DEVELOPMENT OF PYTHON BINDINGS, LIBRARY AND APPLICATION FOR A HARDWARE CNN ACCELERATOR
DOI:
https://doi.org/10.24867/25BE28PilipovicKeywords:
embedded software, CNN accelerator, embedded library, multicore systemsAbstract
This paper presents a development process of the required software stack, and the application, for the control of a hardware neural network accelerator, based on a modified CoNNa architecture. The existing C++ library was modified, a Python interface to it was developed, and lastly the user application itself was developed, with the ability to run multiple networks concurrently, on an arbitrary number of available cores.
References
[1] R. Struharik, B. Vukobratović, A. Erdeljan, i D. Rakanović, „Conna–compressed cnn hardware accelerator“, u 2018 21st Euromicro Conference on Digital System Design (DSD), IEEE, 2018, str. 365–372.
[2] „ctypes — A foreign function library for Python“, Python documentation. https://docs.python.org/3/library/ctypes.html (pristupljeno 30. avgust 2023.).
[3] F. Doglio, Mastering Python High Performance. Packt Publishing, 2015.
[2] „ctypes — A foreign function library for Python“, Python documentation. https://docs.python.org/3/library/ctypes.html (pristupljeno 30. avgust 2023.).
[3] F. Doglio, Mastering Python High Performance. Packt Publishing, 2015.
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Published
2023-12-06
Issue
Section
Electrotechnical and Computer Engineering
