If your platform includes FPGA acceleration, for example, you’ll need some FPGA experts in the house if you plan to extract even marginally optimized performance from your FPGA. Today, the development of any application for a modern, parallel, accelerated heterogeneous computing platform requires an intimate knowledge of the underlying hardware architecture and a vast range of developer expertise, depending on the elements that comprise that architecture.
#How to use intel power gadget api software
What if… Intel’s One API actually works? What if the company is able to deliver a set of tools and languages that effectively separate software application development from the underlying compute architecture? After all, wasn’t this the promise of the first high-level language compilers – that we could write code with no consideration whatsoever of the processor instruction set? And, didn’t compilers actually deliver on exactly that promise? When was the last time you were writing C++ or Python and needed to know the opcode for a particular machine instruction?īut the world got a bit more complicated than single-thread von Neuman machines, and the absolute abstraction promised and delivered by conventional software compilers was unceremoniously and permanently taken away. We get that accepting a false postulate can allow one to prove absolutely anything, but sometimes asking yourself, “OK, what if time travel actually IS possible?” allows one to explore useful and interesting narratives.
The idea is just not even in the realm of feasible.īut we engineers are big science fiction fans, aren’t we? We understand the concept of temporarily suspending disbelief for the sake of fleshing out an interesting conceptual scenario. If you’ve studied the challenges of cross-platform optimization for long, your instinctive response to this claim is to put on your anti-gravity boots, fire up your perpetual motion machine, take a big old gulp of your favorite snake-oil elixir, and burp up a resounding “Nope!” It’s hard to think of a more grandiose claim one could even make in the world of application development. The most extreme interpretation would be that, using One API, a developer or team could develop code once and have it execute on anything from a simple MCU to a complex distributed parallel heterogeneous computing system, including CPUs, GPUs, FPGAs, neural network processors, and other specialized accelerators. Intel released more information last week on One API – a “ unified programming model to simplify application development across diverse computing architectures.” This obviously ostentatious claim evokes a firewall between the functionality of a software application and the computing hardware that is executing it.
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