Search Results for "pbs-drmaa"
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Showing 6 open source projects for "pbs-drmaa"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
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A C/C++ based client and server implementation of the OGSA Basic Execution Service, used to provide a Web Services interface to distributed resource managers such as Platform LSF and PBS/PBS Pro. The SOAP stack is provided by the gSOAP toolkit.
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FedStage OpenDSP is an open implementation of SOAP Web Service multi-user access and policy-based job control using OGF DRMAA routines supported by distributed resource management systems like Sun Grid Engine (SGE), LSF, PBSPro, Torque or Condor.
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FedStage DRMAA for Torque library is an implementation of Open Grid Forum's DRMAA 1.0 (Distributed Resource Management Application API) specification for the submission and control of jobs to Torque.
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XgridDRMAA is an Xgrid implementation of the Distributed Resource Management Application API (DRMAA), a simple framework for the submission and control of jobs to grid computing ("distributed resouce management") systems.
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ConnectWise PSA (formerly Manage) allows you to stop working in separate systems, and helps you build a more profitable business. No more duplicate data entries, inefficient employees, manual invoices, and the inability to accurately track client service issues. Get a behind the scenes look into the award-winning PSA that automates processes for each area of business: sales, help desk, support, finance, and HR.
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The Maui Scheduler is a tool to to extend the capabilities of existing resource manager systems such as PBS, SGE, Loadleveler, and so forth. It provides powerful tools for managing and optimizing clusters systems and features to enable effective use of t
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