Vendor: Robert Bosch GmbH Category: Edge AI Accelerator

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

Part Number
DFA
Vendor
Robert Bosch GmbH
Type
Silicon IP

Safety & Qualification

Functional Safety Level
ASIL D

Files

Note: some files may require an NDA depending on provider policy.

Provider

HQ: Germany

Learn more about Edge AI Accelerator IP core

RISC-V Based TinyML Accelerator for Depthwise Separable Convolutions in Edge AI

While lightweight architectures like MobileNetV2 employ Depthwise Separable Convolutions (DSC) to reduce computational complexity, their multi-stage design introduces a critical performance bottleneck inherent to layer-by-layer execution: the high energy and latency cost of transferring intermediate feature maps to either large on-chip buffers or off-chip DRAM. To address this memory wall, this paper introduces a novel hardware accelerator architecture that utilizes a fused pixel-wise dataflow.

Accelerating Your Development: Simplify SoC I/O with a Single Multi-Protocol SerDes IP

Enter the Multi-Protocol SerDes (Serializer/Deserializer)—a flexible, reusable IP block that allows a single PHY to support multiple serial communication protocols, such as PCIe, SATA, Ethernet, USB, and more. This approach enables SoC vendors to meet diverse customer requirements and application needs without redesigning I/O for each target market.

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.

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