NGDATA™, the customer experience management solutions company, today announced the launch of Lily Enterprise 3.0. The latest version of the software enables companies to deliver more personalized customer experiences by analyzing big data and building individual Lily Customer DNA in real time.
Archives for May 2014
Demo: Allinea Performance Reports Finds Bottlenecks Fast
“In this video, Mark O’Connor from Allinea demonstrates how the company’s Performance Reports software generates easy-to-understand pages that characterize the performance of HPC application runs.”
DataSong Relies on MapR Technologies
MapR Technologies, Inc., provider of top-ranked distribution for Apache Hadoop, today announced that DataSong, a company specializing in customer insights for modern marketers, has selected the MapR Distribution for Hadoop for its central data hub which provides marketing effectiveness solutions to leading omni-channel retailers, including Williams-Sonoma and Neiman Marcus.
Bright Computing Simplifies OpenStack Deployment
Today Bright Computing announced the release of Bright Cluster Manager for OpenStack, new software that enables customers to deploy OpenStack private clouds on bare metal servers.
Defining HPC Cluster Success Factors
The true cost of operating a successful HPC cluster extends beyond the initial hardware purchase or power budget. A truly well run and efficient cluster also minimizes the amount of time, resources, and level of expertise administrators need to detect and mitigate issues within the cluster.
New A3CUBE Card Delivers PCIe over Standard Optical Cables
Today A3CUBE introduced the RONNIEE 2S Network Interface Card. Capable of transmitting four PCIe signals at 20Gb/s on standard Active Optical Cables, the device offers improved scalability and power efficiency over conventional solutions.
Allinea DDT Debugger Adds Support for NVIDIA CUDA 6
Today Allinea Software today announced that the company’s Allinea DDT 4.2.1 debugging software has been tailored to offer full support for NVIDIA CUDA 6
Video: Rob Farber Teaches Killer App Fundamentals at GTC 2014
“Discover killer-app fundamentals including how to tame dynamic parallelism with a robust-performance parallel stack that allows both host and device side fast memory allocation and transparent data transfer of arbitrarily complex data structures and general C++ classes. A low-wait approach (related to wait-free methods)is used to create a performance robust parallel counter. You definitely want to use this counter for histograms! New results extending machine learning and big data analysis to 13 PF/s average sustained performance using 16,384 GPUs in the ORNL Titan supercomputer will be presented.”
insideAI News Guide to Machine Learning
As the primary facilitator of data science and big data, machine learning has garnered much interest by a broad range of industries as a way to increase value of enterprise data assets. In this article series we’ll examine the principles underlying machine learning based on the R statistical environment.
Beware “Big Schema”
Most everyone has heard of “big data” – the popular term for data so massive it’s difficult to manage. Today, the volume of search engine queries, online retail sales and Twitter messages regularly exceeds the capabilities of traditional databases. There’s a complement to big data that we call “big schema”. Modern data can not only have vast quantities and fast rates, but can also have diverse structure. Big schema can arise with enterprise data models, large data warehouses and scientific data.











