![]() ![]() Test engineers can use new multicore features to develop applications for testing wireless devices up to four times faster with the latest version of the NI Modulation Toolkit for LabVIEW, and control system engineers can execute simulation models in parallel up to five times faster with the LabVIEW 8.6 Control Design and Simulation Module. Vision applications can also benefit from multicore systems by using innovative image processing functions included in the NI Vision Development Module for LabVIEW 8.6 that automatically distributes data sets across multiple cores. To increase performance, LabVIEW 8.6 includes more than 1200 newly-optimised advanced analysis functions that offer faster, enhanced maths and signal processing on multicore systems for control and test applications. ![]() Expanding on the built-in multithreading technology of the LabVIEW platform, the new version is said to offer supercomputing performance through multicore-optimised features that can help engineers process increasing amounts of measurement data to meet advanced control application challenges and increase test system throughput. The opportunity for breakthrough performance in test and measurement systems increases as standard systems gain more processing cores. LabVIEW offers the shortest path to apply these technologies using parallel programming while providing users the flexibility to define their solutions with application-specific optimisations." However, by using the latest version of LabVIEW, engineers have a single platform to increase test and control system throughput with multicore processors, reduce the development time for high-performance FPGA-based advanced control and embedded prototyping applications, and more easily create distributed measurement systems to acquire data remotely.ĭr James Truchard, President, CEO and Cofounder of National Instruments, states: "To meet the performance and efficiency demands of cutting-edge applications from robotics to designing hybrid vehicles, users must have the ability to quickly incorporate the latest technologies such as multicore processors, FPGAs and wireless communication. ![]() To take advantage of these technologies, engineers are currently forced to work with multiple tools which are not designed for parallel programming. ![]()
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