Ron Kasabian, general manager of Intel Big Data Solutions, said that software has become an important part of chip design, and customization will help applications collect, manage, and analyze data faster.
Through improvements in hardware and software, the company is trying to increase its chip capabilities in predictive analytics, cloud computing data phones, and specific task processing. The company has launched its own Hadoop distribution, Hadoop is a scalable computing environment that handles large data sets.
The company is drawing lessons from software deployment and trying to improve chip capabilities to fill the software gap. Kasabian said that the chip design process will take about two years.
Server manufacturers have been customizing servers specifically to handle big data workloads, and improvements in chips and instruction sets will accelerate this task.
This plan includes the development of accelerators or cores for big data type workloads. For example, Intel is working with the Chinese company Bocom to develop a smart city city project, which attempts to solve the problem of counterfeit license plates in China by identifying license plates, car brands and models. The project involves the process of sending images through a server gateway, and Intel is filling the software gap by improving chips. One of the improvements will be the deployment of accelerators to decode video.
Intel does not seem to be a packaged software sharing Su, but wants the software to run better on Intel architecture hardware. For a long time, Intel has been supporting open source software, and hundreds of programmers are committed to Linux development.
In addition to chips, Intel is also committed to providing the right software tools for the data center. Hadoop is a starting point, and now Intel is paying close attention to analysis technology.
While designing the chip and improving the software, Intel's laboratory is also studying traffic processing and graph analysis.
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