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Using Xilinx's VivadoHLS high-level language synthesis tool, you can easily convert OpenCV C video processing design to RTL code, output Zynq's hardware accelerator or directly implement real-time hardware video processing on FPGA. OpenCV has thousands of users, and OpenCV is designed to run on ARM processors of Zynq devices without modification, but high-definition processing using OpenCV is often limited by external memory, especially memory bandwidth can become a performance bottleneck, Memory access also limits power efficiency.

The XilinxVivadoHLS high-level synthesis tool can directly create RTL hardware with code written in C/C, significantly improving design productivity. At the same time, Xilinx Zynq all-programmable SoC series devices embed dual-core ARM Cortex-A9 processors to combine software programmability with FPGA hardware The perfect combination of programmability enables high system performance, flexibility and scalability of a single chip with system advantages such as low power consumption and low cost, and accelerates the time-to-market for graphics processing product designs. Open Source Computer Vision (OpenCV) is widely used to develop computer vision applications, and it contains a library of more than 2500 optimized video functions and is specifically optimized for desktop processors and GPUs.

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XQ7K325T

The Zynq-7000 All Programammble SoC features a dual-core ARM Cortex™-A9 MPCore application-level processor and also provides integration of complex motion algorithms, modulation mechanisms, motor tuning, industrial Ethernet, multi-motor control, early bus, ADC for sensor input A single-chip motor control platform that integrates key functions and components such as system management.

FAGP runs on a variety of accelerator cards on-premises or in the cloud, including AWS, Huawei, and Alibaba. FireSim is a cycle-accurate open-source FPGA-accelerated full-system hardware simulation platform running on cloud FPGAs (Amazon EC2 F1). FAGP (Falcon Accelerated Genomics Pipelines) is an accelerated genome analysis software solution that runs on Xilinx Alveo accelerator cards to provide faster turnaround times for computationally intensive algorithms in the life sciences.

At the same time, Xilinx's Zynq All-programmable SoC is a good way to implement embedded computer vision applications, solving the limitations of low-power and high-power video processing on a single processor, Zynq high-performance programmable logic and embedded ARM cores , is an integrated solution for image processing with optimized performance and power consumption.

FPGA accelerated HEIF-to-JPEG transcoder, HEVC decoding Free version of FPGA HEVC decoder on AWS F1 instances. FPGA-Accelerated Derivatives Pricing Models This work is well suited to address the computationally intensive and high operational costs associated with derivatives portfolio and risk management services within financial institutions.

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However, at 7nm, FPGA speed and density are greatly increased, and power consumption is also lower, so this competitive landscape may change, especially for ASICs and FPGAs. Intel's 10nm is still delayed, allowing Xilinx to dominate the FPGA market after acquiring Altera, in addition to the cloud market that Intel is focusing on. Split the SoC prototyping and emulation market. Flexibility and adaptability are the main selling points of ACAP. Especially in the era of artificial intelligence, Xilinx also hopes to realize the future of Intel and Nvidia through this advantage. Apparently this applies to Intel and Nvidia. The introduction of ACAP will help Xilinx compete with higher-level competitors in new markets. The competition between FPGAs and ASICs will continue.

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.