An optimized FPGA architecture for machine learning applications
Author:
Publisher
Elsevier BV
Subject
Electrical and Electronic Engineering
Reference44 articles.
1. Machine learning: Algorithms, real-world applications and research directions;Sarker;SN Comput Sci,2021
2. Nurvitadhi E, Sim J, Sheffield D, Mishra A, Krishnan S, Marr D. Accelerating recurrent neural networks in analytics servers: Comparison of FPGA, CPU, GPU, and ASIC. In: 2016 26th International conference on field programmable logic and applications. 2016.
3. Hu Y, Liu Y, Liu Z. A Survey on Convolutional Neural Network Accelerators: GPU, FPGA and ASIC. In: 2022 14th International conference on computer research and development. 2022, p. 100–7.
4. Asano S, Maruyama T, Yamaguchi Y. Performance comparison of FPGA, GPU and CPU in image processing. In: 2009 International conference on field programmable logic and applications. 2009, p. 126–31.
5. FPGA acceleration for big data analytics: Challenges and opportunities;Hoozemans;IEEE Circuits Syst Mag,2021
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