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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 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.

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Using SLX FPGA in Financial Applications

SLX FPGA is used to accelerate optimization of FPGA implementations of two computation intensive simulations for options pricing, the Black-Scholes model and the Heston model.

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SLX FPGA Version 2020.2 NOW AVAILABLE

SLX FPGA 2020.2 includes a Vivado/Vitis HLS project importer to easily work on an existing Xilinx HLS project. The optimized analysis engine result in 7x faster analysis time during parallelism detection, allowing more design space exploration in a shorter amount of time!

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Silexica Presents with Mentor for a High-Level Synthesis Seminar Series

Silexica (SLX) has announced that they will be presenting in a Virtual HLS Seminar Series in May 2020 organized by Mentor, a Siemens business.

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Recent Events

FPGA-Conference Europe
Sep 29, 2020 - Oct 1, 2020
FPGA-Conference Europe - Munich, Germany

Join us at the FPGA-Conference Europe, where Silexica is presenting the Keynote on October 1st. Silexica’s CEO, Maximilian Odendahl will present “Mastering Software/Hardware Complexity in a Heterogeneous World”. Come and hear about the latest in FPGA design technology!

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