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Automotive

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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Robotics

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 raises $18m in Series B funding

 

The EQT Ventures Fund led the round, joining all existing investors Merus Capital, Paua Ventures, Seed Fonds Aachen and DSA Invest.

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Multicore Association Releases SHIM 2.0 for Advanced Tool Support

 

SHIM 2.0 works with Silexica’s platform model to support multicore development projects.

 

Facilitating High Level Synthesis from MATLAB® generated C/C++

 

SLX FPGA provides a deep understanding and optimizes MATLAB® generated C/C++ algorithm for FPGA implementation using an HLS compiler.

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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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Silexica

Recent Events

CPPCON - COLORADO, USA
Sep 15, 2019 - Aug 20, 2019
CPPCON - COLORADO, USA

CppCon is the annual, week-long face-to-face gathering for the entire C++ community – the biggest C++ event in the world. Besides joining the event, Silexica will be presenting a poster about the challenges of using HLS and how SLX FPGA helps to convert your C/C++ code into an FPGA bitstream more efficiently with HLS.

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FPGA World
Sep 17, 2019 - Sep 19, 2019
FPGA World Conference - Stockholm/Copenhagen

Silexica will be participating in the FPGA World Conference 2019 in Stockholm September 17 and Copenhagen September 19. Get a in-depth look at SLX FPGA that helps to convert your  C/C++ code into an FPGA bitstream more efficiently with HLS.

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