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SLX FPGA

OPTIMIZED EXECUTION ON FPGAs

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Industries

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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Financial

In an ever-connected world, the speed and security of financial markets drive the global economy. In financial technology, next-generation compute acceleration is critical for improved latency, determinism, risk management, security, performance per watt, and total cost of ownership (TCO). To enable these compute requirements, financial institutions are beginning to leverage programmable hardware (FPGAs) and high-level synthesis (HLS) design methodology. With SLX, software professionals can meet these challenging system requirements with automated software optimization based on disruptive compiler technology.
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News

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Silexica Expands Into FinTech Industry Bringing Next-Generation Compute Acceleration

Silexica has announced its entry into the FinTech industry to help financial service companies and exchanges leverage next-generation compute acceleration.

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Silexica Extends Collaboration with Mentor for High-Level Synthesis

Silexica has announced that they will be presenting in a Virtual HLS Seminar Series organized by Mentor to show how SLX works with the Catapult™ HLS Platform.

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“SLX FPGA takes the guesswork out of high-level synthesis design. […] We were able to achieve better performance with SLX in one week compared to hand-coded RTL, which took two months.”

Philippe Manet, CEO of ECSPEC
SLX FPGA 2020.3 - Now available

SLX FPGA 2020.3 includes optimizations to the area/performance models and the optimization engine that result in 2x performance improvements for FinTech design sets compared to the previous release. These enhancements empower financial institutions and exchanges to optimize their designs and decrease time-to-market.

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The Power and Complexities of High-Level Synthesis Pragmas and Directives

Our latest blog article addresses the challenges and shows how SLX FPGA quickly guides you to the best implementation for your application!

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Silexica

Recent Events

Mentor HLS Seminar Japan - Webinar
Oct 27, 2020
Mentor HLS Seminar Japan - Webinar

On October 27th from 11.45 am to 12.15 am (Japanese time), Silexica will demonstrate how SLX works with Mentor Graphic’s Catapult HLS Platform to accelerate the journey from C/C++ to application-specific hardware. The virtual live presentation will take place at Mentor Graphic’s HLS webinar series.

Register Here
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