Many programs have a tough time spanning across high levels of concurrency, but if they are cleverly coded, databases can make great use of massively parallel compute based in hardware to radically speed up the time it takes to run complex queries against large datasets. …
It is certainly true that no technology company can grow if they are not able to do business in China. …
If it isn’t obvious, we like hardware here at The Next Platform. …
It doesn’t take a machine learning algorithm to predict that server makers are trying to cash in on the machine learning revolution at the major nexus points on the global Internet. …
Moore’s Law is effectively boosting compute capability by a factor of ten over a five year span, as Nvidia co-founder and chief executive officer Jensen Huang reminded Wall Street this week when talking about the graphics chip maker’s second quarter of fiscal 2019 financial results. …
Getting processing closer to data is going to be one of the major themes in compute in the next decade, and we know this because for the past decade this is precisely what the big hyperscalers and cloud builders have been doing. …
This year at the International Supercomputing Conference (ISC) Dr. Keren Bergman from the Lightwave Research Lab at Columbia University detailed the road ahead for optical interconnects in supercomputing and what it means for exascale energy efficiency and beyond. …
The irony, of course, is that there is never a summit when it comes to supercomputing. …
Pathology laboratories are big data environments. However, these big data are often hidden behind expert humans who manually and with great care visually parse large complex and detailed datasets to provide critical diagnoses. …
When it comes to deep learning chip startups, hype moves fast but crossing the finish line to real production silicon takes an incredibly long time. …
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