Free, hands-on multicore programming workshops
National Instruments is announcing an initiative sponsored by Intel Corporation to deliver free, hands-on multicore programming workshops based on the NI LabVIEW graphical programming language to engineers and scientists around the globe. The Multicore Programming with NI LabVIEW Hands-On Workshop is presented in 18 American and Canadian cities from May 2008 and 15 international cities this autumn. The half-day workshop features perspectives from Intel on the industry transition from single-core to multicore systems, examines the current capabilities of multicore architectures including the latest Intel Core microarchitecture and provides insight into the multicore technology roadmap from Intel. The workshop also demonstrates how engineers and scientists can achieve real performance improvements by using LabVIEW graphical programming for multicore system development.
Dr James Truchard, National Instruments President, CEO and Co-founder, says: "LabVIEW simplifies multicore programming by helping users automatically map their graphical programs onto different threads to be executed on multiple cores. The LabVIEW execution system now dynamically scales the number of threads used, based on the number of processing cores available on the system and, for advanced requirements, users can directly assign sections of code to specific cores in desktop, Windows-based systems and embedded real-time systems. Attendees of our new workshop will get hands-on experience using these and other tools and techniques to discover just how easy programming multicore systems with LabVIEW can be."
Building on more than 10 years of investment in multithreading technology, LabVIEW simplifies multicore-based application development. The intuitive dataflow language of LabVIEW makes it easy for users to design parallel products and map their applications to multicore architectures for increased performance. LabVIEW also delivers symmetric multiprocessing (SMP) with the LabVIEW Real-Time environment to help realise performance gains from multicore processors without sacrificing determinism. Customers using LabVIEW to scale performance from multicore architectures successfully include the NASA Ames Research Center for wind tunnel control, Max Planck Institute for nuclear fusion research and Virginia Tech and TORC Technologies for developing autonomous vehicle vision intelligence.
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