
4. A. Putnam, et al., A Reconfigurable Fabric for Accelerating Large-Scale Datacenter Services, in: Proceeding of the 41st Annual International Symposium on Computer Architecuture, 2014.
5. A.M. Caulfield, et al., A cloud-scale acceleration architecture, in: 2016 49th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO.
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