No matter what, system architects are always going to have to contend with one – and possibly more – bottlenecks when they design the machines that store and crunch the data that makes the world go around. …
In the world of high performance computing (HPC), the most popular buzzwords include speed, performance, durability, and scalability. …
Supercomputing centers around the world are preparing their next generation architectural approaches for the insertion of AI into scientific workflows. …
With the network comprising as much as a quarter of the cost of a high performance computing system and being absolutely central to the performance of applications running on parallel systems, it is fair to say that the choice of network is at least as important as the choice of compute engine and storage hierarchy. …
2011 marked ARM’s first step into the world of HPC with the European Mont-Blanc project. …
Just by being the chief architect of the IBM’s BlueGene massively parallel supercomputer, which was built as part of a protein folding simulation grand challenge effort undertaken by IBM in the late 1990s, Al Gara would be someone whom the HPC community would listen to whenever he spoke. …
All the compute power in the world is useless against code that cannot scale. …
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. …
For years, the pace of change in large-scale supercomputing neatly tracked with the curve of Moore’s Law. …
There are plenty of things that the members of the high performance community do not agree on, there is a growing consensus that machine learning applications will at least in some way be part of the workflow at HPC centers that do traditional simulation and modeling. …
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