To enable advanced driver-assistance systems and autonomous driving, today's cars are becoming supercomputers on wheels. Based on high-resolution sensor data, intelligent decisions can be made in real-time. But car makers are facing the problem to implement this demanding software on low-power on-board computers. This is where SLX comes into play.
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Aerospace & Defense

To increase safety and efficiency, today’s aircrafts are becoming increasingly intelligent - whether manned or unmanned. Several data inputs from communication systems and on-board sensors are being processed in real-time. But the implementation of these navigation algorithms in a safety critical environment is still a challenge. SLX helps to meet these challenges.
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Wireless Communication

Next generation mobile networks like 5G offer radically faster connections and significantly more simultaneous users. This is enabled by mobile base stations that use hundreds of processor cores. But base station makers are facing the problem of programming these complex multicore platforms while fulfilling all timing and power requirements. This is where SLX helps.
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Self-flying drones or autonomous robots need to understand the world around them and safely navigate in critical situations. This requires a high level of visual intelligence that is enabled by super fast image processing. But the implementation of these algorithms on a device, where every last drop of battery counts, is still a challenge. But a manageable one with SLX.
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Silexica Demonstrates Performance Testing Platform at ROSCon ‘19


The Platform Enables Real-time Performance Analysis for ROS-based Autonomous Systems.

Silexica Demonstrates SLX FPGA Tool with New Xilinx Vitis Unified Software Platform


See the SLX FPGA demos with Vitis and Vidado HLS at Xilinx Developers Forum (XDF) 2019.

Using SLX FPGA for performance optimization of SHA-3 for HLS


This white paper examines how SLX FPGA is used to optimize a secure hash algorithm; the result shows that SLX provides a nearly 400x speed-up over the unoptimized implementation and even outperforms the hand optimized implementation by 14%.

SLX Version 2019.02 now available


Version 2019.2 delivers 35X performance improvement with automatic HLS pragma insertion compared to no HLS pragmas.  The SLX C/C++ product adds support for multi-process analysis, shared libraries, remote file systems, and improvements in graphical visualization and performance estimations.

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Silexica appoints new President for Silexica Japan


Silexica, the leading provider of multicore programming tools, has appointed Kawahara Tsunemori as President of its Japanese subsidiary.

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Recent Events

Xilinx Developer Forum - The Hague, Netherlands
Nov 12, 2019
Xilinx Developer Forum - The Hague, Netherlands

Silexica will be at the 2019 Xilinx Developers Forum this autumn and winter in San Jose, Beijing, and The Hague, as a Diamond Sponsor! Come see how SLX FPGA with Vivado® HLS can help accelerate the journey from C/C++ to HW. For more info visit our product page or arrange a meeting here.

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Embedded Technology
Nov 20, 2019 - Nov 22, 2019
Embedded Technology - Yokohama, Japan

Silexica will once again be back at Embedded Technology in Yokohama. We will be presenting our latest SLX tools with engaging demonstrations and customer success stories.

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