SPONSORED WEBCAST
In this webcast, we learn from Nick Curcuru, vice president of the big data practice at MasterCard, about what needs to be in place both technically and in terms of management models and processes so that the benefits can be fully achieved. …
Based on datacenter practices of the past two decades, it is a matter of faith that it is always better to run a large number of applications on a given set of generic infrastructure than it is to have highly tuned machines running specific workloads. …
Markets are always changing. Sometimes information technology is replaced by a new thing, and sometimes it morphs from one thing to another so gradually that is just becomes computing or networking or storage as we know it. …
What goes around comes around. After fighting so hard to drive volume economics in the HPC arena with relatively inexpensive X86 clusters in the past twenty years, those economies of scale are running out of gas. …
There is a lot of change coming down the pike in the high performance computing arena, but it has not happened as yet and that is reflected in the current Top 500 rankings of supercomputers in the world. …
The science fiction of a generation ago predicted a future in which humans were replaced by the reasoning might of a supercomputer. …
GPU computing has deep roots in supercomputing, but Nvidia is using that springboard to dive head first into the future of deep learning. …
Conventional wisdom says that choosing between a GPU versus CPU architecture for running scientific visualization workloads or irregular code is easy. …
One way to characterize the challenges of achieving exascale, is to look at how advancing compute, memory/storage, software, and fabric will lead to a future-generation balanced system. …
The high end of the computing industry has always captivated us, and we still find the forces at work in the upper echelons of the datacenters of the world, and the hardware and software that is created to run the largest and most complex workloads found there, fascinating. …
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