XQ7V585T-1RF17...

  • 2022-09-24 14:42:51

XQ7V585T-1RF1761I

XQ7V585T-1RF1761I_XCV100-4CS144I Looking for [Aerospace Military Industry] Guide

The X2562 is sampling now and will be available in volume in the second quarter of 2020. Xilinx also introduced the new XtremeScale X2562 10/25Gb Ethernet adapter card, which complies with the OCP Spec 3.0 form factor. Designed for high-performance electronic trading environments and enterprise-class data centers, the X2562 delivers sub-microsecond latency, high throughput, and hyperscale connectivity to connect real-time packets and traffic to thousands of virtual NICs .

In order to better adapt to the new world of intelligent interconnection, Xilinx continues to take "flexible platform" as the core of its products, seizes new industrial opportunities, and formulates three major development strategies to support wider market applications. Victor Peng pointed out that the first strategy is "data center first." In the data center space, it is important to realize that Xilinx can support not only compute acceleration and data center applications, but also value-creating storage and networking.

XQ7V585T-1RF1761I_XCV100-4CS144I looking for [Aerospace Military Industry]

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Go language to FPGA platform builds custom, reprogrammable, low-latency accelerators using software-defined chips. The resulting archive conforms to the RFC 1952 GZIP file format specification. The GZIP accelerator provides hardware-accelerated gzip compression up to 25 times faster than CPU compression. It is a preconfigured, ready-to-run image for executing Dijkstra's shortest path search algorithm on Amazon's FGPA-accelerated F1. GraphSim is a graph-based ArtSim SSSP algorithm.

DRAGEN Complete Suite - Ultra-Fast Analysis of Next Generation Sequencing - Exome The DRAGEN Complete Suite (Exome) enables next generation sequencing (NGS) data on large datasets such as whole exomes and target groups.

The VivadoHLS video library is used to replace many basic OpenCV functions. It has similar interfaces and algorithms to OpenCV. It is mainly aimed at image processing functions implemented in the FPGA architecture, and includes FPGA-specific optimizations, such as fixed-point operations instead of floating-point operations. (Not necessarily accurate to bits), on-chip line buffer (line buffer) and window buffer (window buffer). Figure 2.1 shows the system architecture for implementing video processing on a Xilinx Zynq AP SoC device.

Descartes High Efficiency Speech Recognition Engine (using LSTM) This is an end-to-end ASR (Automatic Speech Recognition) system provided by DeePhi that enables FPGA acceleration on AWS F1.

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In addition, Xilinx has released the world's first FPGA-based Open Compute Accelerator Module (OAM) proof-of-concept board. Based on Xilinx UltraScale+™ VU37P FPGA and equipped with 8GB HBM memory, the mezzanine card complies with the Open Accelerator Infrastructure (OAI) specification and can support seven 25Gbps x8 links, providing a rich inter-module system topology for distributed acceleration.

In the global fpga market, Xilinx and altera have a market share of about 90%. Sales revenue was US$850 million, an increase of 24% over the same period last year; net profit was US$241 million, an increase of 27% over the same period last year. On the one hand, chip manufacturers need to rely on FPGAs for simulation and prototyping; on the other hand, CPUs, GPUs, FPGAs, and ASICs (application-specific integrated circuits) are increasingly competing in the AI market. Even in the chip design of cpu and other chip giants such as Xilinx and intel, they will first simulate on the fpga, and then perform the streaming processing of the chip, not to mention the AI-specific chips launched by many AI algorithm companies in recent years. . With the development of 5G and artificial intelligence, it is expected that by 2025, the scale of FPGAs will reach about 12.521 billion US dollars. In 2013, the global FPGA market size was $4.563 billion, and by 2018, this figure will grow to $6.335 billion.

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