Flexible Embedded AI for Automotive Systems: Hardware-Independent DNN Deployment with RISC-V
Modern automotive systems feature a range of sensors and cameras, providing input to driver assistance systems. Deep Neural Networks…
Empowering Better SoC Design
Accelerate your innovation with trusted MINRES methodology, productivity IP, tools and design IP
Our Customers and Partners
Our Approach
System-on-Chip and embedded system design is complex.
We make it easier by helping you to design better.
The MINRES approach is to introduce tried, tested and trusted design methodology, productivity IP, tools and design IP to solve your design challenges, while improving your software-driven design processes, and even training your teams.
Your design team is enabled with more productive design processes and empowered to turn great ideas into market-leading innovative products faster and more dependably.
Our silicon-proven, EDA tools-agnostic productivity and design IP provide you with high levels of abstraction and seamless integration.
Our deep understanding of safety and security requirements is backed by over a decade of trusted partnerships developing automotive electronics, mobile communications, and defense applications.
Lorem Ipsum
Our Products
At MINRES, we empower engineering teams to build better System-on-Chip (SoC) solutions – faster and with greater confidence.
Flexible, Scalable IP
The Good Folk Series
- Five flexible, scalable RISC-V cores
- Low power for Edge-IoT and embedded
- Available as 32 or 64-bit
- Optimal performance per watt and silicon area
- Trustworthy, generator-based and flexible hardware IP
Hybrid Simulation
VP and RTL running together in parallel
- RAVEN offers more efficient and accurate hardware/software development.
- Faster SystemC simulations through coarse-grained parallelization
- Co-simulation of SystemC and RTL mapped onto FPGA
- On-premise and Cloud
Virtual Prototyping and Platform Modeling
Target Application
Platform Model
PySysC
Custom Models
written by the customer
DBT-Rise, QEMU
SCC
SystemC/
TLM2.0
C++
MINRES provides VP modeling services for early SW development and architectural exploration. These services are backed by our own environment and open-source libraries. We have a successful track-record with leading semiconductor companies.
-
Application logic performing end-user or system-specific functionality. Might be an operating system or a bare-metal application
-
Platform model is what we agree with and deliver to the customer. It might be a compiled application or an easy to reconfigure PySysC script.
-
Customer provided models can easily be integrated into created platform model
-
DBT-RISE as well as QEMU provide open-source high-performance instruction set simulators forming the heart of every platform model. They allow for manifold debug and analysis options
-
The open-source SystemC Components Library (SCC) provides frequently used C++, SystemC and TLM components and thus facilitates the creation of VPs.
-
SystemC and TLM are Accellera standards for system modeling forming the foundation of our models. They allow for easy reuse of models and composition of platforms.
-
C++ builds the foundation of all our system level models. Being proficient in it, we can provide performant and versatile virtual platform models
Insights
The MINRES blogs demonstrate some of the projects and challenges the team are overcoming. Their insights also demonstrate the team’s expertise, and drive to explore new solutions in search of improvements.
Supply Chain Security for Developers
Have you ever stopped to ask yourself why is it normal that your applications have unrestricted to your home…
NVIDIA’s AI chip dominance won’t last forever
NVIDIA is throwing cash around yet again – this week buying a $2 billion stake in Synopsys, one of…
Flexible Embedded AI for Automotive Systems: Hardware-Independent DNN Deployment with RISC-V
Modern automotive systems feature a range of sensors and cameras, providing input to driver assistance systems. Deep Neural Networks…
Supply Chain Security for Developers
Have you ever stopped to ask yourself why is it normal that your applications have unrestricted to your home…
NVIDIA’s AI chip dominance won’t last forever
NVIDIA is throwing cash around yet again – this week buying a $2 billion stake in Synopsys, one of…