Here’s a good question to ask: What happens if hyperscale customers who have been pushing their server makers to create density optimized machines move back towards designs that are more monolithic? …
Nearly a year ago at an analyst day event in New York, Qualcomm, the largest maker of ARM chips aimed at smartphones, told the world that it had aspirations for the big machines that feed those smartphones their data and applications and jumped into the 64-bit ARM server fray. …
If one were to look at the approximate results from various deep learning tasks; from image classification to speech recognition and beyond, the stand-by quote from Bayesian statistics that “probability is orderly opinion, and that inference from data is nothing other than the revision of such opinion in the light of relevant new information,” takes on added weight. …
Big and beefy heterogeneous HPC systems Read more
Leaps in Visual ComputingWatch the 2015 GPU Technology Conference Keynote |
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Rajesh Bordawekar (IBM T. …
Explaining the process of how any of us might have arrived to a particular conclusion or decision by verbally detailing the variables, weights, and conditions that our brains navigate through to arrive at an answer can be complex enough. …
A little-known upstart Chinese chip maker called Phytium Technology was set to use the Hot Chips 27 conference in Silicon Valley as a coming out party of sorts for its 64-bit ARM server processors, and the company’s director of research, Charles Zhang, was not permitted to come to the event because of visa issues. …
If you think that Hewlett-Packard is disappointed about the delays in getting the memristor to market, so is a tenacious inventor who has been working at the confluence of electronics and machine learning. …
A lead deep learning expert at Microsoft Research thinks the low-hanging fruit for progress in deep neural networks has been picked and that for the next couple of years, refinement of neural networks and deep learning algorithms will be isolated and incremental. …
It is safe to say that there have never been more ways to store massive amounts of data of varying degrees of structure and to dice, slice, and correlate that data to gain some insight from it. …
Try as it may, Ethernet cannot kill InfiniBand. For the foreseeable future, the very high-end of the server, storage, and database cluster spaces will need a network interconnect that can deliver the same or better bandwidth at lower latency than can Ethernet gear. …
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