5ASXBB5D4F35C4N Allicdata Electronics
Allicdata Part #:

5ASXBB5D4F35C4N-ND

Manufacturer Part#:

5ASXBB5D4F35C4N

Price: $ 2.08
Product Category:

Integrated Circuits (ICs)

Manufacturer: Intel FPGAs/Altera
Short Description: IC FPGA 350 I/O 1152FBGA
More Detail: Dual ARM® Cortex®-A9 MPCore™ with CoreSight™ Syste...
DataSheet: 5ASXBB5D4F35C4N datasheet5ASXBB5D4F35C4N Datasheet/PDF
Quantity: 1000
24 +: $ 1.89000
Stock 1000Can Ship Immediately
$ 2.08
Specifications
Series: Arria V SX
Packaging: Tray 
Part Status: Active
Architecture: MCU, FPGA
Core Processor: Dual ARM® Cortex®-A9 MPCore™ with CoreSight™
Flash Size: --
RAM Size: 64KB
Peripherals: DMA, POR, WDT
Connectivity: EBI/EMI, Ethernet, I²C, MMC/SD/SDIO, SPI, UART/USART, USB OTG
Speed: 925MHz
Primary Attributes: FPGA - 462K Logic Elements
Operating Temperature: 0°C ~ 85°C (TJ)
Package / Case: 1152-BBGA, FCBGA
Supplier Device Package: 1152-FBGA (35x35)
Number of I/O: MCU - 208, FPGA - 385
Base Part Number: 5ASXBB5
Description

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Embedded - System On Chip (SoC)

The 5ASXBB5D4F35C4N is an embedded System on Chip (SoC) designed for a wide variety of applications. It is built on an open-source 40nm process, allowing for higher operating frequencies, higher integration density, and lower power consumption. It is also designed with modularity in mind, allowing users to easily upgrade with additional components.

The 5ASXBB5D4F35C4N is built on a highly-integrated system that combines a processor core, memory, flash memory, specialized peripherals such as ADC, and more. This allows 5ASXBB5D4F35C4N to enhance performance while reducing the size of the design. It also supports a rich set of peripherals and interfaces, allowing designers to create small form-factor products.

Application Field of 5ASXBB5D4F35C4N

The 5ASXBB5D4F35C4N is suitable for a wide range of applications including internet of things, home automation, wireless sensor networks, industrial automation, automotive, gaming, and healthcare. The 5ASXBB5D4F35C4N provides a high degree of flexibility, allowing designers to configure it for their specific requirements. Additionally, its native integration for sensors, connectivity, and graphics, makes it ideal for low-power embedded applications.

The 5ASXBB5D4F35C4N is especially suitable for use in medical devices. Its integrated sensor fusion technology, which combines several sensors, allows for accurate and reliable results. Its high integration and low power consumption also make it well-suited for medical monitoring and telemetry applications.

The 5ASXBB5D4F35C4N is also ideal for industrial applications. Its modular design makes it easy to customize for different requirements, while its integrated interface and rich peripherals make it perfect for communication, automation, and process control.

Working Principle of 5ASXBB5D4F35C4N

The 5ASXBB5D4F35C4N is based on the ARM Cortex M0 processor core and includes a built-in cache, as well as supporting a range of external memories, flash memory, and special peripherals. Its flexible design allows for integration of multiple manufacturer IP cores and fast prototyping capability. It supports real-time operating systems and supports a variety of programming languages.

At the heart of the 5ASXBB5D4F35C4N is a specialized processor designed for fast boot, low power consumption, and efficient performance. Its low power consumption makes it ideal for battery-powered devices, and its integrated security capabilities ensure that sensitive data and code can remain protected.

The 5ASXBB5D4F35C4N also provides a high degree of connectivity and is compliant with many communication protocols including Bluetooth Low Energy, ZigBee, and NFC. It also includes a specialized set of peripherals such as timers, counters, and pulse width modulators, which provide a higher level of precision and control.

The 5ASXBB5D4F35C4N is designed for flexibility and user-friendliness. It can be configured for different operating conditions, and its modular architecture allows for easy updates and upgrades. The combination of its flexibility, low power consumption, modularity, and connectivity make it ideal for a wide variety of embedded applications.

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

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