Univa Grid Engine Trial
Maintain service levels. Increase Uptime.
Address issues quickly.
Get important work done.
Align resource usage with business goals.
Ensure >95% utilization. Scale while maintaining policies and advanced capabilities.
Keep track of progress. Detect and understand issues. Comprehend resource usage.
Automate workflow processing.
Control applications end-to-end.
Integrate on-premise with cloud computing. Run mixed workloads on a single cluster.
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"Increase efficiencies, decrease costs and save lives"
Migrate HPC Environment to the CloudDownload PDF
Gavin Burris, Senior Project Leader
The Wharton School, University of Pennsylvania
Dr. Tyrone Grandison, Chief Information Officer
Institute for Health Metrics and Evaluation
Paolo Di Tommaso, Software Engineer
The Center for Genomic Regulation
May 2-4, 2018 | Copenhagen, Denmark
Red Hat Summit
May 8-10, 2018 | San Francisco, CA
Bio IT World
May 15-17, 2018 | Boston, MA
June 24-28, 2018 | San Francisco, CA
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Integrating Distributed Tensorflow with Grid Engine
Capitalizing on the opportunity of hybrid cloud in HPC
Machine Learning in Production
Univa Open Sources Project Tortuga to Accelerate the Migration of Enterprise HPC Workloads to the Cloud
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