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SLURM

partition

Job QOS# cores/# GPU
per job
max walltime

max running jobs per user/

max n. of cpus/nodes/GPUs per user

prioritynotes

m100_all_serial

(def. partition)

normal

max = 1 core,
1 GPU

max mem= 7600MB

04:00:00

4 cpus/1 GPU


40
m100_usr_prodm100_qos_dbgmax = 2 nodes02:00:002 nodes/64cpus/8GPUs45runs on 12 nodes
m100_usr_prodnormalmax = 16 nodes24:00:00
40runs on 880 nodes

m100_qos_bprod

min = 17 nodes

max =256 nodes

24:00:00256 nodes85runs on 512 nodes
m100_usr_preemptnormalmax = 16 nodes24:00:00
1

runs on 99 nodes

m100_fua_prod

(EUROFUSION)

m100_qos_fuadbgmax = 2 nodes02:00:00
45

runs on 12 nodes


m100_fua_prod

(EUROFUSION)

normalmax = 16 nodes24:00:00
40

runs on 68 nodes



m100_qos_fuabprodmax = 32 nodes24:00:00
40run on 64 nodes at same time
all partitions


qos_special


> 32 nodes


>24> 24:00:00


40 

request

to 

to superc@cineca.it

all partitions


qos_lowprio


max = 16 nodes

24:00:00


0


active projects with exhausted budget


M100 specific information

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As of August 5, 2020, the "PGI Compilers and Tools" technology is a part of the NVIDIA HPC SDK product, available as a free download from NVIDIA.

InvocationsUsage
nvcCompile C source files (C11 compiler. It supports GPU programming with OpenACC, and supports multicore CPU programming with OpenACC and OpenMP)
nvc++Compile C++ source files (C++17 compiler. It supports GPU programming with C++17 parallel algorithms (pSTL) and OpenACC, and supports multicore CPU programming with OpenACC and OpenMP)
nvfortranCompile FORTRAN source files (supports ISO Fortran 2003 and many features of ISO Fortran 2008. It supports GPU programming with CUDA Fortran and OpenACC, and supports multicore CPU programming with OpenACC and OpenMP)
nvccCUDA C and CUDA C++ compiler driver for NVIDIA GPUs


For legacy resons, the nVIDIA HPC SDK suite also offers the PGI C, C++, and Fortran compilers with their original names:

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