Silexica strengthens links with Nvidia and Xilinx to support SLX development
As we continue to develop and enhance our SLX programming tools, we are building more relationships with members of the multicore programming ecosystem. While continuing to improve our product for our customers, it is also crucial to simultaneously develop our network and knowledge with technology providers. For multicore programming to be a success, many collaborators need to be involved and that is why it is great news that we were recently accepted in to the Nvidia Inception Program and announced as a member of the Xilinx Partner Program.
Nvidia is the developer of the GPU and a driving force in the AI market. By being accepted into the Inception Program we can join the developer community to share information and best practice.
We can also get access to the very latest Nvidia technology to test SLX on and access the NVIDIA Deep Learning Institute that offers training on fully-configured, GPU-accelerated workstations in the cloud. There are a number of training courses that match our goals and we are exploring which Silexicans can join.
Xilinx Partner Program
Since we launched our SLX for FPGA tool in the summer, it has grown in popularity and we see a real fit to support the Xilinx SDSoC development environment. SLX for FPGA analyzes C/C++ code to provide a deep understanding of software interdependencies, application hot spots, and parallelization opportunities to enable code optimization for heterogeneous multicore SoCs.
This Autumn we exhibited at three Xilinx Developer Forums in the US, China and Germany and the feedback we received was great. As such, we have now become a member in the Xilinx Partner Program. This opens up many new opportunities for us, enabling our engineering team to access the latest FPGA software and hardware and attend Xilinx training courses.
This will support us as we work to improve SLX for FPGA. We will also publish our profile on the Xilinx Partner page and be connected to the Xilinx sales and product teams so we can really tailor our solution.
2019 is going to be another exciting year for multicore programming. We continue with our mission to close the gap between software and hardware and I am confident this year we can get even closer.
Thanks to everyone who has supported us so far. Either by following, liking, sharing or talking to us. While continuing to work hard in December on SLX, I want to take the opportunity now to wish you all a great festive period and a Happy New Year.
Maximilian is on a mission to democratize the use of next-generation computing, enabling intelligent electronic products of the future. He is the CEO and co-founder of Silexica and has built the company from its beginning in 2014 to become a global leader in software design automation for heterogeneous computing. Silexica now has a team of 50 compiler, software, hardware and AI experts based in offices in Germany, Japan and the USA.
Max received a Computer Engineering diploma from RWTH Aachen University in 2010 and was formerly the Chief Engineer of the Chair for Software for Systems on Silicon leading 15 research assistants. He has had over 20 publications published in international computing conferences and journals.