Sentence examples for kinds of computing from inspiring English sources

The company is clearly building for a faster-moving world of all kinds of computing outlets, attached to big clouds of various designs.

Today, Fortran is often mentioned wistfully by computer scientists and veteran programmers as the first programming language they learned but then abandoned as newer languages were developed for new kinds of computing.

A final feature of the mechanistic account is that it distinguishes and characterizes precisely many different kinds of computing systems based on the specific vehicles they manipulate and their specific mechanistic properties.

While comparing the clock speeds of both chips is an apples and oranges problem powerPC chips are faster and better at certain kinds of computing tasks potential buyers are often turned off by the lower speed rating.

Today, Internet-based appliances can allow a user to interact with the server-side services and information using different kinds of computing platforms including traditional office desktops, palmtops, as well as a large variety of wireless devices including mobile telephones, Personal Digital Assistants, and Pocket Computers.

I also think von Neumann would probably be doing very different kinds of computing from what he did at the institute.

It will take that kind of computing speed, for example, to simulate all the effects on an airplane wing as it moves through the atmosphere: the flapping of the wing, turbulence and the changing temperature of the wing.

At stake, say proponents, is the complete rewiring of the Internet an undertaking that promises to unleash a whole new wave of software innovation that Sun hopes to ride successfully.Bill Joy's impact on computing began back in the mid-1970s athehe University of California, Berkeley, where researchers were pioneering a new kind of computing architecture.

At some point, the kind of computing power confined to mainframes a decade ago will be available in cheap telephone handsets sold in China.

Nvidia has found itself in a good position as a lot of AI processing demands the kinds of compute capabilities that GPUs have rather than normal processors.

With a huge increase in demand for various kinds of compute-intensive applications in electronic systems, researchers have focused on coarse-grained reconfigurable architectures because of their advantages: high performance and flexibility.