BIPS - Buffer InterProcess Sharing
Buffer InterProcess Sharing
RidgeRun Buffer Interprocess Sharing (BIPS) comes to address the issue of large data exchange between microservices. It is an optimized IPC library fully compatible with C++ and Python allowing sharing of data buffers between two or more processes with zero copy, even in Deep Learning environments.
BIPS - Buffer InterProcess Sharing Features:
- Keep synchronization between producers and consumers
Works with both C++ and Python
Interlanguage (C++ and Python) intercommunication
Docker containers intercommunication capability
Python NumPy buffers complaint
Compatible with the most popular Deep Learning frameworks: TensorFlow and PyTorch
Multiple consumers capability (buffer broadcasting)
Zero memory copy buffer exchange with a high exchange rate
The foundations of BIPS consist in having a producer process, which fills buffers with valid data, and one or more consumer processes, that receive the buffers and consume their contents.
Read more detailed information in our wiki page and blog post.
Platforms Supported by BIPS - Buffer InterProcess Sharing:
Note: Additional POSIX-complaint platforms may be supported. Contact us for additional information.