Today Adaptive Computing announces the latest release of Moab HPC Suite and related add-ons. The new release extends ease-of-use submission and workload management to new platforms by delivering a release of Viewpoint that can now work directly with either Torque or Slurm. Because of this “Open Platform” extension, other related products now automatically work with either resource manager, including remote visualization, submissions of high throughput workloads (Nitro enables tens of thousands to millions of tasks), and use of Adaptive Computing’s new Reporting & Analytics solution.
Today Adaptive Computing announced it has integrated Remote Visualization with Moab’s workload submission portal, Viewpoint, in order to improve ease-of-use and increase user productivity. “Adaptive Computing is transforming our customers’ experience so that technology is no longer a barrier and users are more empowered in their efforts to cure cancer, build safer vehicles, and better our overall environment,” says Marty Smuin, CEO of Adaptive Computing. “This latest innovation helps automate the experience in such a way that organizations can both reduce costs through sharing and improve productivity through faster application interaction and increased collaboration.”
Citigroup in Irving, Texas is seeking a Senior HPC Grid Engineer in our Job of the Week.
“Moab Viewpoint is the next generation of Adaptive Computing’s admin portal. This enhanced Web-based graphical user interface enables easy viewing of workload— status, reporting on resource utilization and other system metrics. The Moab Viewpoint Portal plays an instrumental role in ensuring SLAs are met — a key component of Adaptive Computing’s Big Workflow vision — by allowing HPC administrators to maximize uptime and prove services were delivered and resources were allocated fairly.”
“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.
In this special guest feature from Scientific Computing World, Tom Wilkie writes that while end-user scientists and engineers fear the complexity of running jobs in HPC, there are software toolkits available to help.
“Please join me in welcoming a new era — an era where HPC is the center of the business universe. It’s about keeping it simple and creating an ecosystem that adapts as demands dictate. Take the ease-of-use and collaboration of the cloud, couple that with the horsepower of HPC and extract the data necessary for the business to make game changing decisions. That’s the recipe for success and HPC is the cornerstone. HPC, take your rightful place in the data center.”
“This latest version of Moab underscores our commitment to innovation in the technical computing sectors,” said Rob Clyde, CEO at Adaptive Computing. “HPC’s powerful engine is at the core of extracting insights from big data, and these updates will enable enterprises to capitalize on HPC’s convergence with cloud and big data to garner faster insights for data-driven decisions.”
In this video from the Adaptive Computing booth at SC13, Brian Andrus from the Naval Postgraduate School presents: Supporting Multiple Researchers Using Moab. To support professors, students, and collaborators, the school’s HPC environment includes a diverse set of x86 processors, accelerators, compilers, and more.