
U.S. Military Looks to NEC to Salvage (Way) Legacy Codes
The era of vector supercomputing might sound like ancient history to some but it’s still deeply rooted in major commercial and government institutions. …
The era of vector supercomputing might sound like ancient history to some but it’s still deeply rooted in major commercial and government institutions. …
At this nascent stage of quantum computing, each of the limited hardware/device makers have their own software stacks. …
Quantum simulators are a strange breed of systems for purposes that might seem a bit nebulous from the outset. …
When it comes to neural network training, Python is the language of choice. …
…After toiling away in relative obscurity for over a decade, open source Julia is right on time for the big enterprise AI/ML code modernization party.
We have a good sense of what projects U.S. companies open source but when it comes to Chinese webscale companies, most notably the big three—Baidu, Alibaba, and Tencent—that ecosystem is less public and not often discussed. …
Seismic processing and analysis at scale take scalable HPC resources but also need an analytics backend that can scale with massive datasets. …
Silent but deadly: there is nothing more destructive than data corruptions that cannot be caught by the various error capture tools in hardware and even in software, can be hard to spot before they have infected an entire application. …
In the accelerated era of exascale supercomputing, MPI is being pushed to its logical limits. …
Jupyter may have had its beginnings in enterprise data problems but some in the high performance computing community has been adopting it as the prime platform for both data science and AI at massive scale. …
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