“Benchmarks, customer experiences, and the technical literature have shown that code modernization can greatly increase application performance on both Intel Xeon and Intel Xeon Phi processors. Colfax Research recently published a study showing that image tagging performance using the open source NeuralTalk2 software can be improved 28x on Intel Xeon processors and by over 55x on the latest Intel Xeon Phi processors.”
In this special guest feature, Rob Farber from TechEnablement writes that the Intel Scalable Systems Framework is pushing the boundaries of Machine Learning performance. “machine learning and other data-intensive HPC workloads cannot scale unless the storage filesystem can scale to meet the increased demands for data.”
Intel Enterprise Edition for Lustre* Software has taken a leap toward greater enterprise capabilities and improved features for HPC with release of version 3.0. This latest version includes new security enhancements, dynamic LNET configuration support, ZFS snapshots, and other features asked for by the HPC community inside and outside the enterprise. Additionally, it adds the Intel Omni-Path Architecture drivers.
Datawatch Brings Powerful Self-Service Data Preparation Capabilities to IBM Watson Analytics and IBM Cognos Analytics Users
Datawatch Corporation announced it has teamed with IBM to deliver better and faster data access and self-service data preparation to IBM Watson Analytics and IBM Cognos Analytics users.
In this special technology white paper, Leveraging Big Data to Gain a Competitive Advantage Across a Range of Industries, you’ll see how organizations around the world are turning to the Hadoop data collection, management and analysis platform to optimize their efforts to extract value from big data.
In this special technology assessment report, Dell Hadoop Solutions for Big Data, the premise is to unlock business critical insights from data of any type and size. Data growth is exploding, and analyzing large datasets—Big Data —has become the next frontier for innovation, competition, and productivity. IDC estimates that in 2012 alone, the amount of data created and replicated surpassed 2.8 zettabytes. One forecast from IDC estimates that data will grow to an overwhelming 44 zettabytes by 2020.
In this special industry report, insideBIGDATA Guide to Retail, the goal is directed toward line of business leaders in conjunction with enterprise technologists with a focus on the above opportunities for retailers and how Dell can help them get started. The guide also will serve as a resource for retailers that are farther along the big data path and have more advanced technology requirements.
The Trusted Analytics Platform (TAP) is an open source project that Intel developed to make it easier for developers and data scientists to deploy custom big data analytics solutions in the cloud as well as reduce development costs and time to market.
In this new insideBIGDATA Guide to Scientific Research, the goal is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.
Data is money for businesses—now more than ever. With Big Data analytics that means big money, and companies don’t want to risk losing their data and the value it represents. Lustre has proven its performance over the years. And, lately, companies are engaging Lustre on their HPC clusters for Big Data analytics. But, can Lustre maintain and keep a company’s data available? Does Lustre’s latest release have what it takes to take care of enterprise Big Data?