Hardware Accelerated Quantized Hand Written Digit Recognition via High Level Synthesis-Reference-Cited by-同舟云学术

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Hardware Accelerated Quantized Hand Written Digit Recognition via High Level Synthesis

Published:2024-06-12 Issue: Volume: Page:688-693
ISSN:
Container-title:Proceedings of the Great Lakes Symposium on VLSI 2024
language:
Short-container-title:

Author:

Oraon Pawan¹^ORCID,Mangaraj Soumyashree¹^ORCID,Swain Ayas Kanta¹^ORCID,Mahapatra Kamalakanta¹^ORCID

Affiliation:

1. Electronics and Communication Engineering, NIT Rourkela, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3649476.3660369

Reference16 articles.

1. Framework for neural network hardware implementation

2. HLS-based Optimization of Tau Triggering Algorithm for LHC: a case study

3. Advanced Micro Devices. 2002. PYNQ. Retrieved March 5 2023 from https://pynq.readthedocs.io/en/latest/

4. Advanced Micro Devices. 2024. AMD-Xilinx tools and software accessed from:. Retrieved April 10, 2024 from https://www.amd.com/en/corporate/university-program.html

5. Advanced Micro Devices. 2024. Usage of PYNQ framework is available at:. Retrieved April 10, 2024 from https://www.pynq.io/

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