EP3SL340F1760C2

FPGAs Altera (Intel) EP3SL340F1760C2 Overview

The FPGAs Altera (Intel) EP3SL340F1760C2 is a high-performance integrated circuit designed to meet the demanding requirements of modern digital systems. Manufactured by Altera (now part of Intel), this FPGA features a robust 1760-pin FBGA package that facilitates complex and versatile applications. With a focus on providing substantial I/O capabilities and flexible configuration options, the EP3SL340F1760C2 serves as an ideal solution for designers aiming to develop advanced digital systems that require high-speed data processing and significant logic density.

EP3SL340F1760C2 Features

This particular FPGA model is equipped with 1120 I/O pins, providing ample flexibility for various design needs. The device supports a wide range of digital and analog functionalities, making it highly adaptable to both standard and specialized applications. The EP3SL340F1760C2 is built on Intel's advanced technology, ensuring high performance, reliability, and the ability to handle complex, multi-functional system designs.

EP3SL340F1760C2 Applications

• Telecommunications Equipment: Utilized in the development of high-speed network devices such as routers, switches, and signal processing systems, where large volumes of data transfer and real-time processing are crucial.
• Automotive Systems: Applied in advanced driver-assistance systems (ADAS) and infotainment systems, providing the necessary computing power and interfacing capabilities required in modern vehicles.
• Industrial Automation: Serves as the computational backbone in automation controllers and real-time processing units that require high I/O counts and extensive programmability to manage complex tasks efficiently.
• Consumer Electronics: Used in devices requiring intensive video and image processing, such as high-definition televisions and gaming consoles, where performance and flexibility are key.
• Medical Devices: Integral in the design of medical imaging systems like MRI and ultrasound scanners, where precision and the ability to process large datasets quickly are essential.