Data Flow Architecture IP
High-performance, deterministic hardware IP for real-time signal processing, control algorithms, and embedded AI acceleration.
Overview
High-performance, deterministic hardware IP for real-time signal processing, control algorithms, and embedded AI acceleration.
DFA is a configurable hardware IP that accelerates real-time signal processing, control algorithms and embedded AI workloads. Its scalable architecture enables efficient integration across automotive MCU and SoC platforms while supporting deterministic, low latency execution.
By offloading compute intensive workloads from the CPU, DFA improves system efficiency, reduces latency and power consumption, and enables flexible, scalable compute solutions for next-generation automotive platforms
Key features
- Product Type: Configurable Hardware IP
- Integration: Soft IP (RTL)
- Safety: ASIL-D capable
- Target Platforms: MCU & SoC
- Compute Engine
- Floating-point Data Flow Architecture
Benefits
- Deterministic real-time execution
- CPU offloading for compute-intensive workloads
- Low-latency, energy-efficient processing
- Scalable architecture across performance points
- Safety-ready integration for automotive platforms
- Flexible acceleration for signal processing, control, and AI workloads
Applications
- Motor Control,
- Real-Time Signal Processing,
- Sensor Fusion,
- Embedded AI
Specifications
Identity
Safety & Qualification
Files
Note: some files may require an NDA depending on provider policy.
Provider
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Frequently asked questions about Edge AI Accelerator IP cores
What is Data Flow Architecture IP?
Data Flow Architecture IP is a Edge AI Accelerator IP core from Robert Bosch GmbH listed on Semi IP Hub.
How should engineers evaluate this Edge AI Accelerator?
Engineers should review the overview, key features, supported foundries and nodes, maturity, deliverables, and provider information before shortlisting this Edge AI Accelerator IP.
Can this semiconductor IP be compared with similar products?
Yes. Buyers can compare this product with similar semiconductor IP cores or IP families based on category, provider, process options, and structured technical specifications.