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Name: 5SGXEA7H2F35I3LN
Brand: Intel
SKU: 5SGXEA7H2F35I3LN
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Intel 5SGXEA7H2F35I3LN

Part No.:: 5SGXEA7H2F35I3LN

Manufacturer:: Intel

Package:: 1152-BBGA, FCBGA

Datasheet:: 5SGXEA7H2F35I3LN.pdf

Description:: IC FPGA 552 I/O 1152FBGA

In Stock:: 3093

Quantity:: Add To Cart

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5SGXEA7H2F35I3LN Specifications

Package/Case:
1152-BBGA, FCBGA
Packaging:
Tray
Series:
Stratix® V GX
ProductStatus:
Obsolete
NumberofLABs/CLBs:
234720
NumberofLogicElements/Cells:
622000
TotalRAMBits:
51200000
NumberofI/O:
552
NumberofGates:
-
Voltage-Supply:
0.82V ~ 0.88V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

5SGXEA7H2F35I3LN this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including 5SGXEA7H2F35I3LN 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 5SGXEA7H2F35I3LN 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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5SGXEA7H2F35I3LN information

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The application and technological advancement of 5SGXEA7H2F35I3LN in specific industries

5SGXEA7H2F35I3LN is a high-capacity field-programmable gate array (FPGA) designed by Intel, offering advanced features and performance for various applications in the automotive industry.

Application Scenario:

In automotive electronics, 5SGXEA7H2F35I3LN can revolutionize vehicle control systems, particularly in autonomous driving technology.

Circuit Design:

To integrate 5SGXEA7H2F35I3LN into an autonomous driving system, consider the following steps:

1. Sensor Fusion:

Connect various sensors, such as LiDAR, RADAR, and cameras, to the input interfaces of 5SGXEA7H2F35I3LN. Implement algorithms for sensor fusion to combine data from multiple sensors and generate a comprehensive perception of the vehicle's surroundings.

2. Decision Making:

Utilize the computational power of 5SGXEA7H2F35I3LN to process sensor data in real-time and make decisions regarding vehicle control, such as steering, acceleration, and braking. Implement advanced algorithms, including machine learning models, for decision-making tasks.

3. Communication:

Implement communication interfaces, such as CAN bus or Ethernet, to exchange data with other vehicle systems, including propulsion, braking, and chassis control units. Configure the communication protocols and interfaces within 5SGXEA7H2F35I3LN to ensure seamless integration with the vehicle's network.

4. Safety and Redundancy:

Design redundancy and fail-safe mechanisms within the 5SGXEA7H2F35I3LN system to ensure the safety of autonomous driving operations. Implement error detection and correction algorithms to mitigate potential hardware and software failures.

5. System Optimization:

Optimize the utilization of 5SGXEA7H2F35I3LN resources, including logic elements, memory blocks, and DSP slices, to meet the performance and power requirements of the autonomous driving system. Implement efficient algorithms and hardware architectures to minimize resource usage while maximizing computational throughput.

Considerations:

When designing the autonomous driving system with 5SGXEA7H2F35I3LN, consider the following factors:

- Real-Time Performance: Ensure that the system can process sensor data and make control decisions within tight deadlines to meet the real-time requirements of autonomous driving.

- Functional Safety: Implement safety mechanisms and comply with relevant automotive safety standards, such as ISO 26262, to ensure the safe operation of the autonomous driving system.

- Environmental Conditions: Consider the operating environment, including temperature, humidity, and vibration, and design the system to withstand harsh automotive conditions.

- Scalability and Upgradability: Design the system architecture to allow for future upgrades and scalability to accommodate new sensors, algorithms, and features as autonomous driving technology evolves.

- Validation and Testing: Conduct extensive validation and testing, including simulation, emulation, and field testing, to verify the performance, reliability, and safety of the autonomous driving system before deployment in production vehicles.

5SGXEA7H2F35I3LN FAQ

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6. What is the process for return or replacement of 5SGXEA7H2F35I3LN?

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 5SGXEA7H2F35I3LN we delivered, we will accept the replacement or return of the 5SGXEA7H2F35I3LN 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 5SGXEA7H2F35I3LN.

(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