One can use the help facility within cuda-gdb GPU QoS ¶Įxamples ¶ Job submission script using one GPU on a single node ¶Ī job script that requires 1 GPU accelerator and 10 CPU cores for 20 minutesĭebugging then proceeds as usual. Your job script must specify a QoS relevant for the GPU nodes. Your job script must specify a partition. However, only your GPU hours will be consumed when running these jobs. GPU hours and positive CPU core hours associated with it. In order to run jobs on the GPU nodes your budget must have positive It is, for example, not possible to request 6 GPUs other than via gres=gpu:4 options must be included in your submission script. If more than one node is required, exclusive mode -exclusive and If you specify the -exclusive option, you will automatically beĪllocated all host cores and all memory from the node irrespective
#CIRRUS CARD HOW TO#
See belowįor some examples of how to use host resources and how to launch MPI Submission script should not specify options such as -ntasks and This automatic allocation by SLURM for GPU jobs means that the Any attempt to use more than the allocated resources Requested, sbatch will allocate 20 cores and around 190 GB of host memory Resources of the node, i.e., 10/40 physical cores and roughly 91/384 GB inĪllocations of host resources are made pro-rata. Versions of the SDK are available via the module system.Īs there are 4 GPUs per node, each GPU is associated with 1/4 of the Relevant compilers and libraries needed to build and run GPU programs. NVIDIA now make regular releases of a unified HPC SDK which provides the
#CIRRUS CARD SOFTWARE#
Compiling software for the GPU nodes ¶ NVIDIA HPC SDK ¶ Each core supports two threadsįor further details of the V100 architecture see, Of 384 GB host memory (192 GB per socket). In both cases, the host node has two 20-core sockets (2.5 GHz) and a total Should add the specific compilation options appropriate for the processor. More recent Intel Cascade Lake architecture. The remaining 36 nodes form the gpu-cascade partition and have the slightly Nodes are only available for short testing/development jobs via the short QoS. Gpu-skylake features two GPU nodes that each have Intel Skylake processors. There are two GPU Slurm partitions installed on Cirrus. Maximum device memory bandwidth is in the region of 900 GB per second.Įach card has 5,120 CUDA cores and 640 Tensor cores. Hardware details ¶Īll of the Cirrus GPU nodes contain four Tesla V100-SXM2-16GB (Volta) cards.Įach card has 16GB of high-bandwidth memory, HBM, often referred to asĭevice memory. The GPU cards on Cirrus do not support graphics rendering tasks theyĪre set to compute cluster mode and so only support computational tasks. Hardware it also covers how to compile and run standard GPU applications. This section of the user guide gives some details of the Job submission script using multiple GPUs on multiple nodesĬirrus has 38 GPU compute nodes each equipped with 4 NVIDIA V100 (Volta).
Job submission script using multiple GPUs on a single node.Job submission script using one GPU on a single node.
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