5ASXBB3D6F40C6N
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Package / Case | 1517-BBGA, FCBGA |
| Operating Temperature | 0°C~85°C TJ |
| Packaging | Tray |
| Series | Arria V SX |
| Part Status | Active |
| Moisture Sensitivity Level (MSL) | 3 (168 Hours) |
| Base Part Number | 5ASXBB3 |
| Number of I/O | MCU - 208, FPGA - 540 |
| Speed | 700MHz |
| RAM Size | 64KB |
| Core Processor | Dual ARM® Cortex®-A9 MPCore™ with CoreSight™ |
| Peripherals | DMA, POR, WDT |
| Connectivity | EBI/EMI, Ethernet, I2C, MMC/SD/SDIO, SPI, UART/USART, USB OTG |
| Architecture | MCU, FPGA |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY |
| Primary Attributes | FPGA - 350K Logic Elements |
| RoHS Status | RoHS Compliant |
This SoC is built on Dual ARM? Cortex?-A9 MPCore? with CoreSight? core processor(s).
On this SoC, there is Dual ARM? Cortex?-A9 MPCore? with CoreSight? core processor.There is a 1517-BBGA, FCBGA package assigned to this system on a chip by the manufacturer.As this SoC chip has 64KB RAM implemented, it provides reliable performance to its users.When it comes to internal architecture, this SoC design employs the MCU, FPGA technique.Arria V SX is the series name of this system on chip SoC.For this SoC meaning, the average operating temperature should be 0°C~85°C TJ.This SoC security combines FPGA - 350K Logic Elements, an important feature to keep in mind.It is packaged in a state-of-the-art Tray package.MCU - 208, FPGA - 540 I/Os are available in this SoC part.FIELD PROGRAMMABLE GATE ARRAY can be re-configured to serve different design needs.5ASXBB3 will give you system on chips with similar specifications and purposes.
Dual ARM? Cortex?-A9 MPCore? with CoreSight? processor.
64KB RAM.
Built on MCU, FPGA.
There are a lot of Intel
5ASXBB3D6F40C6N System On Chip (SoC) applications.
- Central inverter
- Functional safety for critical applications in the automotive
- Temperature
- Smartphone accessories
- Temperature Sensors
- Communication network-on-Chip (cNoC)
- Special Issue Information
- Efficient hardware for training of neural networks
- Vending machines
- Wireless networking
