![]() Can use several job slots on several nodes and needs to be started with mpirun or the Slurm substitute srun.Ī label to sort jobs by general requirements and intended execution nodes. Consequently an SMP job uses several job slots on the same node.Ī Job with distributed memory parallelization, realized with MPI. In our case Slurm, which is operated by shell commands on the frontends.Ī job consisting of one process using one job slot.Ī job with shared memory parallelization (often realized with OpenMP), meaning that all processes need access to the memory of the same node. The management system distributing job processes across job slots. gwdu101, gwdu102 and gwdu103 are our frontends.Ĭompute capacity for one process (or “thread”) at a time, usually one processor core, or CPU for short.Ī compute task consisting of one or several parallel processes. One of these computers, also called host.Ī special node provided to interact with the cluster via shell commands. NodeAddr=10.1.52.07 NodeHostName=usb-gpu-04 Version=14.In the following the basic concepts will be described.Ī collection of networked computers intended to provide compute capabilities. NodeName=gpu05 Arch=x86_64 CoresPerSocket=22ĬPUAlloc=0 CPUErr=0 CPUTot=44 CPULoad=0.10 Features= gpu A node with GPU resources available has the following listed in it's properties:.State=IDLE ThreadsPerCore=1 TmpDisk=0 Weight=1īootTime=T15:21:51 SlurmdStartTime=T13:58:01ĬurrentWatts=0 LowestJoules=0 ConsumedJoules=0ĮxtSensorsJoules=n/s ExtSensorsWatts=0 ExtSensorsTemp=n/s OS=Linux RealMemory=196608 AllocMem=0 Sockets=2 Boards=1 NodeName=comp-07-1 Arch=x86_64 CoresPerSocket=24ĬPUAlloc=0 CPUErr=0 CPUTot=48 CPULoad=0.47 Features= comp07,skylake,scr425gb ![]() You can query any particular node to see its properties: In SLURM, nodes may be tagged with a number of strings.The tasks can be moved from one cpuset to another to utilize other resources defined in those other cpusets. Sets of tasks can be assigned to these cpusets to constrain the resources that they use. These cpusets can then be arranged into a nested hierarchy visible in the "cpuset" virtual filesystem. Cpusets constrain the CPU and Memory placement of a task to only the resources defined within that cpuset. In the Linux kernel, the cpuset facility provides a mechanism for creating logical entities called "cpusets" that encompass definitions of CPUs and NUMA Memory Nodes (if NUMA is available). string:number - GPU allocation example, gpu:4.string - time specification, ((d-)hh:mm:ss Maximum amount of real time during which the job can be in the running state.string - memory allocation per node, 90gb, 16gb, 512mb, etc.integer - processes per node ( not processors).There are many SLURM users, so a Google search is bound to find great documentation as well, like this page at the Leibniz Supercomputing Centre. Please see the official documentation for a requesting resources and detailed definitions with batch submission. ![]()
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