Key Features of Unified Selective Device Installer (USDI) - AMD Vivado 2025.1 introduces the Unified Selective Device Installer (USDI) for efficient FPGA and SoC design [1][3] - USDI allows users to download only necessary device files, streamlining installation and workflow [3] - USDI consolidates Vivado, Vitis, and related tools into a single installer with selective device file downloads [4] - The Filter Device section streamlines device selection by allowing users to search by device name or series [6] - Users can select specific devices within a series, further reducing download size and enabling tailored selection [8] Benefits of USDI - USDI reduces download size and disk space usage by up to 60% [4][11] - Installation times are faster, and valuable disk space is saved, improving setup efficiency and system performance [6] - Tailoring the install speeds up the process, optimizes storage, and saves bandwidth [5] Specific Device Support and Examples - Selective installation currently applies to AMD Versal devices, allowing users to choose specific parts [4] - Downloading all devices from the Versal AI Edge Series in AMD Vivado 2024.2 required approximately 83 GB download size and 212 GB disk space [5] - With USDI, selecting all devices from the Versal AI Edge Series reduces the download size to 22 GB and disk space to 77 GB, a 60% reduction in download size [5] Offline Installation - USDI allows users to select specific devices for offline installation by downloading an image from the Web Installer [9] - Users can select "Download Image (Install Separately)" from the web installer setup and choose the required Versal devices [10]

Welcome to the Reducing Clock Skew in AMD Versal Devices tech module. Here is the agenda for this tech module. We will focus on describing the enhancement in AMD Versal clocking architecture​.Explaining how to use Basic Deskew in AMD Versal devices​. Explaining how to use Calibrated Deskew feature in AMD Versal SSIT devices. ​First and foremost, The AMD Versal Adaptive SoC is a fully software-programmable, heterogeneous compute platform with hardened IPs that makes you more adaptable and well positioned to ...

Core Viewpoint - The article discusses the evolution and significance of Field Programmable Gate Arrays (FPGAs) developed by Xilinx, highlighting their impact on the semiconductor industry and their integration into various applications, especially in AI and edge computing [2][6]. Group 1: Historical Development - Xilinx introduced the first FPGA chip, XC2064, in June 1985, featuring 600 gates and a frequency of 70MHz, marking a significant advancement in semiconductor technology [2]. - The company was founded in 1984 by Ross Freeman, Bernard Vonderschmitt, and James Barnett, aiming to create programmable logic devices using transistor arrays instead of traditional methods [4]. - Xilinx pioneered a foundry-less model, collaborating with companies like UMC and IBM for chip manufacturing [4]. Group 2: Leadership and Growth - The leadership of Xilinx has seen several transitions, with notable CEOs including Willem Roelandts and Moshe Gavrielov, who emphasized the company's continuous innovation and market expansion [5][6]. - The acquisition by AMD in February 2022 positioned Xilinx within AMD's Adaptive and Embedded Computing Group, enhancing its capabilities in embedded x86 processors [6]. Group 3: Technological Advancements - FPGAs allow for real-time reconfiguration, enabling changes in device functionality even during operation, which is particularly beneficial for applications in AI and edge computing [6][8]. - The technology has found early adoption in the fintech sector, leveraging real-time processing capabilities [8]. - Xilinx's FPGAs are also gaining traction in the automotive industry, particularly in areas like embedded AI and advanced driver-assistance systems (ADAS) [8]. Group 4: Future Prospects - The company is advancing its technology with plans for 20nm components by 2040 and continuing production of older components, indicating a long-term commitment to supporting legacy devices [12]. - Xilinx is focusing on integrating advanced process technologies, including 6nm and 2nm nodes, to enhance its FPGA offerings [11][12].