While exascale systems, even at the single precision computational capability commonly used in the oil and gas industry, will cost on the order of $250 million, that cost pales in comparison to the capital outlay of drilling exploratory deep water wells, which can cost $100 million a pop. …
It is a time of interesting architectural shifts in the world of supercomputing but one would be hard-pressed to prove that using the mid-year list of the top 500 HPC systems in the world. …
We are heading into International Supercomputing Conference week (ISC) and as such, there are several new items of interest from the HPC side of the house. …
The Smith-Waterman algorithm has become a linchpin in the rapidly expanding world of bioinformatics, the go-to computational model for DNA sequencing and local sequence alignments. …
Intel’s many-core “Knights Landing” Xeon Phi processor is just a glimpse of what can be expected of supercomputers in the not-so-distant future of high performance computing. …
If there is anything that chip giant Intel has learned over the past two decades as it has gradually climbed to dominance in processing in the datacenter, it is ironically that one size most definitely does not fit all. …
A first wave of benchmarks and real-world application runs on Intel’s Knights Landing has hit the shores and while not all the codes will be familiar or widely used, the takeaway of significant performance gains between the new generation and its Xeon Phi predecessor are clear. …
With the general availability of the “Knights Landing” Xeon Phi many core processors from Intel last month, some of the largest supercomputing labs on the planet are getting their first taste of what the future style of high performance computing could look like for the rest of us. …
Close to a year ago when more information was becoming available about the Knights Landing processor, Intel released projections for its relative performance against two-socket Haswell machines. …
Intel has finally opened the first public discussions of its investment in the future of machine learning and deep learning and while some might argue it is a bit late in the game with its rivals dominating the training market for such workloads, the company had to wait for the official rollout of Knights Landing and extensions to the scalable system framework to make it official—and meaty enough to capture real share from the few players doing deep learning at scale. …
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