Exact(3)
In their review, Tsai et al. [61] discuss big data analytics and related open issues, focusing on how to develop a high performance data processing platforms to efficiently analyze big data and to design an appropriate mining algorithm to extract useful knowledge from big data, in addition to presenting some research directions.
MySQL database this tool is used for saving the results obtained from the RVS machine performance data processing.
We present the current state-of-the-art in low-field NMR hardware and experiments, considering general magnet designs, rf performance, data processing and interpretation.
Similar(56)
High-performance data processing systems typically utilize numerous servers with large amounts of memory.
Current and future space missions demand highly reliable on-board computing systems, which are capable of carrying out high-performance data processing.
The emergence of persistent memories has powered the data processing with the in-memory environment and in-memory data analytics have become an advance of high-performance data processing.
Defining the metadata meant finding a balance between detailed data requiring a highly-structured information system source and rough data available in all data repositories but not permitting high-performance data processing.
Finally, it is possible to improve the computational performance by parallel data processing.
The newly developed data processing algorithms induce a performance improvement of approximately 137 for the entire data processing sequence compared to the previous universally applicable single core CPU based data processing tool.
We are what we contribute to data processing.
Standard curves were generated for data processing.
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