MVAJ21T1GB0771B Bus Interface Module

MVAJ21T1GB0771B For prototyping and deploying deterministic and reliable industrial machines, the MVAJ21T1GB0771B extends the performance of multicore applications to real-time embedded systems with symmetric multiprocessing in LabVIEW Real-Time.Engineers can manually assign code snippets to specific processor cores to fine-tune real-time systems or isolate time-critical code snippets on dedicated cores.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, to address the more demanding debugging and code optimisation requirements of multicore real-time development.LabVIEW parallel features are also available for FPGA-based systems.LabVIEW 8.5 adds multichannel filtering and PID control algorithms that significantly reduce the FPGA resources required for high-performance machine control systems.In addition, the new LabVIEW FPGA Project Wizard automates I/O configuration, IP development, and overall setup for common I/O, counter/timer, and encoder applications. With the FPGA Project Wizard, engineers can automatically generate more complex code for high-speed DMA data transfer.

MVAJ21T1GB0771B As PCs move to multi-core processors, LabVIEW programmers benefit from a simplified graphical multithreading approach that allows them to maximise the performance of multi-core technology with little or no code changes”. Designers of industrial machines, robotic mechatronics systems, and industrial control applications can take advantage of multicore 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 distributes tasks across multiple processors. The latest version of LabVIEW improves performance with deterministic real-time multithreading, improved thread-safe I/O drivers, and automatic scaling based on the total number of processing cores available.