As an open source tool designed to navigate large amounts of data, Hadoop continues to find new uses in HPC. Managing a Hadoop cluster is different than managing an HPC cluster, however. It requires mastering some new concepts, but the hardware is basically the same and many Hadoop clusters now include GPUs to facilitate deep learning.
In this video, Alexandru Iosup from the TU Delft presents: Scalable High Performance Systems. “During this masterclass, Alexandru discussed several steps towards addressing interesting new challenges which emerge in the operation of the datacenters that form the infrastructure of cloud services, and in supporting the dynamic workloads of demanding users. If we succeed, we may not only enable the advent of big science and engineering, and the almost complete automation of many large-scale processes, but also reduce the ecological footprint of datacenters and the entire ICT industry.”
Today Intel Corporation and BlueData announced a broad strategic technology and business collaboration, as well as an additional equity investment in BlueData from Intel Capital. BlueData is a Silicon Valley startup that makes it easier for companies to install Big Data infrastructure, such as Apache Hadoop and Spark, in their own data centers or in the cloud.
With the launch of Univa Small Jobs add-on for Univa Grid Engine, the company, the company offers “the world’s most efficient processing and lowest latency available for important tasks like real-time trading, transactions, and other critical applications.” To learn more, we caught up with Univa President & CEO Gary Tyreman.
“In this talk, Seagate presents details on its efforts and achievements around improving Hadoop performance on Lustre including a summary on why and how HDFS and Lustre are different and how those differences affect Hadoop performance on Lustre compared to HDFS, Hadoop ecosystem benchmarks and best practices on HDFS and Lustre, Seagate’s open-source efforts to enhance performance of Lustre within “diskless” compute nodes involving core Hadoop source code modification (and the unexpected results), and general takeaways ways on running Hadoop on Lustre more rapidly.”
According to IDC, SGI has shipped approximately 8 percent of of all the Hadoop servers in production today. In fact, did you know that SGI introduced the word “Big Data” to supercomputing in 1996? Jorge Titinger, SGI President and CEO, shares SGI’s history in helping to design, develop, and deploy Hadoop clusters. (NOTE: Straw was substituted for actual hay to avoid any potential allergic reactions.)