Tag: short computing jobs

Scheduling the Middle Ground

As more and more financial services firms make the jump to HPC, some consideration needs to be made in getting the most out of the cluster resources employed. Financial applications are typically embarrassingly parallel jobs that only account of a few seconds each of computing time. HPC scheduling engines typically rely on longer running jobs […]

Peeking Under the Hood of MTM

UPDATE: Adaptive Computing’s Moab Task Manager (MTM) is now referred to as Nitro. You can learn more about Nitro by reading this whitepaper, “High-Throughput Computing for HPC.” Adaptive Computing’s new ultra-fast task launcher, Moab Task Manager, is an exciting option for customers who have many short-lived tasks and want to shift the burden of running […]

What’s an Early Availability Program?

Early Availability Program (EAP) is Adaptive Computing’s process to get early feedback on new features. This program was designed to add an agile method of validating specific items while the engineers are still in the code. This allows participating customers to help shape the code and verify use cases before a full product release. This […]

Put Some Nitro In Your HPC Engine — Announcing MTM “Early Availability” Preview

All of us need to get more work done, faster. This is certainly true in traditional HPC, and it’s also imperative in map/reduce clusters, render clusters, and clouds. The dawn of exascale computing and the juggernaut of Big Data both demand that we get comfortable with millions of jobs in a queue, and thousands of […]

Moab Task Manager Demo Recap: Solution to Running Massive Amounts of Small Jobs Quickly

The most popular demo at the Adaptive Computing booth during Supercomputing 2013 demonstrated the new Moab Task Manager (MTM). MTM is the solution to running massive amounts of short jobs very quickly. By itself, the Moab scheduler is very good at choosing the best place to run jobs. However, it can take some time to […]