IBM Platform LSF Session Scheduler - license + 1 Year Software Subscription

Mfg. Part: D0VC2LL | CDW Part: 4402549 | UNSPSC: 43232201
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  • License + 1 Year Software Subscription and Support
  • 1 resource value unit
  • Passport Advantage Express
  • Linux
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  • License + 1 Year Software Subscription and Support
  • 1 resource value unit
  • Passport Advantage Express
  • Linux
Today, many technical and high performance computing (HPC) users have to accept tradeoffs. The productivity gains of scalable workloads are often balanced against the challenges of managing large numbers of short-duration jobs. Often they have to adjust their workloads to address the constraints of the workload scheduler. Sometimes it can take longer to set up a short duration job than it takes to run it, which leads to inefficient system performance particularly when submitting a large volume of identical jobs.

The IBM Platform Session Scheduler gives you the best of both worlds: speed and volume. It is designed to work with IBM Platform LSF to provide high-throughput, low-latency scheduling for a wide-range of workloads. Platform Session Scheduler is particularly well suited to environments that run high volumes of short-duration jobs and where users require faster and more predictable job turnaround times.

Unlike traditional batch schedulers that make resource allocation decisions for every job submission, with Platform Session Scheduler you can specify resource allocation decisions only once for multiple jobs in a session, which effectively gives you your own virtual private cluster. With this more efficient scheduling model, you benefit from higher job throughput and faster response times.

In traditional batch scheduling environments, large numbers of short-running jobs can lead to clusters being poorly utilized. With Platform Session Scheduler, you can dispatch tasks immediately without needing to wait for the main scheduler to make a decision, which leads to dramatic gains in efficiency. Because cluster resources are used more efficiently, a fixed number of cluster nodes are able to process a higher volume of jobs or support a larger user community.

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