Whether modifying an existing application or writing entirely new code, parallel applications can be much more challenging to work with than their sequential counterparts. Without a doubt, the ...

In Part 2 of this three-part series on dataflow programming with the Task Parallel Library, Eric Vogel shows you how to create a Windows 8 application that uses a composite parallel data flow. In Part ...

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Abstract: As distributed applications became more commonplace and more sophisticated, new programming languages and models for distributed programming were created. In the context of continuously ...

2016 Data Analytics Forecast: Top 5 Trends to Watch Google, in conjunction with Cloudera, Data Artisan, Cask and Talend, announced this week that the Dataflow programming model that Google created to ...

Hadoop software company Cloudera has worked with Google to make Google’s Dataflow programming model run on Apache Spark. Dataflow, which Google announced as a cloud service in June, lets programmers ...

Abstract: Current works on parallel programming models are trending towards the dataflow paradigm, which naturally exploits parallelism in programs. The Sucuri Python Library provides basic features ...

The parallel programming challenge will continue to grow as multicore platforms become more common and their complexity and number of cores continue to increase. The domination of sequential ...

A programming model that uses a graph showing the flow of data from one operation to another. Also known as "model-based programming." See dataflow diagram. THIS DEFINITION IS FOR PERSONAL USE ONLY.