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Name: M4A5-128/64-12YNI
Brand: Lattice Semiconductor Corporation
SKU: M4A5-128/64-12YNI
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Lattice Semiconductor Corporation M4A5-128/64-12YNI

Part No.:: M4A5-128/64-12YNI

Manufacturer:: Lattice Semiconductor Corporation

Package:: 100-BQFP

Datasheet:: M4A5-128/64-12YNI.pdf

Description:: IC CPLD 128MC 12NS 100QFP

In Stock:: 2661

Quantity:: Add To Cart

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M4A5-128/64-12YNI Specifications

Package/Case:
100-BQFP
Packaging:
Tray
Series:
ispMACH® 4A
ProductStatus:
Not For New Designs
ProgrammableType:
In System Programmable
DelayTimetpd(1)Max:
12 ns
VoltageSupply-Internal:
4.5V ~ 5.5V
NumberofLogicElements/Blocks:
-
NumberofMacrocells:
128
NumberofGates:
-
NumberofI/O:
64
OperatingTemperature:
-40°C ~ 85°C (TA)
MountingType:
Surface Mount

M4A5-128/64-12YNI this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including M4A5-128/64-12YNI 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 M4A5-128/64-12YNI 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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M4A5-128/64-12YNI information

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Common technical challenges and solutions when using M4A5-128/64-12YNI

M4A5-128/64-12YNI is a high-performance FPGA (Field-Programmable Gate Array) chip commonly used in advanced computing and signal processing applications. It offers a large number of logic cells, high-speed I/O interfaces, and flexible programmability.

Technical Challenges:

When utilizing M4A5-128/64-12YNI in a design, several technical challenges may arise, including:

1. Noise: High-speed operation and densely packed logic cells can lead to electromagnetic interference (EMI) and signal integrity issues, causing noise and reliability concerns.

2. Power Consumption: The complexity of FPGA designs and the need for high-speed processing can result in increased power consumption, impacting system efficiency and thermal management.

3. Integration Complexity: Integrating M4A5-128/64-12YNI into a larger system architecture with other components such as microcontrollers, memory modules, and communication interfaces can pose integration challenges and require careful planning.

Solutions and Improvements:

To address these challenges and enhance the performance and reliability of systems utilizing M4A5-128/64-12YNI, the following strategies can be employed:

1. Noise Mitigation: Implement proper EMI shielding, signal termination techniques, and ground/power plane design to reduce noise and ensure signal integrity. Additionally, use low-noise power supplies and bypass capacitors for noise suppression.

2. Power Optimization: Utilize power gating techniques, clock gating, and dynamic voltage/frequency scaling to minimize power consumption during idle or low activity periods. Optimize FPGA logic and routing to reduce dynamic power dissipation.

3. System-Level Integration: Employ standardized communication protocols and interface standards to facilitate seamless integration of M4A5-128/64-12YNI with other system components. Utilize FPGA vendor-provided IP cores and development tools for faster integration and validation.

4. Thermal Management: Design efficient thermal solutions such as heat sinks, fans, and thermal vias to dissipate heat generated by M4A5-128/64-12YNI and ensure reliable operation within temperature limits.

5. Verification and Testing: Implement comprehensive testing methodologies, including simulation, emulation, and prototyping, to validate the functionality, performance, and reliability of the system design under various operating conditions.

Conclusion:

By addressing the technical challenges associated with M4A5-128/64-12YNI implementation through proactive design strategies and optimization techniques, designers can develop robust and efficient systems that meet the demands of modern computing and signal processing applications.

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