Simulating Intel FPGA IPs using VUnit
FPGA developers usually try to utilize vendors’ IPs as much as possible, although these IPs are usually tested thoroughly by the vendor, developers need to incorporate them in their simulation to make sure that their design behave/communicate correctly with these IPs. In this article I made the effort to automate these tasks using some python scripts.
High Performance Embedded
Synective Labs provides high performance embedded solution to a wide range of customers, with a focus on computational and data intense problems.
FPGA/ASIC design
Synective Labs is a leading design house and consulting company within FPGA and ASIC design in the Nordic region.
IP block
The Synective CAN 2.0/CAN FD IP core implements a complete CAN controller for integration into FPGAs and ASICs.
Image and Signal Processing
Synective Labs specializes in algorithm development for image and signal processing, with many years of experience from advanced camera, radar and sensor systems.
Server Based Acceleration
Synective Labs work with some of the world’s leading providers of hardware for server-based acceleration, in order to reach state of the art results.
Machine Learning
Synective Labs is actively researching and implementing machine learning with deep neural networks designed to fit on small edge FPGAs and other low power embedded systems.
Get in touch
CAN in Space
Join Synective at the "CAN in Space" workshop in Gothenburg the 14:th to 16:th of June. We will be there in cooperation with Kvaser.
Elektronik 2019, at the new Åbymässan, Göteborg (27-28 March)
Welcome to one of the biggest electronics fairs in Sweden 2019 Synective Labs will present our CAN FD IP portfolio together with Kvaser and Accurate Technologies at this fair. We are also demonstrating Deep Learning on small FPGAs. You are of course also welcome to...
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The moment is here: Synective Labs has a beatiful brand-new Facebook page!