At ISC 2016, HPE introduced new high-performance computing solutions that aim to accelerate HPC adoption by enabling faster time-to-value and increased competitive differentiation through better parallel processing performance, reduced complexity, and faster deployment time. “By combining these latest advancements in Intel Scalable System Framework with the scalability, flexibility and manageability of the HPE Apollo portfolio, customers will gain new levels of performance, efficiency and reliability. In addition, customers will be able to run HPC applications in a massively parallel manner with minimal code modification.”
In this Intel Chip Chat podcast with Allyson Klein, Cray CTO Steve Scott describes the collaboration between Cray and Intel on the Intel Xeon Phi Processor for supercomputer integration. Steve highlights that Cray chose to implement the new Intel Xeon Phi Processor for its supercomputers because of the potential to support a diverse array of customer needs and deliver the best performance per application. He emphasizes that Cray software tools are key to optimizing Intel Xeon Phi processor performance at the system level.
Hadoop has a reputation for being extremely difficult to install and configure, but that seems to be changing. In this video, Bright Cluster Manager for Big Data is used to install Cloudera 5.3.1 with YARN failover in just five minutes.
In this video from the Transtec booth at ISC 2016, Piotr Wachowicz from Bright Computing shows how the company’s cluster management software enables customers to configure and monitor OpenStack systems. “Bright Cluster Manager provides a unified enterprise-grade solution for provisioning, scheduling, monitoring and management of HPC and Big Data systems in your data center and in the cloud. Our dynamic cloud provisioning optimizes cloud utilization by automatically creating servers when they’re needed and releasing them when they’re not. Bright OpenStack provides a complete cloud solution that is easy to deploy and manage.”
Registration is now open for a free Workflows Workshop to be held August 9-10 at multiple institutions across the country. Sponsored by the Blue Waters sustained-petascale computing project, this workshop will provide an overview of workflows and how they can enhance research productivity.
Today Bright Computing announced that Linvision has become the latest company to join the Bright Computing partner network, to serve customers across Benelux, France and Germany. “At Linvision, we see a high demand from organizations for state of the art HPC systems that enable projects to be carried out efficiently and cost-effectively,” said Karin Peeters, CEO at Linvision. “I’m excited that Bright and Linvision can enter this market together, to see how we can support our customers with their evolving business challenges.”
In this video from ISC 2016, Bill Nitzberg provides an update on Alair’s release of source code for PBS Professional Workload Manager. “Altair is making a big investment toward uniting the whole HPC community to accelerate the state of the art (and the state of actual production operations) for HPC scheduling. We are dual-licensing PBS Professional, both open source and commercial.”
Properly managed HPC supercomputers can deliver sustained Return on Investment for production supercomputing. To ensure ongoing operations are at peak efficiency, system management capabilities should not only include system monitoring and configuration tools, but also workload management, automated power capping, and error and fault detection capabilities.
In this video from ISC 2016, Bill Bryce from Univa describes the company’s innovative container technology helps customers manage their computing workloads with Univa Grid Engine. “Grid Engine 8.4.0 has many significant updates including Docker support and integration with the new Intel Xeon Phi processor,” said Bill Bryce, Vice President of Products at Univa. “This latest release will allow a user or administrator to schedule jobs so that the right business-critical jobs are prioritized over other workloads-thus maximizing shared resources and allowing Univa customers to gain velocity.”