Semiconductor Industry in the Era of Big Data and Analytics

This article is all about the impact of big data in the semiconductor industry. First let me explain what big data is.

It is the data sets whose size are beyond the ability of typical database software to capture, store, manage and analyze. Big data has the following characteristics:

1. Complex data sets which is normally massive and measured in petabytes

2. Thousands of dimensions for each data element

3. It is a blend of different types of data – semi structured or unstructured data amalgamated across various sources

Its trend in the semiconductor industry can be explained using 3 V's (Variety, Velocity, and Volume)

Variety – technological varieties for future semiconductor chips

Velocity – faster performance with smaller size and lower power consumption.

Volume – IC is present everywhere and the amount of data it carries will reach an uncountable number.

The following methods help in analyzing and handling the big data

1. Collecting data:

The field nodes, which are the sensors embedded around us, collect data and transfer it to the central cluster using the network for analysis. Pattern recognition and decision-making are the techniques on which the central network relies for real-time operations

2. Extracting useful information:

Companies use machine learning techniques to extract meaningful data from the larger data sets. A Support Vector Machine is a powerful machine-learning algorithm often used for classification of large data sets.

3. Real-time analytics:

The data sets keep refreshing due to its large content and effective collection of data. CPU takes information from the Cache, RAM, and hard disk. But most of the technologies prefer in-memory computing. The memory has to be closer to the processor for easy refresh and computing. Therefore, we need a larger Cache for easy refresh of data.

4. Chip for the future:

According to some researchers, next generation devices are 3-D IC's with the array of sensors in one layer and high-density Cache memory in another layer-both together forming a single circuit.

These future generation devices present a range of opportunities for semiconductor companies either in the development of sensors or the field of integration. Even software analytics plays a major role because of complex machine learning algorithm to extract the data.

Value of Big Data:

The percentage use of big data will become a key basis of competition among existing companies. It has become the most important factor of production in all the companies. It has the potential to create value and have implications for the companies like how it is organized and managed. It leads to higher productivity growth. These applications of big data can highly induce the semiconductor industry to design innovative chips to process these big data using modern techniques.

Source by Bavithra Esaiselvan Malathy

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