Why xilinx is used




















Designed for high-bandwidth, low-latency servers, networking, and storage applications to bring higher value into cloud deployments. High Performance Computing. Xilinx platforms and solutions provide levels of performance and systems integration that go beyond typical microprocessor, DSP and ASIC capability for factory automation and industrial imaging applications.

From basestations to microwave backhaul to satellite communications, Xilinx is enabling faster, more cost-efficient wireless communications worldwide and advancing equipment manufacturers ahead of the competition. Feedback Close. Internet Explorer is no longer supported by Xilinx. Explosion of Data. Dawn of AI. Deployed at Global Scale. We Are Enabling Breakthroughs in Data Center Technology By building user-friendly development tools, growing the compute ecosystem, and accelerating the most critical data center applications.

System Debugger Supported Design Flows. Multi-Processor Debugging with System Debugger. Using a Remote Host with System Debugger. Viewing Memory Contents. Viewing Target Registers. Viewing IP Register Details. OS Aware Debugging. Xen Aware Debugging. Debugging Self-relocating Programs. Multi-Cable and Multi-Device Support. XSCT Commands. Software Profiling Profiling tools in SDK help identify bottle necks in your code occurring due to the interaction of functions that are executed within the programmable logic, and on the processor.

SDK supports hierarchical profiling - allowing the user to view which called functions, or which calling functions are affecting processor performance the most. TCF Profiling. Profiling Linux Applications with System Debugger. Performance Analysis Creating high-performing SoC based systems takes time and requires insight into the interactions between the software and the peripherals.

Tools that allow you to gather performance data and visualize your system are critical to achieving performance targets.

Working with Performance Analysis Perspective. System Performance Modeling.



0コメント

  • 1000 / 1000