It is not news that offloading work from CPUs to GPUs can grant radical speedups, but what can come as a surprise is that scaling of these workloads doesn’t change just because they run faster. Moving beyond a single node means encountering a performance wall, that is, unless something can glue everything together so it can scale at will.
There are already technologies that can take multiple units of compute and have them share work from supercomputing and other areas (consider ScaleMP, for instance) but there are limitations to these approaches and thus far, they haven’t extended to meet the …
Ganging up Accelerators to Beat Scale Limits was written by Nicole Hemsoth at The Next Platform.
Both projects will now be sponsored by the Linux Foundation.
Digitalk helps mobile operators extend their networks to the cloud.
The only companies that want – and expect – all compute and storage to move to the public cloud are those public clouds that do not have a compelling private cloud story to tell. But the fact remains that for many enterprises, their most sensitive data and workloads cannot – and will not – move to the public cloud.
This almost demands, as we have discussed before, the creation of private versions of public cloud infrastructure, which interestingly enough, is not as easy as it might seem. Scaling infrastructure down so it is still cost effective and usable by …
Igneous Melds ARM Chips And Disks For Private S3 Storage was written by Timothy Prickett Morgan at The Next Platform.
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