As we step into the era of intelligent machines and deep learning, the future of personal computers (PCs) lies in the hands of ever-evolving technology. From the early days of Microsoft Bob to the contemporary
An array of technologies now target parallel programming — SEJITS, OpenCL, Cilk Plus and ParaSail, among others. What roles will these languages play?
Author and programmer Clay Breshears explores parallel programming patterns, how they are evolving and how they’ll impact future parallel coders.
Mobile software development varies from platform to platform, but there are key considerations that apply to all of them.
Should you be keeping an eye out for new programming languages, such as Fantom, F# and Dart?
Writing parallel programs — or parallelizing existing serial code — requires programmers to overcome several stumbling blocks. Here’s how.
If you’re a developer looking for alternatives, find out whether Scala, F# and Clojure are viable options.
NoSQL databases are getting loads of attention, but does this technology really meet IT needs?
With new tablets and other mobile devices, developers need to port existing apps to take best advantage of the new platforms.
Is parallel programming as hard as it sounds, or does it just require a fresh mindset and access to the right tools?
The rise of multiple NoSQL database technologies has database gurus scratching their heads about the suitability of NoSQL solutions for enterprise.
Most Web-era programmers work with PERL, Python and Java languages, but Intel’s Steve Lionel says Fortran’s pure number-crunching strength keeps it front-and-center for some apps.