In the past, parallel processing was a specialized approach to high-performance computing. Today, we have to rethink the computational cores of algorithmic and data structures applications. In this article we discuss how this process of rethinking can be understood using algorithm engineering.

This article will briefly describe some of the cost issues associated with MOOCs and suggest a perspective through which drastic tuition savings might someday be achieved, possibly through the assistance of MOOCs.

This article looks at the constantly evolving landscape of digital devices, and analyzes the growing inefficiency of hardware specifications to properly represent the overall value perceived by the user. Increasingly disruptions in the technology space are carried not so much by hardware aspects, but by intangible value propositions that combine a wide variety of hardware and software specifications.

Computing education has some significant education challenges today. We aren't diverse enough, and we need to be able to develop more teachers. Despite popular opinion, the current generations of MOOCs don't meet those needs.