TORQUE resource manager

By Garrick Staples. International Conference on Software Composition, 2006

387 citations recorded by the source corpus.

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Management of an academic HPC cluster: The UL experience (2014, background): “[12] I. Adaptive Computing, “Torque resource manager,” [online] http: //www.adaptivecomputing.com/.”
Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing (2014, background): “Job scheduling was extensively studied [24, 25] in high-performance computing for scheduling batch CPUintensive jobs and has become a hot topic again with emerging data-parallel systems [7, 15, 29].”
Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices (2019, background): “Systems like Mesos [51], Torque [87], Tarcil [38], and Omega [82] all target the problem of resource allocation in large, multi-tenant clusters.”
A Next-Generation Sequencing Approach to River Biomonitoring Using Benthic Diatoms (2014, background): “Briefly, C and python codes are conserved as such, and scripts are written for submission to the cluster scheduler Torque/ Maui (Staples 2006, Seth and Murphy 2009) or to the European grid infrastructure (EGI), via the Dirac interface (Tsaregorodtsev et al. 2008).”
Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center (2011, methodology): “First, we have ported three existing cluster computing systems: Hadoop [2], the Torque resource scheduler [33], and the MPICH2 implementation of MPI [16].”