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  1. Xilinx - Adaptable. Intelligent.
  2. Developer Tools

Developer Tools

Developer Tools is a one-stop shop for everything you need to get going – fast! Learn how Xilinx is enabling smarter, connected, and differentiated systems and networks.

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reVISION Machine Learning Accelerated Computing
Software Hardware System

Software

Xilinx and its third-party ecosystem provide software development environments and embedded platforms that offer a comprehensive set of familiar and powerful tools, libraries and methodologies. These environments lower your development time while allowing you to create custom hardware accelerators easily and on demand.

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SDAccel

Delivering GPU and CPU-like Programming Experience for Data Center Workload Acceleration

SDSoC

Familiar Embedded C/C++ Application Development Experience

Embedded Development

Embedded Runtime Software, Development Platforms, Tools, and Open Source Resources

Hardware

To capitalize on the benefits of system integration, design teams require state of the art hardware architectures, design flows, and a proven methodology that maximizes productivity from concept through implementation and debug.

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Vivado HLx ISE Design Suites

Accelerate your Design Productivity

UltraFast Design Methodology

Comprehensive Design Methodology and Best Practices

Intellectual Property

Xilinx and Partner Ecosystem Plug-and-Play IP

Boards, Kits, and Modules

Development to Production

System

In today’s competitive marketplace, having the ability to rapidly prototype, validate and deploy complex systems can translate to significant time to market advantages. Xilinx programmable SoC, MPSoC and RFSoC devices integrate the software programmability of a processor with the hardware programmability of an FPGA, providing with unrivaled levels of system performance, flexibility, and scalability.

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MathWorks

Model-Based Design

National Instruments

Platform-based Design

Providing machines the ability to see and sense the world creates unique opportunities for differentiation; however, this also creates challenges in how next generation architectures are designed and brought to market. The massive undertaking of integrating disparate sensors and sub-systems like video and vision I/O, multiple image processing pipelines, and enabling embedded systems to perform real-time analytics is a complex task. Find out how leading development teams are exploiting Zynq SoCs and MPSoCs in their next generation systems.

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Accelerated Computing

Cloud data centers are changing. Today’s CPUs have not been able to keep up with today’s compute-intensive applications like machine learning, data analytics, and video processing. Coupled with increasing bottlenecks in networking and storage, cloud service providers have turned to accelerators to increase the overall throughput and efficiency of their cloud data centers.

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Machine Learning

Machine learning applications are rapidly expanding across a growing number of end markets, resident at the edge, in the cloud, or a hybrid of both. Xilinx provides the development stacks and hardware platforms for deploying advanced and efficient neural networks, algorithms and applications.

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