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Synopsys Webinar White 800x100 px Max Quality (1)
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ARC Processor Summit 2022 Your embedded edge starts here!

ARC Processor Summit 2022 Your embedded edge starts here!
by Synopsys on 08-15-2022 at 10:00 am

ARC Summit 2022

As embedded systems continue to become more complex and integrate greater functionality, SoC developers are faced with the challenge of developing more powerful, yet more energy-efficient devices. The processors used in these embedded applications must be efficient to deliver high levels of performance within limited power and silicon area budgets.

Why Attend?

Join us for the ARC® Processor Summit to hear our experts, users and ecosystem partners discuss the most recent trends and solutions that impact the development of SoCs for embedded applications. This event will provide you with in-depth information from industry leaders on the latest ARC processor IP and related hardware/software technologies that enable you to achieve differentiation in your chip or system design. Sessions will be followed by a networking reception where you can see live demos and chat with fellow attendees, our partners, and Synopsys experts.

Who Should Attend?

Whether you are a developer of chips, systems or software, the ARC Processor Summit will give you practical information to help you meet your unique performance, power and area requirements in the shortest amount of time.

Automotive

Comprehensive solutions that help drive security, safety & reliability into automotive systems

AI

Power-efficient hardware/software solutions to implement artificial intelligence technologies in next-gen SoCs

Enabling Technologies

Solutions to accelerate SoC and software development to meet target performance, power and area requirements

We look forward to seeing you in person at ARC Processor Summit!

Make the Safe Choice

  • Over 20 years of innovation delivering silicon-proven processor IP for embedded applications – billions of chips shipped annually
  • Industry’s second-leading processor by unit shipment
  • The safe choice with significant investment in development of safety and security processor

Industry’s Best Performance Efficiency for Embedded

  • Broad portfolio of proven 32-/64-bit CPU and DSP cores, subsystems and software development tools
  • Processor IP for a range of applications including ultra-low power AIoT, safety-critical automotive, and embedded vision with neural networks
  • Supported by a broad ecosystem of commercial and open-source tools, operating systems, and middleware

PPA Efficient, Configurable, Extensible

  • Optimized to deliver the best PPA efficiency in the industry for embedded SoCs
  • Highly configurable, allowing designers to optimize the performance, power, and area of each processor instance on their SoC
  • ARC Processor eXtension (APEX) technology to customize processor implementation

Rich ARC Ecosystem

  • Complete suite of development tools to efficiently build, debug, profile and optimize embedded software applications for ARC based designs
  • Broad 3rd party support provides access to ARC-optimized software and hardware solutions from leading commercial providers
  • Online access to a wide range of popular, proven free and open-source software and documentation

Register Today!

About Synopsys
Synopsys, Inc. (Nasdaq: SNPS) is the Silicon to Software™ partner for innovative companies developing the electronic products and software applications we rely on every day. As an S&P 500 company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and offers the industry’s broadest portfolio of application security testing tools and services. Whether you’re a system-on-chip (SoC) designer creating advanced semiconductors, or a software developer writing more secure, high-quality code, Synopsys has the solutions needed to deliver innovative products. Learn more at www.synopsys.com.

Also Read:

WEBINAR: Design and Verify State-of-the-Art RFICs using Synopsys / Ansys Custom Design Flow

DSP IP for High Performance Sensor Fusion on an Embedded Budget

Intelligently Optimizing Constrained Random

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