Data analytics deals with making observations with various data sets, and trying to make sense of the data. When dealing with very large data sets, automated tools must be used to find patterns and relationships. One of the most important tasks from large data sets is to find an outlier, which is defined as a sample or event that is very inconsistent with the rest of the data set.
[SPONSORED GUEST ARTICLE] …. developments in photonics-based interconnects are so intriguing, offering the promise of increasing bandwidth by up to 1000x at 10%….
The high-performance computing (HPC) market is witnessing a notable shift towards the cloud, partially driven by the benefits of enhanced energy efficiency. According to Hyperion Research nearly every organization running HPC workloads is either already using or investigating the cloud to accelerate application performance, with the cloud market for HPC workloads forecast to reach $11.5 […]
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