The Top 500 Supercomputer List is In: China’s Reign Continues
This morning the list of the Top 500 fastest, most powerful global supercomputers was released. …
This morning the list of the Top 500 fastest, most powerful global supercomputers was released. …
The public cloud is precisely as conservative and innovative as the enterprise customers that make use of it. …
Before leaving Google in 2013, Felix Hupfeld and Bjorn Kolbeck took careful note of the seamless way the search giant’s storage systems operated almost automatically, with tiny teams operating the storage backbone that powered hundreds of thousands of servers in the United States and Europe. …
If one had to make a guess about which of the big cloud infrastructure providers is sitting on eight million servers globally with a potential 1,400 petaflops of compute capacity, the list of companies is relatively short. …
In Fukuoka, Japan, a specialized operating system, using graph-theoretic methods and primed for the next generation of exascale systems, is being developed to study extremely complex interdependencies in urban settings. …
It has been a year and a half since IT supplier Dell went private, and the company is reveling in the fact that competitors can no longer peer into its financials to look for weaknesses and that it can make decisions privately and for the long-term rather than make them publicly and largely on the much shorter-term that all public companies have to align to. …
While there are plenty of companies that have built a core competency in IT infrastructure acquisition and management, and think they can provide themselves a competitive edge based on those skills, it looks like there is a growing and potentially much larger cadre of companies who simply do not want to be messing around with basic infrastructure anymore. …
The first Xeon processor aimed at datacenter workloads that is based on Intel’s “Broadwell” core has been launched. …
As one of the fastest growing markets in HPC, the manufacturing sector is looking to supercomputing to drive its next generation of product modeling and simulation. …
From processors, memory, network, and beyond, making architectural choices to support large-scale genomics research is often fed as much by trial and error as it is empirical knowledge about what will work for a demanding application set. …
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