
Lustre to DAOS: Machine Learning on Intel’s Platform
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
There is no question that the memory hierarchy in systems is being busted wide open and that new persistent memory technology that can be byte addressable like DRAM or block addressable like storage are going to radically change the architecture of machines and the software that runs on them. …
The ubiquity of the Xeon server has been a boon for datacenters and makers of IT products alike, creating an ever more powerful on which to build compute, storage, and now networking or a mix of the three all in the same box. …
Over the last year, we have focused on the role burst buffer technology might play in bolstering the I/O capabilities on some of the world’s largest machines and have focused on use cases ranging from the initial target to more application-centric goals. …
Storage giant EMC, soon to be part of the Dell Technologies conglomerate, declared that this would be the year of all flash for the company when it launched its DSSD D5 arrays back in February. …
For storage at scale, particularly for large scientific computing centers, burst buffers have become a hot topic for both checkpoint and application performance reasons. …
In the previous article, we left off with the basic storage model having its objects first existing as changed in the processor’s cache, then being aged into volatile DRAM memory, often with changes first logged synchronously into I/O-based persistent storage, and later with the object’s changes proper later copied from volatile memory into persistent storage. …
If component suppliers want to win deals at hyperscalers and cloud builders, they have to be proactive. …
With machine learning taking off among hyperscalers and others who have massive amounts of data to chew on to better serve their customers and traditional simulation and modeling applications scaling better across multiple GPUs, all server makers are in an arm’s race to see how many GPUs they can cram into their servers to make bigger chunks of compute available to applications. …
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