Xilinx says computing after Moore’s Law is called ACAP
 

Adaptive compute acceleration platform

Intel's Gordon Moore came with one of the most prominent rules/"laws" of the semiconductor industry, that the number of transistors on chip would double every 18th month.

I had the privilege to meet Mr. Moore a few years back at one of the IDF shows and his hypothesis has either come to an end or ended in 2018, depending on who you talk to.

Now a new product called the Adaptive Compute Acceleration Platform (ACAP) from Xilinx is here to replace it, it thinks. The key is to make a platform ready for next generation workloads as people today are generating more and more data and the big names like Google, Facebook, Amazon, IBM, Baidu and Alibaba are paying a fortune to make sense of all the data. Intel still claims that Moore’s Law is still alive, but this is hard to justify as Intel itself has been stuck on 14nm for the last four generations, unable to move to a lower node.

I will have to take a step back to 2015 when Nvidia announced yet another 28nm GPU codenamed Maxwell. The Nvidia Geforce leadership with Jeff Fisher and a team of very talented engineers made a crucial decision - to optimize the chip and focus on the gains possible with texture compression. They realized that going to 20nm or 14nm won’t happen anytime soon. The GPU industry was stuck on 28nm for more than four years and the companies had to optimize within 28nm and change the way they dealt with the problems and workloads. Nvidia, back then, was all about pixels and today is targeting workloads and AI systems, as this is the next big thing that is happening as we speak. This has allowed Nvidia to grow to more than $144 billion market cap.

https://fudzilla.com/news/processors...is-called-acap