AI
Lustre to DAOS: Machine Learning on Intel’s Platform
Training a machine learning algorithm to accurately solve complex problems requires large amounts of data. …
AI
AI
Climate Research Pulls Deep Learning Onto Traditional Supercomputers
Over the last year, stories pointing to a bright future for deep neural networks and deep learning in general have proliferated. …
AI
First Burst Buffer Use at Scale Bolsters Application Performance
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. …
AI
IBM Research Lead Charts Scope of Watson AI Effort
Over the past few years, IBM has been devoting a great deal of corporate energy into developing Watson, the company’s Jeopardy-beating supercomputing platform. …
AI
Facebook Flow Is An AI Factory Of The Future
We have been convinced for many years that machine learning, the kind of artificial intelligence that actually works in practice, not in theory, would be a key element of the next platform. …
AI
Next Generation Supercomputing Strikes Data, Compute Balance
Although the future of exascale computing might be garnering the most deadlines in high performance computing, one of the most important stories unfolding in the supercomputing space, at least from a system design angle, is the merging of compute and data-intensive machines. …
AI
Google Pits Dataflow Against Spark
It is almost without question that search engine giant Google has the most sophisticated and scalable data analytics platform on the planet. …
AI
Emphasis on Data Wrangling Brings Materials Science Up to Speed
In 2011, the United States launched a multi-agency effort to discover, develop, and produce advanced materials under the Materials Genome Initiative as part of an overall push to get out from under the 20-year process typically involved with researching a new material and bringing it to market. …
AI
Future Cray Clusters to Storm Deep Learning
Supercomputer maker Cray might not roll out machines for deep learning anytime in 2016, but like other system vendors with deep roots in high performance computing, which leverages many of the same hardware elements (strong interconnect and GPU acceleration, among others), they are seeing how to loop their expertise into a future where machine learning rules. …
AI
Boosting Deep Learning with the Intel Scalable System Framework
Training ‘complex multi-layer’ neural networks is referred to as deep-learning as these multi-layer neural architectures interpose many neural processing layers between the input data and the predicted output results – hence the use of the word deep in the deep-learning catchphrase. …