Engineers are being asked to do more in less time to meet ever-tightening time-to-market schedules. To do so, they need to accelerate design by making use of advanced engineering software. However, such software requires computing processing power not available in a typical engineering workstation. Learn how a cluster can deliver aggregated computing power from its many processors with many cores to meet the processing demands of more complex engineering software, and therefore deliver results faster than individual workstations.
SGI unveiled two new supercomputers and high-performance computing (HPC) management software at SC14.
In an 1883 lecture on “The Practical Applications of Electricity”, Scottish physicist Lord Kelvin stated: “… when you can measure what you are speaking about, and express it in numbers, you know something about it …” High Performance Computing (HPC), therefore, inherited a healthy predisposition towards monitoring. Fast forwarding in time to the present, monitoring HPC clusters remains topical. And while I expect we can all agree upon the ongoing relevance, it is clear that there are very different perspectives as to how monitoring should be modernized. Whereas passive monitoring using meta-toolkits may address needs temporarily, unified solutions that combine monitoring with provisioning and management deliver value on an ongoing, sustainable basis.
“Bright is in markets as competitive as we’ve ever been, especially in the big data Hadoop and OpenStack private cloud spaces. I believe we will thrive in these markets because we are bringing years of relevant experience to bear in new ways that will accelerate the adoption of these new technologies. But most people today are still struggling to build and maintain their clouds and clusters using a collection of mismatched tools. We have a lot of work ahead of us, and we’re ready to roll. Onwards!”