SLX for FPGA – the newest member of the family
Silexica CEO Max Odendahl introduces the brand-new SLX FPGA solution and updated product page on the website…
Our latest release of SLX sees us add a new FPGA solution to our growing list of products available. SLX for FPGA reflects the increased use of FPGAs as a key part of heterogeneous supercomputers for tasks like sensor fusion and deep learning. While it was developed in partnership with two customers within the aerospace and industrial automation industries, of course it can equally be applied for automotive applications and others where FPGAs are used.
I believe this to be the first time that a programming tool offers a complete, industry-grade exploration of the design space to optimize hardware/software partitioning on FPGAs. In addition, the automatic insertion of pragmas and code rewriting are outstanding features that can change the game in the way applications are now delivered to FPGAs. It saves valuable time to enable C/C++ developers to get their code ready and optimized, enabling a much larger audience to finally make use of High Level Synthesis (HLS).
SLX for FPGA was previewed at Embedded World in February 2018 and the reaction we got there from customers was very positive. As a result, the team really made a great effort to get it released so soon afterwards. It will also be shown at our first ever appearance at an avionics exhibition this week in Munich.
This is a further expansion of our SLX programming tools to match the shift to heterogeneous multicore platforms. We have created a new product page making it easier to find the right product matching your requirements. We have included screenshots so you can get a better feel of SLX from a user’s perspective as you go through the Analyze, Optimze and Integrate phases.
The SLX tools now available are:
Our team has been working really hard to deliver these new products and we’d love to hear your feedback. Stay tuned for more exciting updates coming very soon!
Maximilian is on a mission to solve the productivity gap of multicore processors, one of the biggest challenges today in electronics. He is co-founder and CEO of Silexica, offering the SLX technology for automatic parallelization, mapping workloads to heterogeneous hardware and software-hardware co-design. He has received a Computer Engineering diploma from RWTH Aachen University in 2010 and has joined the Institute for Communication Technologies and Embedded Systems (ICE) afterwards as a full-time research assistant and Ph.D. student. From May 2013 until December 2014, he was the Chief Engineer of the Chair for Software for Systems on Silicon leading around 10 research assistants.