Today Penguin Computing announced Scyld ClusterWare for Hadoop, adding greater capability to the company’s existing Scyld ClusterWare high performance computing cluster management solution.
There is always different levels of importance assigned to various data files in a computer system, specifically a very large system that is storing petabytes of data. In order to maximize the use of the highest speed storage, Hierarchical Storage Management (HSM) was developed to move and store data within easy use of users, yet at the appropriate speed and price.
“Following up on the “Streamlining Research Computing Infrastructure: A Small School’s Perspective”, this talk will discuss how a researcher’s priority in a shared HPC cluster is computed based on her/his usage pattern as well as productivity. Coupled with transparent functionality and reporting scheme at nearly every level, this merit based priority scheme has enabled consistently high usage (85+%) throughout 20 months of operation and has helped researchers at Michigan Technological University to produce 30+ publications from approximately 30 different projects.”
“We received an overwhelmingly positive response to the new Moab features during SC14, so we¹re very excited to make the new features generally available. In a competitive computing landscape where enterprises need to accelerate insights, Moab matters,” said Rob Clyde, CEO of Adaptive Computing. “Automating workload workflows is imperative to shorten the timeline to discovery, and this latest version of Moab represents a huge step forward in helping enterprises achieve that. We are excited to reveal our latest innovations and continue driving competitive advantage for our customers.”
Moab 8.1 systems management software includes a revamped Web-based user interface with bolstered reporting and tracking capabilities that give greater insight into the job states, workloads and nodes of a HPC system; massive performance gains and improvements in scale; and system improvements to achieve elastic computing to expand to other resources as workloads demand.