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DS200TCEAG1ACB Integrated Multi-Threading Function Module

📣Model Number:DS200TCEAG1ACB

🌍Country of origin: USA France Germany Estonia Norway UK

⌚Delivery date: in stock

🛠After-sales service: brand new with one year warranty

⚙️ Product Category: Module/Controller/Server/Motor/Touch Screen

🕰Warranty: 12 months/365 days

☎️ Please contact me: 15359029662 Ms. Amy Sun

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Detailed content

DS200TCEAG1ACB

The DS200TCEAG1ACB benefits from a simplified graphical multi-threading approach that allows them to maximise the performance of multi-core technology with little or no code changes. Designers of industrial machines, robots mechatronics systems and industrial control applications can gain performance gains from multi-core technology by balancing parallel tasks such as control loops, measurements and industrial communications across multiple processing cores. Unlike text-based sequential programming tools, the LabVIEW parallel dataflow language with built-in multithreading capabilities naturally divides tasks across multiple processors. The latest version of LabVIEW improves performance through deterministic real-time multithreading, improved thread-safe I/O drivers, and automatic scaling based on the total number of available processing cores.

The DS200TCEAG1ACB extends the performance of multicore applications to real-time embedded systems with symmetric multiprocessing in LabVIEW Real-Time. Engineers can manually assign code sections to specific processor cores to fine-tune real-time systems or isolate time-critical portions of code on dedicated cores. To meet the more challenging debugging and code optimisation requirements of real-time multicore development, the new NI Real-Time Execution Trace Toolkit 2.0 visualises the timing relationships between code segments and individual threads, as well as the processing cores that are executing the code.LabVIEW’s parallel features are also available for FPGA-based systems.LabVIEW 8. 5 adds multi-channel filtering and PID control algorithms that LabVIEW 8. 5 adds multi-channel filtering and PID control algorithms to significantly reduce the FPGA resources required for high-performance machine control systems.