This article is about the impact of big data in the semiconductor industry. First, let me explain what big data is.
These are the datasets whose size typically exceeds the ability of database software to capture, store, manage and analyze. Big data has the following characteristics:
1. Complex datasets that are usually massive and measured in petabytes
2. Thousands of dimensions for each data element
3. It is a mixture of different types of data – semi-structured or unstructured data that is composed across different sources
Its tendency in the semiconductor industry can be explained by 3 V’s (variation, speed and volume)
Black – technological varieties for future semiconductor chips
Speed - faster performance with smaller size and lower power consumption.
Volume IC is everywhere and the amount of data it carries reaches countless numbers.
The following methods help to analyze and handle big data
1. Collection of data:
The field nodes, which are the sensors integrated around us, collect data and transmit them to the central cluster using the network for analysis. Pattern recognition and decision making are the techniques on which the central network is based in real-time operations.
2. Extracting useful information:
Companies use machine learning techniques to extract meaningful data from the larger datasets. A support vector machine is a powerful machine learning algorithm that is often used to classify large datasets.
3. Real-time analysis:
The data sets remain refreshing due to the large content and efficient data collection. The CPU takes information from the cache, RAM and hard drive. But most of the technologies prefer computer memory in memory. The memory should be closer to the processor for easy updating and computing. Therefore, we need a larger cache for easy data updating.
4. Chip for the future:
According to some researchers, next-generation devices are 3D ICs with a variety of sensors in one layer and high-density cache memory in another layer – both together form a single circuit.
These future generation units present a range of opportunities for semiconductor companies either in sensor development or in the integration field. Even software analysis plays a big role because of a complex machine learning algorithm to extract the data.
Big Data Value:
The percentage use of big data will be a key basis for competition among existing companies. It has become the most important factor of production in all companies. It has the potential to create value and has consequences for companies such as how it is organized and managed. This leads to higher productivity growth. These applications of big data can greatly induce the semiconductor industry to design innovative chips to process this big data using modern techniques.