Intel® for its part invests countless hours and billions of transistors to add features in our silicon products which will speed up people's lives. If only they knew how to take advantage of it! Part of our job in dynamic languages is what I call "putting the cookies on the bottom shelf". Make this advanced technology easily consumable, and show you the value of it so you can be sure to use it.
In interpreted languages, it just takes longer to get stuff done - I earlier gave the example where the Python source code a = b + c would result in a BINARY_ADD byte code which takes 78 machine instructions to do the add, but it's a single native ADD instruction if run in compiled language like C or C++. How can we speed this up? Or as the performance expert would say, how do I decrease...
My current gig is mostly about performance. I manage a group of software engineers dedicated to the languages becoming really important to the cloud and the datacenter.
The adoption of OpenStack* marked the first time China Railway has fully embraced open source technology.
At the Autodesk University event in Las Vegas, November 14-16, civil and commercial/industrial designers and manufacturers who use Autodesk software came together to see The Future of Making Things.
Create a safe VR social environment and learn more about object detection specifically for drone videos.