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Name: 252PMLF
Brand: Renesas Electronics America Inc
SKU: 252PMLF
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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Renesas Electronics America Inc 252PMLF

Part No.:: 252PMLF

Manufacturer:: Renesas Electronics America Inc

Package:: 8-SOIC (0.154, 3.90mm Width)

Datasheet:: 252PMLF.pdf

Description:: IC CLK SYNTHESIZER FP DUAL 8SOIC

In Stock:: 3338

Quantity:: Add To Cart

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252PMLF Specifications

Package/Case:
8-SOIC (0.154, 3.90mm Width)
Packaging:
Tube
Series:
VersaClock®
ProductStatus:
Active
Type:
Clock/Frequency Synthesizer, Fanout Distribution, Spread Spectrum Clock Generator
PLL:
Yes with Bypass
Input:
Clock, Crystal
Output:
CMOS
NumberofCircuits:
1
Ratio-Input:Output:
1:2
Differential-Input:Output:
No/No
Frequency-Max:
200MHz
Divider/Multiplier:
Yes/Yes
Voltage-Supply:
3.135V ~ 3.465V
OperatingTemperature:
0°C ~ 70°C
MountingType:
Surface Mount

252PMLF this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including 252PMLF 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 252PMLF 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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Shipping & Handling

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The basic freight (for package ≤0.5kg or corresponding volume) depends on the time zone and countries.

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252PMLF information

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The working principle and core technical features of 252PMLF

252PMLF is a novel machine learning framework developed for efficient and scalable processing of large-scale data sets. It integrates advanced algorithms and optimization techniques to deliver state-of-the-art performance in various machine learning tasks.

Working Principle:

The 252PMLF framework operates by partitioning the input data into smaller subsets, which are distributed across multiple processing units, such as CPUs or GPUs. These subsets are then processed in parallel, leveraging the computational power of the underlying hardware resources. Intermediate results are aggregated and refined iteratively to generate the final output.

Core Technology Features:

- Distributed Computing: Utilizes parallel processing techniques to handle large-scale data efficiently across multiple computing nodes.

- Algorithmic Optimization: Incorporates optimized algorithms and data structures to minimize computational overhead and maximize processing speed.

- Scalability: Designed to scale seamlessly with increasing data volume and computational resources, ensuring consistent performance in diverse environments.

- Fault Tolerance: Implements mechanisms for fault detection and recovery to maintain system reliability and data integrity in distributed computing environments.

- Resource Management: Efficiently manages system resources, such as memory and processing units, to optimize performance and minimize resource contention.

Application Effectiveness:

In various real-world applications, such as:

- Big Data Analytics: Enables rapid analysis of large-scale data sets, facilitating insights discovery and decision-making in fields like finance, healthcare, and e-commerce.

- Natural Language Processing: Empowers advanced text analysis tasks, including sentiment analysis, language translation, and document classification, by efficiently processing vast amounts of textual data.

- Image Recognition: Accelerates image processing tasks, such as object detection, facial recognition, and image segmentation, by leveraging parallel computing capabilities for enhanced accuracy and speed.

Enhancing System Performance and Efficiency:

To enhance the overall performance and efficiency of systems utilizing 252PMLF, consider the following strategies:

- Optimized Hardware Configuration: Deploy the framework on hardware architectures optimized for parallel processing, such as multi-core CPUs or GPU clusters, to maximize computational throughput.

- Data Preprocessing: Implement efficient data preprocessing techniques, such as data normalization and feature scaling, to reduce input dimensionality and improve algorithm efficiency.

- Algorithm Selection: Choose machine learning algorithms tailored to the specific task requirements and data characteristics, considering factors like scalability, accuracy, and computational complexity.

- Distributed System Design: Design distributed computing architectures that balance workload distribution, minimize communication overhead, and ensure fault tolerance to maximize system scalability and reliability.

- Performance Tuning: Fine-tune system parameters, such as batch size, learning rate, and convergence criteria, to optimize algorithm performance and convergence speed for faster model training and inference.

252PMLF FAQ

1. How to order 252PMLF on icwhale.com?

Currently, icwhale.com only provide peer-to-peer order processing. While you submit the RFQ, our professional agent will contact you with the competitive prices in the global market, and our agent will prompt you to finish the order if you accept our offers.

2. How does icwhale.com guarantee that 252PMLF is from the original manufacturer or authorized agents?

We have a professional and experienced quality control team to strictly verify and test the 252PMLF. All suppliers must pass our qualification reviews before they can publish their products including 252PMLF on icwhale.com; we pay more attention to the channels and quality of 252PMLF products than any other customer. We strictly implement supplier audits, so you can purchase with confidence.

3. Are the 252PMLF price and inventory displayed accurate?

The price and inventory of 252PMLF fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

4. What forms of payment are accepted?

Wire Transfer, PayPal, Alipay, Wechat, Credit Card, Western Union, MoneyGram, and Escrow are all acceptable.

Warm Tips: Some orders in certain payment forms may require handling fee.

5. How is the shipping arranged?

Customers can choose industry-leading freight companies, including DHL, UPS, FedEx, TNT, and Registered Mail. Shipping insurance is also available.

Once your order has been processed for shipment, our salesperson will send you an email advising you of the shipping status and tracking number.

Warm Tips: It may take up to 24 hours for the carriers to display tracking information. Usually, express delivery takes 3-5 days, and registered mail takes 25-60 days.

6. What is the process for return or replacement of 252PMLF?

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 252PMLF we delivered, we will accept the replacement or return of the 252PMLF 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 252PMLF.

(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