Buffer Interprocess Sharing - BIPS

Buffer Interprocess Sharing - BIPS

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$3,499.00
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$3,499.00

Buffer Interprocess Sharing (BIPS) – Zero-Copy IPC for High-Performance Embedded Linux Systems

BIPS is a cutting-edge, zero-copy IPC (Interprocess Communication) framework engineered to accelerate large data exchange between processes in Linux-based systems. Designed with performance, flexibility, and scalability in mind, BIPS is ideal for AI/ML pipelines, computer vision, GStreamer applications, and real-time data sharing across microservices.

By eliminating unnecessary memory copies, BIPS reduces latency and CPU usage, making it the perfect solution for edge computing, embedded AI, and high-bandwidth multimedia systems.

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Key Features:

  • Zero-Copy Buffer Sharing: Enables efficient, direct memory sharing between producers and consumers with no data duplication.

  • Multi-Process Architecture: Supports one-to-many and many-to-many process communication using named shared memory and synchronization mechanisms.

  • Language Bindings: Fully compatible with both C++ and Python, providing seamless integration in hybrid system architectures.

  • Embedded Linux Focus: Lightweight and portable, BIPS is tailored for constrained systems like NVIDIA Jetson.

  • Clients can be classified as Producers or Consumers according to their role in the system. The producer is responsible for generating and filling in the information on the buffers that Consumers will read.

Example Use Case:

An edge AI application on NVIDIA Jetson AGX Orin performs GPU-based object detection on incoming video frames. Instead of copying the frames between the inference engine and the visualization module, the system uses BIPS to pass the buffers directly through shared memory. This eliminates latency and reduces CPU usage—freeing up compute resources for more AI tasks or multiple concurrent streams.


Typical Use Cases:

  • Vision pipelines needing real-time frame processing across different software components

  • Multimedia systems requiring synchronized data feeds between isolated services

  • Embedded AI pipelines using shared memory between inference engines and post-processors

  • Any system where inter-process data exchange becomes a performance bottleneck

What You Get:

  • RidgeRun's BIPS 

  • Ready-to-use samples and developer guide.

  • Support for integration with GStreamer or custom pipelines

  • Optional 11-hour embedded software consulting package for fast onboarding, troubleshooting, and optimization

Backed by Embedded Software Experts

RidgeRun’s Embedded Software Support team brings deep expertise in low-level Linux, GStreamer, and IPCarchitectures. Whether you're optimizing video latency, reducing memory overhead, or building modular microservices at the edge, our engineers are ready to help.

Visit the BIPS Developer Wiki for architecture diagrams, sample use cases, and integration tips. Inquire about our limited evaluation version or contact us for technical support at support@ridgerun.com.

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