FREMONT, Calif.--()--Penguin Computing, experts in high performance computing (HPC) solutions, today announced the immediate availability of PODtool, an interface that makes it easy to offload excess workload to Penguin’s on-demand environment Penguin Computing on Demand (POD).
“Penguin Computing has always provided HPC solutions that work reliably and are easy to use. Just as Scyld ClusterWare simplifies the use and management of a Linux HPC cluster, PODtool makes it easy to tap into additional compute resources to spill over computational workload”
With PODtool HPC in the cloud users can now:
- Easily and quickly tap Penguin Computing’s compute resources from any Linux system without having to allocate and de-allocate server instances
- Integrate ‘spill over’ job submission into an existing workflow and avoid delayed processing of workflows due to internal resource constraints
- Automatically transfer data and analysis results from and to POD
PODtool is a web-service based command line interface that drastically simplifies the management of compute jobs on Penguin Computing’s HPC on-demand offering POD. Compute job scripts for SGE and TORQUE can be submitted and will be implicitly routed to the corresponding execution environment. Data staging commands allow for easy data transfer of job input and output data to and from POD. Job control and monitoring features enable users to fully control compute jobs they are authorized to manage. PODtool’s user account mapping capabilities facilitate the management of POD compute jobs from any Linux system.
The development of PODtool has been driven by feedback provided by POD customers looking for easy access to Penguin Computing’s on-demand resources. The Information Management Systems & Services (IMSS) organization at the California Institute of Technology (Caltech) has been working with Penguin on making computational POD resources available to Caltech’s scientific community through podsh: “Our researchers and students make intensive use of the numerical computing environment Matlab. We have been increasingly ‘maxing out’ out our internal compute resources with Matlab jobs. With a limited budget for capital expenditures we started looking at making compute cycles available on-demand to the Caltech research community. PODtool was a real differentiator Penguin Computing offered, as it has been an absolute requirement for us to make it easy for our users to use remote resources, to lower our support burden”, says Chad Schmutzer, Associate Director of Academic Computing Solutions.
“Penguin Computing has always provided HPC solutions that work reliably and are easy to use. Just as Scyld ClusterWare simplifies the use and management of a Linux HPC cluster, PODtool makes it easy to tap into additional compute resources to spill over computational workload”, says Tom Coull, Senior Vice President and General Manager for Software and Services at Penguin Computing.
PODtool is made available immediately for all customers signing up for POD access through http://www.penguincomputing.com/POD/GettingStarted
About Penguin Computing
Penguin Computing is a global leader in high-performance computing (HPC), delivering complete, integrated HPC solutions, from the workstation to the cloud. With a focus on cutting-edge technology, ease-of-use and exceptional customer service, Penguin cost-effectively meets the needs of the world’s most demanding HPC users, including Caterpillar, Lockheed Martin, the U.S. Air Force, and the U.S. Navy. Today, Penguin delivers a range of solutions, from massive Linux clusters to “Penguin on Demand” (POD), a new service that provides a complete HPC solution in the cloud. Penguin has been an innovator in HPC solutions for over a decade, and the company’s founder Donald Becker is recognized as the “Father of Linux Clustering.” For more information about Penguin Computing and Penguin products please go towww.penguincomputing.com.
Penguin Computing is a registered trademark of Penguin Computing, Inc. Penguin on Demand is a pending trademark in the U.S. All other trademarks are property of their respective owners. Other product or company names mentioned may be trademarks or trade names of their respective companies.