emmtrix
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Our Tools in the Industrial Environment
Developing software for embedded systems means balancing limited resources with demanding efficiency requirements. Understand how your application performs, how its parts depend on each other, and where processing can improve. emmtrix tools analyze performance, manage data dependencies, and optimize processing capabilities to help you build more robust and efficient embedded systems.
Performance Analysis on Target Platforms
Embedded systems often operate under strict performance constraints due to limited processing power and memory. emmtrix Performance Estimator (ePE) analyzes the performance of source code on various target platforms and enables developers to understand how their code behaves in different environments. This can help identify bottlenecks, optimize resource allocation and ensure that the software can meet real-time operating requirements.
By understanding how fast code runs on different hardware, developers can make informed decisions about hardware selection and code design early in the development process.
Managing Data Dependencies in Complex Projects
Embedded systems frequently involve complex interactions between various software components and modules. emmtrix Dependency Analyzer (eDA) helps in mapping out the relationships and interactions between different parts of the code, ensuring that changes in one area do not adversely affect others.
This is particularly crucial in embedded systems where the integrity and reliability of software operations are critical. By understanding data dependencies, developers can avoid conflicts and ensure smooth integration of components, leading to more stable and reliable systems.
Accelerating Processing Through Parallelism and Accelerators
Modern embedded systems increasingly leverage multi-core processors and specific hardware accelerators like DSPs or vector accelerators to enhance performance and efficiency. emmtrix Parallel Studio (ePS) and emmtrix Code Vectorizer (eCV) help optimize code to utilize these features effectively and can drastically improve processing speeds and system responsiveness.
They can semi-automatically identify parts of the code that can benefit from parallel execution or acceleration and optimize them accordingly. This not only speeds up the development process but also enhances the performance of the final product, allowing for more complex and feature-rich applications within the constraints of embedded hardware.
Deploying AI Models on Embedded Hardware
emmtrix Edge AI Compiler (eAI) transforms trained ONNX and PyTorch models into target-aware C code, applying optimizations for the selected embedded or edge platform. The workflow combines memory and data-access optimization, loop restructuring, kernel fusion and automatic vectorization, and can use vector intrinsics and, where available, dedicated accelerators.
Integrate AI inference into existing C-based software and build workflows, with less dependency on a large, general-purpose inference runtime as the central integration layer. For ONNX-based workflows, the generated C code can be validated against ONNX Runtime reference results.
Improving Development Workflow and Time to Market
By automating and optimizing several aspects of the development process, the emmtrix tools can significantly reduce the time to market for new products. Faster identification of issues, automated suggestions for improvements, and streamlined testing processes ensure that development cycles are shorter and more productive.
This efficiency is crucial in industries where being first to market can be a significant competitive advantage.
Cost Efficiency
Using our advanced software tools can lead to better cost management in the development of embedded systems. By optimizing software to make the most efficient use of the hardware, the need for more powerful and expensive hardware solutions can be reduced.
Additionally, reducing the time to market and lowering the incidence of bugs and performance issues in deployed systems can lead to substantial cost savings in terms of both development and maintenance.
Assess the potential of your project with an evaluation license or a conversation with our team.
Industrial Sectors
Space
Space systems rely on embedded software that must operate under strict real-time, performance, and reliability constraints while making efficient use of limited on-board resources. Typical applications include satellite platforms, payload data processing, navigation, communication, and other mission-critical functions.
emmtrix tools help engineering teams analyze performance early, understand software dependencies, and optimize applications for multicore and accelerator-based target platforms, supporting more efficient and dependable space software development.
How emmtrix Tools Support Your Application
Compare Implementations Before Hardware Integration
Compare implementation alternatives and assess target platforms before full hardware integration. emmtrix Performance Estimator provides timing information very early in development, helping you identify performance bottlenecks in on-board software.
Understand Dependencies and Change Impact
See how complex flight software and payload processing applications are connected. emmtrix Dependency Analyzer analyzes their dependencies to support impact analysis after code changes, help avoid unwanted couplings between software components, and improve confidence in system integration and verification activities.
Parallelize Compute-Intensive On-Board Workloads
emmtrix Parallel Studio can be used to optimize applications for multicore space platforms by transforming suitable software into parallel implementations. This is especially useful for compute-intensive on-board workloads such as image processing, signal processing, or other algorithms that must finish within fixed mission time windows.
Use SIMD for Data-Intensive Processing
emmtrix Code Vectorizer can be used to exploit vector-capable processors and accelerators for data-intensive space applications. Automated SIMD-oriented optimization helps improve throughput and resource efficiency for algorithms used in payload, communication, and on-board data-processing chains.
Evaluate AI Models for On-Board Deployment
Where AI inference is part of a planned on-board application, emmtrix Edge AI Compiler converts ONNX and PyTorch models into inspectable C code for supported embedded targets. Compile-time tensor-memory planning and reuse help reduce memory requirements where possible. The generated code can be integrated into C-based workflows and evaluated with the selected compiler, simulator or target hardware.
Download the Space Engineering Flyer for a concise overview of our compiler technologies, engineering services and project experience for embedded space applications.
Working with limited on-board resources? Explore the options for your mission software.
Automotive
Software-defined functionality and integration
Intuitive infotainment, self-driving abilities and electrification are rapidly turning the vehicle into a software-defined transportation platform. Progress increasingly depends on software quality, execution and integration rather than mechanical ingenuity alone.
Customer expectations for high-end onboard assistants and advanced driver-assistance systems (ADAS) make feature integration and upgrades costly.
