
AMD Xilinx
XC5VFX200T-1FF1738CES
XC5VFX200T-1FF1738CES ECAD Model
XC5VFX200T-1FF1738CES Attributes
Type | Description | Select |
---|---|---|
Mfr | AMD Xilinx | |
Series | Virtex®-5 FXT | |
Package | Tray | |
Number of LABs/CLBs | 15360 | |
Number of Logic Elements/Cells | 196608 | |
Total RAM Bits | 16809984 | |
Number of I/O | 960 | |
Voltage - Supply | 0.95V ~ 1.05V | |
Mounting Type | Surface Mount | |
Operating Temperature | 0°C ~ 85°C (TJ) | |
Package / Case | 1738-BBGA, FCBGA | |
Supplier Device Package | 1738-FCBGA (42.5x42.5) | |
Base Product Number | XC5VFX200T |
XC5VFX200T-1FF1738CES Datasheet Download
XC5VFX200T-1FF1738CES Overview
The XC5VFX200T-1FF1738CES is a Field Programmable Gate Array (FPGA) chip model designed by Xilinx. It is a high-end device that combines the logic and routing resources of a Virtex-5 FPGA with the signal processing capabilities of an embedded PowerPC processor. This chip model is suitable for applications such as digital signal processing, embedded systems, and high-performance computing.
The XC5VFX200T-1FF1738CES features a Virtex-5 FPGA logic core with 200K logic cells and 2.8 million system gates. It also includes four PowerPC 440 embedded processors with 64KB L1 and 512KB L2 caches. The chip has an on-chip memory controller that can support up to 1GB of DDR2 SDRAM memory. It also includes an 8-channel DMA controller and a 32-bit PCI Express interface.
In terms of I/O, the XC5VFX200T-1FF1738CES has a total of 108 I/O pins. These pins are divided into two banks of 54 pins each. The pins support a variety of I/O standards such as LVDS, LVCMOS, and SSTL. The chip also includes four dedicated clock inputs and four dedicated clock outputs.
The XC5VFX200T-1FF1738CES is suitable for a wide range of applications that require high-speed data processing and embedded systems. It can be used in applications such as wireless communication, automotive systems, industrial automation, medical imaging, and video processing. The device is also well suited for applications that require high-performance computing, such as image and video processing, data analytics, and machine learning.
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