LCMXO640E-3B256I
- Mfr.Part #
- LCMXO640E-3B256I
- Manufacturer
- Lattice Semiconductor
- Package / Case
- 256-LFBGA, CSPBGA
- Datasheet
- Download
- Description
- IC FPGA 159 I/O 256CABGA
- Stock
- 9,500
- In Stock :
- 9,500
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- Manufacturer :
- Lattice Semiconductor
- Product Category :
- FPGAs (Field Programmable Gate Array)
- Operating Supply Current :
- 14mA
- Supply Voltage :
- 1.2V
- Mount :
- Surface Mount
- Series :
- MachXO
- Number of LABs/CLBs :
- 80
- Number of I/O :
- 159
- Clock Frequency :
- 420MHz
- Operating Supply Voltage :
- 1.2V
- Operating Temperature :
- -40°C~100°C TJ
- Terminal Position :
- BOTTOM
- Pin Count :
- 256
- Lead Free :
- Lead Free
- Number of Macro Cells :
- 320
- Peak Reflow Temperature (Cel) :
- 240
- Terminal Finish :
- Tin/Lead (Sn/Pb)
- Base Part Number :
- LCMXO640
- Number of Logic Cells :
- 640
- Time@Peak Reflow Temperature-Max (s) :
- 30
- Reach Compliance Code :
- not_compliant
- Qualification Status :
- Not Qualified
- Published :
- 2013
- ECCN Code :
- EAR99
- RoHS Status :
- Non-RoHS Compliant
- Pbfree Code :
- No
- Terminal Pitch :
- 0.8mm
- Programmable Logic Type :
- FLASH PLD
- Width :
- 14mm
- Length :
- 14mm
- Number of Dedicated Inputs :
- 7
- Number of Outputs :
- 159
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- HTS Code :
- 8542.39.00.01
- Height Seated (Max) :
- 1.7mm
- Voltage - Supply :
- 1.14V~1.26V
- Number of Logic Elements/Cells :
- 640
- JESD-609 Code :
- e0
- Terminal Form :
- Ball
- Number of Inputs :
- 159
- Memory Type :
- SRAM
- Packaging :
- Tray
- Mounting Type :
- Surface Mount
- Output Function :
- MACROCELL
- Propagation Delay :
- 4.9 ns
- Number of Terminations :
- 256
- Nominal Supply Current :
- 14mA
- JESD-30 Code :
- S-PBGA-B256
- Package / Case :
- 256-LFBGA, CSPBGA
- Datasheets
- LCMXO640E-3B256I

FPGAs Lattice Semiconductor LCMXO640E-3B256I Overview
The LCMXO640E-3B256I, part of Lattice Semiconductor's extensive FPGA portfolio, is engineered to meet the demanding requirements of modern digital applications. This FPGA (Field Programmable Gate Array) features a high-density, low-power programmable logic solution encapsulated in a 256CABGA package, making it ideal for space-constrained environments. Its versatility and robust performance attributes make the FPGAs Lattice Semiconductor LCMXO640E-3B256I a preferred choice for designers aiming to optimize their systems for both performance and cost, ensuring seamless integration into various applications while supporting rapid development cycles.
LCMXO640E-3B256I Features
The LCMXO640E-3B256I offers an array of features conducive to efficient and flexible design. It provides 159 I/O pins, enabling broad connectivity options and interface capabilities. The device operates efficiently with a power supply of 3.3 volts and supports a wide range of digital signaling, which ensures compatibility with numerous digital environments. Its compact 256CABGA packaging is specifically designed to fit into tight spaces without sacrificing performance, making it an excellent choice for densely-packed electronics.
LCMXO640E-3B256I Applications
- Consumer Electronics: Used in devices like smart TVs and gaming consoles, the LCMXO640E-3B256I facilitates rapid signal processing capabilities essential for enhancing user experience with high-resolution graphics and real-time responsiveness.
- Automotive Systems: Integrates into automotive applications such as infotainment systems and advanced driver assistance systems (ADAS), where reliability and the ability to perform multiple functions simultaneously are crucial.
- Industrial Automation: In industrial settings, this FPGA is applied in control systems and robotics, offering the necessary speed and flexibility for real-time process control and machine automation.
- Telecommunications: Utilized in network equipment like routers and switches, the LCMXO640E-3B256I supports complex algorithms required for data packet processing and signal integrity maintenance across high-speed networks.
- Medical Devices: Employs in medical imaging systems, where it processes complex algorithms needed for real-time image rendering and analysis, enhancing diagnostic capabilities.
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