Systems built from commodity hardware such as servers, desktops and laptops often contain so-called general-purpose processors (CPUs)—processors that specialize in doing many different things reasonably well. …
When IBM started to use the word “open” in conjunction with its Power architecture more than three years with the formation of the OpenPower Foundation three years ago, Big Blue was not confused about what that term meant. …
The computing industry is facing a number of challenges as Moore’s Law improvements in circuitry slow down, and they don’t all have to do with transistor counts and memory bandwidth and such. …
Although the timeline for reaching exascale class computing continues to stretch farther into the future, research teams are keeping an eye on what technologies will shape the machines of the post-exascale timeframe, which is in the 2022-2030 timeframe. …
One of the frustrating facts about peddling any new technology is that the early adopters that discover a strategic advantage in that technology want to keep that secret all to themselves. …
Among the many challenges ahead for programming in the exascale era is the portability and performance of codes on heterogeneous machines. …
In the public cloud business, scale is everything – hyper, in fact – and having too many different kinds of compute, storage, or networking makes support more complex and investment in infrastructure more costly. …
Oil and natural resource discovery and production is an incredibly risky endeavor, with the cost of simply finding a new barrel of oil tripling over the last ten years. …
It’s elastic! It’s on-demand! It scales dynamically to meet your needs! …
While containers are old news in enterprise circles, by and large, high performance computing centers have just recently begun to consider packaging up their complex applications. …
All Content Copyright The Next Platform