XCVU11P-1FLGC2104E Allicdata Electronics
Allicdata Part #:

XCVU11P-1FLGC2104E-ND

Manufacturer Part#:

XCVU11P-1FLGC2104E

Price: $ 21.48
Product Category:

Integrated Circuits (ICs)

Manufacturer: Xilinx Inc.
Short Description: IC FPGA VIRTEX-UP 2104FCBGA
More Detail: N/A
DataSheet: XCVU11P-1FLGC2104E datasheetXCVU11P-1FLGC2104E Datasheet/PDF
Quantity: 1000
1 +: $ 19.53000
Stock 1000Can Ship Immediately
$ 21.48
Specifications
Series: Virtex® UltraScale+™
Part Status: Active
Number of LABs/CLBs: 162000
Number of Logic Elements/Cells: 2835000
Total RAM Bits: 396150400
Number of I/O: 416
Voltage - Supply: 0.825 V ~ 0.876 V
Mounting Type: Surface Mount
Operating Temperature: 0°C ~ 100°C (TJ)
Description

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Embedded - FPGAs (Field Programmable Gate Array) are integrated circuits that are designed to be programmable after manufacture. The XCVU11P-1FLGC2104E can be classified into this category. Before we discuss its application fields and working principle, it is useful to understand the construction of these chip designs.

The XCVU11P-1FLGC2104E contains three main components. The first is the programmable logic blocks which include logic gates, and segmented logic, memory, and clock inputs. The second is the interconnect network which consists of routing paths and selectable connections. This portion contains the structure of the chip which in this case is based on the Xilinx Virtex UltraScale+ FPGA architecture, the most advanced FPGA architecture currently on the market.

The third and final component is the embedded processor core which contains software code and algorithms. These components work together and create a single, powerful integrated circuit.A key application for XCVU11P-1FLGC2104E chips is machine learning workloads. With this FPGA, companies can accelerate machine learning by providing on-board processing power, reducing the need to offload tasks to the cloud or an external machine. This provides near-instantaneious response times for machine learning tasks, allowing for efficient and accurate predictions.

The working principles behind this chip are quite simple. First, data is loaded into the FPGA from external sources. Then, the FPGA’s programmable logic blocks process the data to create a specific set of instructions. Next, the interconnect network translates the instructions and routes them to the appropriate registers. Finally, the embedded processor core executes the instructions, thereby completing the task.

In addition to machine learning-related tasks, XCVU11P-1FLGC2104E is also used in a wide range of applications, such as image processing, cryptographic tasks, and data acquisition. The FPGA\'s programmable logic blocks and interconnect network provide flexibility and scalability, which means the chip can be used in a variety of scenarios. This flexibility helps companies to quickly re-design the architecture of their systems to fit the changing needs of their products.

The XCVU11P-1FLGC2104E is a highly advanced FPGA offering a wide range of applications and uses. Its powerful programmable logic blocks and embedded processor cores can be used to accelerate machine learning and data processing tasks, while its FlexRay-compatible router ensures fast, reliable communication. The FPGA\'s scalability and flexibility make it an ideal choice for a wide range of applications.

The specific data is subject to PDF, and the above content is for reference

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