Your software also comes from multiple sources: an OEM’s in-house team, suppliers, strategic partnerships and joint ventures. Modules are often developed in isolation. Once the full set is available, OEMs or tier-one suppliers try to integrate them into a proprietary platform.
ECU consolidation
More ECUs enable more vehicle features, but also make the system harder to manage. Car manufacturers are looking to reduce the number of ECUs per vehicle by consolidating functions into fewer devices.
Find bottlenecks, identify optimization potential and make internal system dependencies visible. emmtrix tools provide analyses that help you manage this software complexity.
How emmtrix Tools Support Your Application
Early Timing Estimates for AUTOSAR and Model-Based Design
emmtrix Performance Estimator can be used in the early stages of development to provide timing estimates for the software on the selected target platform. Typical runtime information helps to identify the most efficient implementations, while maximum runtimes can indicate potential timing problems.
Additional information can be extracted from AUTOSAR XML descriptions to identify relevant runnables, tasks or software components of the application. Integration into existing CI flows generates direct feedback on changes to the source code or model.
To further leverage model-based design, the timing information of C code generated by TargetLink can be propagated back to the original Simulink® modules.
Verify AUTOSAR Data Dependencies
emmtrix Dependency Analyzer can be used to analyze the data dependencies in the C source code. Common use cases are the verification of data dependencies as defined in the AUTOSAR models and proof that there are no unwanted connections between input and output signals.
Distribute Long-Running Tasks Across Cores
emmtrix Parallel Studio can be used to split long-running tasks into multiple ones to make better use of available cores of the hardware. The ePS Qualification Kit ensures that the parallel program is functionally equivalent to the sequential one and that no additional errors like race conditions or deadlocks were introduced during the parallelization.
Use Vector Acceleration with AURIX™ TC4x
Use emmtrix Code Vectorizer to make use of vector accelerators like the Infineon AURIX™ TC4x generation. The automated extraction of SIMD instructions enables easy adaptation of existing algorithms for vector-based accelerators.
Bring AI Models Into Embedded C Workflows
emmtrix Edge AI Compiler converts ONNX and PyTorch models into target-optimized C code for embedded AI inference. Supported vector targets include Infineon AURIX™ TC4x PPU and RISC-V RVV. The generated implementation can be compiled with the target’s C toolchain and integrated into existing software workflows. For ONNX-based workflows, numerical results can be validated against ONNX Runtime reference behavior.
Automated OBD Signal-Flow Documentation
For a German premium OEM, emmtrix is supporting static signal-flow analysis in AUTOSAR-based software stack, mapping to AUTOSAR variables and CI/CD integration. The outcome: fully automated, comprehensive documentation for auditing emission-relevant signals.
Download the Automotive Expertise Flyer for our engineering expertise, the documented use case and customer feedback.
Working with AUTOSAR and TargetLink? Discuss your timing and dependency analysis requirements.
Avionics
Embedded systems support navigation, radar, sonar, flight control systems, weather systems, aircraft management systems and satellite systems. Across modern aircraft and drones, including UAVs (Unmanned Aerial Vehicles), they must meet extremely high safety and reliability standards under real-time constraints.
emmtrix tools assist in analyzing and parallelizing applications to improve performance and enable a workflow that facilitates the validation of parallel applications.
How emmtrix Tools Support Your Application
Optimize Applications for Multicore Systems
emmtrix Parallel Studio can be used to optimize applications to take advantage of the available cores on multicore systems. The ePS Qualification Kit ensures that the parallel program is functionally equivalent to the sequential one and that no additional errors such as race conditions or deadlocks have been introduced during parallelization.
Compare Implementations and Hardware Early
Select the most efficient implementation or hardware early. emmtrix Performance Estimator provides timing information very early in development to support those decisions.
Plan Verification after Code Changes
Focus verification work using application dependencies. emmtrix Dependency Analyzer analyzes those dependencies to optimize required test coverages after code changes or verify that the application is free of unwanted connections between input and output ports.
Optimizing avionics software? Discuss your performance and verification requirements.
Telecommunication
Maintaining a high quality of service is crucial in telecommunications. Developers must focus on optimizing performance, minimizing latency, and ensuring reliable communication even in adverse conditions.
Telecommunication applications often require real-time communication capabilities. Achieving low-latency communication and real-time data processing can be challenging, especially in large-scale and distributed systems.
Supporting a variety of devices and platforms introduces challenges related to cross-platform development. Telecommunication software needs to run seamlessly on diverse devices, operating systems, and form factors.
The tools emmtrix Parallel Studio and emmtrix Performance Estimator can be used to tackle these performance issues and explore the expected behavior on different devices while emmtrix Dependency Analyzer can be used to master the complexity of larger systems.
Developing real-time communication software? Discuess performance, latency and platform requirements.
Additional Industries
Our industry-open approach combines extensive cross-industry experience with compatibility and flexibility: solutions are designed to meet specific sector needs while remaining adaptable to broader applications. Discover how emmtrix technology can enhance your operations and support your growth.
For embedded AI applications beyond these sectors, emmtrix Edge AI Compiler provides a command-line workflow from ONNX and PyTorch models to target-optimized C code. It combines automated code transformations with vectorization for supported targets. Model compatibility, memory requirements and numerical behavior are evaluated for the specific application, target hardware and toolchain.
Looking for tools for a different industry? Tell us about your application.
Find the Right Tool for Your Application
Discuss static code analysis, performance estimation or code optimization with our team. A conversation is the starting point for finding the best solution and helping you reach your development goals faster and more efficiently.
