Thanks for the comments. It's great to see COTS technologies such as CPUs, GPUs, and FPGAs opening the doors for new levels of accessible heterogeneous computing architectures for engineers and scientists working on automated measurement and control systems. Historically this would have required experts in each processing domain to develop the individual pieces of the solution which is often time and cost prohibitive in automated measurement and control application areas. Having the proper system design software, as mentioned in prior comments, is key to assisting engineers who do not have processor specific development expertise. National Instruments LabVIEW (ni.com/labview) is a graphical system design environment for precisely this type of heterogeneous application development. In fact, thousands of engineers (and kids!) are already using it to develop advanced applications for everything from LEGO Mindstorms NXT robots to the CERN Large Hydron Collider beam control system.
This is an interesting development that will allow automation systems to leverage the availability even greater amounts of processing power. Software as control tasks can be distributed for more efficient use of system resources. Will be interesting to see breadth of applications and how main controllers and intelligent peripherals will be able to work together.I would think that the ability for the programmer to easily select among processing resources might be important, so they can manage the software project within a single tool. Definitely interesting development.
These aren't particularly new in embedded HPC (high-performance computing) and other high-end embedded systems for real-time computing apps like signal processing. It sounds like the practice is migrating downward toward more high-volume applications.
We've been seeing a lot of applications in the CAD and design tool world make use of some type of heterogeneous approach, in particular leveraging GPUs to optimize performance for highly intensive computational work. While the approach seems to be a sound one, I imagine the programming burden for learning new architectures is equally as challenging as for the software development side of the equation as it is for test, measurement, and control.
Engineers at Fuel Cell Energy have found a way to take advantage of a side reaction, unique to their carbonate fuel cell that has nothing to do with energy production, as a potential, cost-effective solution to capturing carbon from fossil fuel power plants.
To get to a trillion sensors in the IoT that we all look forward to, there are many challenges to commercialization that still remain, including interoperability, the lack of standards, and the issue of security, to name a few.
This is part one of an article discussing the University of Washington’s nationally ranked FSAE electric car (eCar) and combustible car (cCar). Stay tuned for part two, tomorrow, which will discuss the four unique PCBs used in both the eCar and cCars.
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