Offloading work on the graphics card is becoming more trendy. Take Nvidia's CUDA core tech. IT is a "parallel computing platform and programming model" that harnesses the full power of the GPU. GPU-acceleration of this type helps handle heavy math and processes that the CPU struggles to keep up with. (That was the original idea of the GPU right? To handle that difficult floating math in 3D games and software.) With the "CUDA" tech, the GPU looks like hundreds of individual core able to handle that work like Atlas!
Again, it is elegance over brute force. Use ever resource at your disposal, don't let it sit idle. It is great that LabView to getting up to speed, pioneering even.
A new service lets engineers and orthopedic surgeons design and 3D print highly accurate, patient-specific, orthopedic medical implants made of metal -- without owning a 3D printer. Using free, downloadable software, users can import ASCII and binary .STL files, design the implant, and send an encrypted design file to a third-party manufacturer.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.