Introduction to High Performance Computing (HPC) Resources at GACRC
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1 Introduction to High Performance Computing (HPC) Resources at GACRC Georgia Advanced Computing Resource Center University of Georgia Zhuofei Hou, HPC Trainer 1
2 Outline GACRC? High Performance Computing (HPC) GACRC Sapelo Cluster 2
3 GACRC Who Are We? Georgia Advanced Computing Resource Center Collaboration between the Office of Vice President for Research (OVPR) and the Office of the Vice President for Information Technology (OVPIT) Guided by a faculty advisory committee (GACRC-AC) Why Are We Here? To provide computing hardware and network infrastructure in support of high-performance computing (HPC) at UGA Where Are We? (Web) (Web Help) (Wiki Help) (Wiki) 3
4 High Performance Computing (HPC) Serial: Serial problem can not be broken Discrete instructions executed sequentially Only 1 instruction executed at any moment on a single processor Parallel: Problem broken into parallel parts can be solved concurrently Instructions executed simultaneously on multiply processors Synchronization/communication employed Shared-memory multithreaded job or MPI job (Message Passing Interface) 4
5 GACRC Sapelo Cluster Cluster Structural Diagram Cluster Overview Computing Resources Storage Environment Software Modules Run Batch Jobs: Workflow, Submit Job, and Job Submission Script 5
6 9/26/2016 MIBO8150, FALL
7 Cluster Overview Sapelo is a Linux high-performance computing (HPC) cluster: OS: 64-bit CentOS Linux 6.5 You can log on to: Login (username@sapelo1.gacrc.uga.edu) : edit script, submit batch job Transfer (username@xfer.gacrc.uga.edu) : transfer, compress, package data Login Interactive Node : run interactive job, edit script, submit batch job Queueing System: Torque + Moab with qsub, qstat, qdel commands 7
8 Computing Resources Queue Node Feature Total Processor Cores /Node RAM (GB) /Node Max RAM (GB) /Single-node Job GPU GPU Cards /Node InfiniBand AMD AMD 48 Opteron N/A N/A Yes batch HIGHMEM 7 AMD Opteron (6) (1) 997 N/A N/A Yes GPU 2 Intel Xeon NVIDIA K40m 8 Yes Peak Performance per Node: 500Gflops/Node Home: /home/username: 100GB Global scratch: /lustre1/username: NO quota limit, auto-moved to /project if no modification in 30 days! 8
9 9
10 Storage Environment 4 Filesystems Role Quota Intended Use Notes /home/username Home 100GB Highly static data being used frequently Snapshots /lustre1/username Global Scratch No Limit Temporarily storing large data being used by jobs Auto-moved to /project if 30 days no modification /project/abclab Storage Variable Long-term data storage Group sharing possible Note: /usr/local/apps : Software installation directory /db : Bioinformatics database installation directory 10
11 Storage Environment Accessing Rule of 123: /home /lustre1 /project qlogin Login Interactive Transfer
12 Software Modules Sapelo uses environment modules to define paths for software Current number of modules installed is ~300 and expanding daily! module avail module list module load List all modules available on Sapelo List modules currently being loaded for use Load modules needed module unload Unload modules not needed 12
13 13
14 14
15 Run Batch Jobs Components you need to run a job: Software already loaded. If not, used module load Job submission script to run the software, and specify computing resources: Number of nodes and cores Amount of memory Type of nodes Maximum wallclock time, etc. Common commands you need: qsub, qstat, qdel 15
16 Run Batch Jobs Submit Job workdir]$ pwd n15: interactive node /lustre1/zhuofei/workdir /lustre1/zhuofei/: global scratch workdir]$ workdir]$ qsub sub.sh pbs.scm qsub is to submit a job sub.sh is your job submission script specifying: Number of nodes and cores Amount of memory Type of nodes Maximum wallclock time, etc. 16
17 Run Batch Jobs Job Submission Script Example: Serial job submission script sub.sh running NCBI Blast + #PBS -S /bin/bash Linux shell (bash) #PBS -q batch Queue name (batch) #PBS -N testblast Name of the job (testblast) #PBS -l nodes=1:ppn=1:amd Number of nodes (1), number of cores/node (1), node type (AMD) #PBS -l mem=20gb Maximum amount of physical memory (20 GB) used by the job #PBS -l walltime=48:00:00 Maximum wall clock time (48 hours) for the job, default 6 minutes cd $PBS_O_WORKDIR Use the directory from which the job is submitted as the working directory module load ncbiblast+/ Load the module of ncbiblast+, version time blastn [options] > outputfile Run blastn with time command to measure the amount of time it takes to run the application 17
18 User Account User Account: A valid official UGA MyID is a MUST to create a user account! To get a user account: 1. Computing Lab Registration: (for PI of a new group) 2. User Account Request: (for PI of an existing group) 3. New User Training: 4. Welcome letter with whole package of information about your Sapelo user account 18
19 Useful Links GACRC Web: GACRC Wiki: GACRC Help : GACRC Training: GACRC User Account: GACRC Software: Georgia Advanced Computing Resource Center 4098C Stegeman Coliseum University of Georgia Athens, GA Telephone Support EITS HELPDESK: MONDAY THURSDAY: 8AM 10PM FRIDAY: 8AM 6PM SATURDAY SUNDAY: 1PM 7PM 19
20 Thank You! 20
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