************ Batch System ************ OpenPBS software optimizes job scheduling and workload management in high-performance computing (HPC) environments – clusters, clouds, and supercomputers – improving system efficiency and people’s productivity. Built by HPC people for HPC people, OpenPBS is fast, scalable, secure, and resilient, and supports all modern infrastructure, middleware, and applications. Batch queue list ================ TEM farm provides multiple batch queues with different characteristics to users who submit jobs to analyze large-scale Cryo-EM data. A batch queue means a logical set of CPU and GPU computing resources. Users interact with a specific queue to manange their own jobs. Within each queue, submitted jobs are executed in order (First-in-first-out). Note that multiple jobs requiring CPU and/or GPU resources can be executed concurrently if there are enough available resources in the queue. .. image:: images/batch.png :scale: 70 % :align: center .. tabularcolumns:: |\Y{0.1}|\Y{0.1}|\Y{0.5}|\Y{0.3}| .. table:: My Table :widths: auto :class: longtable | +--------------+-----------------+-------------------------------------------------------------------------------+------------------------------------+ | Category | Queue Name | Assigned Computing Resources | Remarks | +==============+=================+===============================================================================+====================================+ | Shared | **cpuQ** | - tem-wn[1001-1002]-el7.sdfarm.kr (36 cores and 384GB memory per node) | - 380 Physical CPU cores | | | | - tem-wn[1003-1013]-el7.sdfarm.kr (28 cores and 192GB memory per node) | | | +-----------------+-------------------------------------------------------------------------------+------------------------------------+ | | **gpuQ** | - tem-gpu[01-03]-el7.sdfarm.kr (28 cores, 2 P100 GPUs and 384GB mem.) | - 300 Physical CPU cores | | | | - tem-gpu[04-05]-el7.sdfarm.kr (28 cores, 2 P40 GPUs and 256GB mem.) | - 26 GPUs | | | | - tem-gpu[06-07]-el7.sdfarm.kr (32 cores, 2 A100 GPUs and 256GB mem.) | - P100 16GB device memory | | | | - tem-gpu[08-10]-el7.sdfarm.kr (32 cores, 4 A100/V100 GPUs and 384GB mem.) | - P40 24GB device memory | | | | | - V100 32GB device memory | | | | | - A100 40GB device memory | | | | | - A100 80GB device memory | +--------------+-----------------+-------------------------------------------------------------------------------+------------------------------------+