Having the best compute engine – meaning the highest performance at a sustainable price/performance – is not enough to guarantee that it will be adopted in HPC, hyperscale, or enterprise settings. …
It is hard to say exactly how much infrastructure revenue went up for grabs when IBM sold off its System x division to Lenovo last year, but in the HPC market, if you look at the data from IDC and Intersect360, which do detailed tracking of HPC organizations in terms of revenues and installed base, the numbers are not small. …
For ARM processors to take off in the HPC arena, a whole bunch of pieces have to come together to create a platform that can compete against more established architectures. …
While Python has steadily been winding its way into an increasing number of enterprise settings over the last several years, in high performance computing, which tends to be dominated by lower-level programming approaches, it was overlooked in favor of a never-ending string of MPI and Fortran tweaks for performance reasons. …
The old adage in the modern datacenter is that compute is free, but data movement is very, very expensive. …
Proprietary and quasi-proprietary interconnects are nothing new to the supercomputing space, and in fact, this is where they still live and thrive and evolve. …
When it comes to traditional supercomputing, the tools, frameworks, and software stacks tend to be codified, especially within the various domains that use high performance computing. …
Hearts really do take a beating. A human heart beats about 3 billion times in a person’s life. …
If ARM processors are going to get traction in the datacenter, they will have to do so outside of the conservative glass houses of large enterprises. …
At the last five annual Supercomputing Conferences, an underlying theme has been the potential of accelerators. …
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