Silexica Extends Collaboration with Mentor for High-Level Synthesis

Presenting HLS Ecosystem Solutions for ASIC and FPGA for IoT Applications

San Jose, CA – October 13, 2020 – Silexica (silexica.com) has announced that they will be presenting in a Virtual HLS Seminar Series in October 2020 organized by Mentor, a Siemens business. Silexica’s SLX empowers software and hardware engineers to deeply analyze C/C++ algorithms for high-level synthesis (HLS) implementation in ASIC and FPGA designs to make better decisions and further accelerate performance. Silexica joined Mentor’s OpenDoor™ partner program in 2019 and participated in the first virtual seminars for Europe and North-America in May 2020 to advance HLS adoption in FPGAs and ASICs.

“As an ecosystem partner, Silexica’s SLX Tool Suite helps Catapult customers develop high-performance synthesis solutions for FPGAs or ASIC IP, significantly improving design productivity,” said Ellie Bruns, Director of Marketing, Calypto Systems, Mentor Graphics, a Siemens business. “We’re excited to have Silexica partner and present at Mentor’s Virtual HLS Seminar Series demonstrating how they can help make it even easier to go from software to optimized hardware accelerators.”

Event:

Mentor HLS Seminar Series – How to Use HLS to Optimize Your AI/ML, Vision and Smart IoT Applications for Performance and Power/Energy

Date & Time:

South-Korea: October 14 – 15, 2020, 9:00 am – 12:00 pm (Korean time – GMT +9)

 China: October 20 – 23, 2020, 10:00 am – 12:00 pm (Chinese time – GMT +8)

Japan: October 27 – 28, 2020, 9:30 am – 1:00 pm (Japanese time – GMT +9)

Overcoming the Power Problem with HLS for IoT Applications

Developing an ecosystem and methodology using high-level synthesis (HLS) design to manage complex designs and cutting the time of design of ASICs and FPGAs is a constant challenge for hardware and software engineers. SLX in combination with Catapult™ software HLS platform, provides an HLS design flow and ecosystem for hardware and software engineers to improve performance and support lower uses of power and energy in the design of complex multicore SoCs, ASIC IP, and FPGAs.

“Developing more advanced machine learning/AI for smarter IoT applications for ASICs and FPGAs continues to require deeper application insights, parallelism detection, and memory optimization to reduce design times,” said Jordon Inkeles, Vice President of Product, Silexica. “Being part of Mentor’s Catapult HLS ecosystem to develop an effective HLS methodology are challenges we are committed to solving so that our customers and partners can develop innovative products.”

About Silexica

Silexica provides software development tools reducing time-to-market of innovative software IP and intelligent products. Enabled by deep software analysis, heterogeneous hardware awareness and quick design space exploration, the SLX programming tools accelerate the journey from software to application-specific hardware systems, democratizing accelerated computing.

Founded in 2014, Silexica is headquartered in Germany with offices in the US and Japan. It serves innovative companies in the automotive, robotics, wireless communications, aerospace, and financial industries and has received $28M in funding from international investors.

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