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Name: M2GL050T-FGG896
Brand: Microchip Technology
SKU: M2GL050T-FGG896
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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Microchip Technology M2GL050T-FGG896

Part No.:: M2GL050T-FGG896

Manufacturer:: Microchip Technology

Package:: 896-BGA

Datasheet:: M2GL050T-FGG896.pdf

Description:: IC FPGA 377 I/O 896FBGA

In Stock:: 2171

Quantity:: Add To Cart

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M2GL050T-FGG896 Specifications

Package/Case:
896-BGA
Packaging:
Tray
Series:
IGLOO2
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
56340
TotalRAMBits:
1869824
NumberofI/O:
377
NumberofGates:
-
Voltage-Supply:
1.14V ~ 2.625V
MountingType:
Surface Mount
OperatingTemperature:
0°C ~ 85°C (TJ)

M2GL050T-FGG896 this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M2GL050T-FGG896 price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for M2GL050T-FGG896 to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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M2GL050T-FGG896 information

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M2GL050T-FGG896 application case analysis in emerging technology fields

M2GL050T-FGG896 is a field-programmable gate array (FPGA) device known for its high performance and versatility, widely used in various applications ranging from telecommunications to automotive systems.

Application Scenario:

In autonomous vehicles, M2GL050T-FGG896 can be utilized to implement complex algorithms for real-time data processing, sensor fusion, and decision-making, enhancing vehicle safety and efficiency.

System Architecture:

To implement autonomous driving features using M2GL050T-FGG896, the system architecture typically includes:

1. Sensor Integration:

Integrate various sensors, such as LiDAR, radar, cameras, and ultrasonic sensors, to capture environmental data. Utilize the high-speed interfaces and processing capabilities of M2GL050T-FGG896 to process sensor data in real-time.

2. Perception and Fusion:

Implement perception algorithms to interpret sensor data and extract relevant information about the vehicle's surroundings. Use FPGA resources to fuse data from multiple sensors, enhancing the accuracy and reliability of the perception system.

3. Decision Making:

Develop decision-making algorithms to analyze the fused sensor data and make real-time decisions, such as vehicle trajectory planning, obstacle avoidance, and lane keeping. Leverage the parallel processing capabilities of M2GL050T-FGG896 to handle complex decision-making tasks efficiently.

4. Control System:

Implement control algorithms to execute the decisions made by the autonomous driving system. Utilize FPGA resources to generate precise control signals for actuating vehicle actuators, such as steering, throttle, and brakes.

5. Communication:

Establish communication interfaces, such as CAN bus or Ethernet, for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. Utilize FPGA resources to handle high-speed data transmission and ensure reliable communication.

Benefits:

- High Performance: M2GL050T-FGG896 offers high processing throughput and low latency, enabling real-time decision-making in autonomous driving systems.

- Flexibility: The reconfigurable nature of FPGAs allows for iterative development and customization of algorithms, accommodating evolving requirements in autonomous vehicle technology.

- Scalability: M2GL050T-FGG896 can scale to support increasingly complex autonomous driving features, such as advanced driver-assistance systems (ADAS) and full autonomy.

- Reliability: FPGAs are known for their reliability and fault tolerance, crucial for ensuring the safety and robustness of autonomous driving systems.

- Integration: M2GL050T-FGG896 integrates various components of the autonomous driving system into a single device, reducing system complexity and cost.

Considerations:

- Power Efficiency: Optimize FPGA design and algorithms for low power consumption to prolong battery life in electric and hybrid vehicles.

- Functional Safety: Implement safety mechanisms and redundancy features to comply with automotive safety standards, such as ISO 26262.

- Environmental Robustness: Ensure the autonomous driving system can operate reliably in various environmental conditions, such as adverse weather and lighting conditions.

- Validation and Testing: Thoroughly validate the autonomous driving system through simulation, testing, and validation on real-world driving scenarios to ensure safety and performance.

M2GL050T-FGG896 FAQ

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3. Are the M2GL050T-FGG896 price and inventory displayed accurate?

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6. What is the process for return or replacement of M2GL050T-FGG896?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the M2GL050T-FGG896 we delivered, we will accept the replacement or return of the M2GL050T-FGG896 only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

(2)We are informed of the defect described above within 90 days after the delivery of M2GL050T-FGG896.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations