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For HPC and Deep Learning, GPUs are here to stay

In this special guest feature from Scientific Computing World, David Yip, HPC and Storage Business Development at OCF, provides his take on the place of GPU technology in HPC. “Using GPUs in the HPC datacenter in place of CPUs can dramatically increase the power requirements needed, but if your computational performance goes through the roof, then I’d argue it’s a trade-off worth making.”

Survey: Training and Support #1 Concern for the HPC Community

Initial results of the Scientific Computing World (SCW) HPC readership survey have shown training and support for HPC resources are the number one concern for both those that operate and manage HPC facilities and researchers using HPC resources. “Several themes have emerged as a priority to both HPC managers and users/researchers. Respondents cite that training and support are essential parameters compared to performance, hardware or the availability of HPC resources.”

Reducing the Time to Science with Efficient Clouds

In this special guest feature from Scientific Computing World, Dr Bruno Silva from The Francis Crick Institute in London writes that new cloud technologies will make the cloud even more important to scientific computing. “The emergence of public cloud and the ability to cloud-burst is actually the real game-changer. Because of its ‘infinite’ amount of resources (effectively always under-utilized), it allows for a clear decoupling of time-to-science from efficiency. One can be somewhat less efficient in a controlled fashion (higher cost, slightly more waste) to minimize time-to-science when required (in burst, so to speak) by effectively growing the computing estate available beyond the fixed footprint of local infrastructure – this is often referred to as the hybrid cloud model. You get both the benefit of efficient infrastructure use, and the ability to go beyond that when strictly required.”

Tsinghua in China Makes $23 billion Bid for Micron

In what could be one of the biggest acquisitions of a US company by a Chinese firm, China’s state owned Tsinghua Unigroup has made an bid to acquire US semiconductor manufacturer Micron Technology for $23 billion.