Parallel processing in NI LabVIEW is intuitive and simple, in contrast to traditional text-based languages, which require advanced programming knowledge to create a multithreaded application. Data ...

Here, the ability to deploy parallel and multicore processing techniques - as well as the right measurement hardware - removes massive amounts of time from the test process. The use of LabVIEW as a ...

As a parallel programming language and development tool, LabVIEW meets key requirements that embedded developers require to utilize parallel hardware: intuitive representation of parallel code ...

In its latest version, LabVIEW 8.5 Student Edition offers all the features of LabVIEW graphical development platform while adding multicore processing and hybrid programming. The goal is to ...

I keep wondering when National Instruments LabView will reach some sort of tipping point—especially in embedded programming.

They don't need to be experts in the low-level intricacies of parallel hardware such as multicore processors and FPGAs in order to reap the performance benefits. So whether you’re developing ...

LabVIEW already takes advantage of multi-threaded parallel processing on Windows-based hosts. With version 8.5 there is for the first time real-time symmetric multiprocessing for embedded systems. It ...

Unlike sequential, text-based programming tools, the parallel dataflow language of LabView with built-in multi threading naturally divides tasks across multiple processors.

For more on this topic see Using pipelining in multicore LabView and Using data parallelism in multicore LabView. Until recently, advances in computing hardware have provided significant increases in ...

Here, the ability to deploy parallel and multicore processing techniques - as well as the right measurement hardware - removes massive amounts of time from the test process. The use of LabVIEW as a ...

The student edition provides LabView development features such as multicore processing and hybrid programming. Multicore processing, which is the development of parallel apps concurrently running on ...