Machine learned model for generating opinionated threat assessments of security vulnerabilities
US-2024411898-A1 · Dec 12, 2024 · US
US8959499B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-8959499-B2 |
| Application number | US-201314033145-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 20, 2013 |
| Priority date | May 4, 2010 |
| Publication date | Feb 17, 2015 |
| Grant date | Feb 17, 2015 |
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A data parallel pipeline may specify multiple parallel data objects that contain multiple elements and multiple parallel operations that operate on the parallel data objects. Based on the data parallel pipeline, a dataflow graph of deferred parallel data objects and deferred parallel operations corresponding to the data parallel pipeline may be generated and one or more graph transformations may be applied to the dataflow graph to generate a revised dataflow graph that includes one or more of the deferred parallel data objects and deferred, combined parallel data operations. The deferred, combined parallel operations may be executed to produce materialized parallel data objects corresponding to the deferred parallel data objects.
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What is claimed is: 1. A computer-implemented method executed by one or more processors, the method comprising: accessing a dataflow graph that includes deferred parallel data objects and deferred, combined parallel data operations; and executing the deferred, combined parallel operations to produce materialized parallel data objects corresponding to the deferred parallel data objects, wherein, for at least one of the deferred, combined parallel operations, executing includes:…
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
Physics · mapped topic
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