Big data analytics and automation in post-silicon
This paper presents the authors’ knowledge of silicon post-processing during their internship at MediaTek and the verification of how to solve the problems of high manual mechanical workload, low efficiency, and high error rate in this field. The authors developed a series of automation software...
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| Other Authors: | |
| Format: | Thesis-Master by Coursework |
| Language: | English |
| Published: |
Nanyang Technological University
2023
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/166479 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This paper presents the authors’ knowledge of silicon post-processing during
their internship at MediaTek and the verification of how to solve the problems
of high manual mechanical workload, low efficiency, and high error rate in this
field. The authors developed a series of automation software and integrated it
into an information system through big data technology, which will effectively
improve the speed and accuracy of the company’s future silicon post-processing.
At the time of the first draft of this paper, the information system was still under
development while one of the automation scripts in the system was being
used company-wide. |
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