VIP20
本课程属于：019-CAE Automation with Python and Linux English Technical Courses · 共 20 门相关课程，组合学习更完整。
查看所属VIP全部课程 →
← 返回所属目录 咨询 / 购买

Linux CAE Job Submission and Monitoring Automation

30 Chapters
View Course Samples Online
01
CAE workload characteristics on Linux
solver types, resource profiles, and job lifecycle stages.
CAEworkload
02
Linux job scheduling landscape
SLURM, PBS Pro, LSF, and SGE architecture and terminology.
schedulinglandscape
03
Batch script fundamentals
shebang, directives, environment modules, and resource requests.
directivesenvironment
04
Submitting CAE jobs with sbatch, qsub, and bsub
syntax, options, and solver-specific wrappers.
SubmittingCAE
05
Job arrays and parameter sweeps for design-of-experiments and parametric CAE studies.
Job arrays and parameter sweeps for design-of-experiments and parametric CAE studies.
parameterdesign-of-experiments
06
Interactive and GUI-based CAE sessions
X11 forwarding, VNC, and remote visualization.
InteractiveGUI-based
07
Monitoring job states
squeue, qstat, bjobs, and custom status parsers.
Monitoring
08
Real-time resource utilization tracking
top, htop, nvidia-smi, and scheduler accounting.
Real-timeresource
09
Log file management for CAE solvers
stdout, stderr, and solver-specific output files.
managementCAE
10
Automated convergence and error detection in solver logs using grep, awk, and Python.
Automated convergence and error detection in solver logs using grep, awk, and Python.
Automatedconvergence
11
Email and webhook notifications for job completion, failure, and timeout events.
Email and webhook notifications for job completion, failure, and timeout events.
notificationscompletion
12
Dependency chains and workflow orchestration
afterok, afterany, and job steps.
Dependencyworkflow
13
Checkpointing and restart automation for long-running CAE simulations.
Checkpointing and restart automation for long-running CAE simulations.
Checkpointingautomation
14
License management and queuing strategies for commercial CAE solvers.
License management and queuing strategies for commercial CAE solvers.
managementstrategies
15
File staging and I/O optimization
scratch directories, Lustre, and GPFS best practices.
I/Ooptimization
16
Containerized CAE jobs
Singularity, Apptainer, and Docker under HPC schedulers.
ContainerizedCAE
17
GPU-accelerated CAE job submission
CUDA, OpenACC, and scheduler GPU resource flags.
GPU-acceleratedCAE
18
Python automation with subprocess, paramiko, and fabric for remote job control.
Python automation with subprocess, paramiko, and fabric for remote job control.
automationsubprocess
19
REST API integration
SLURM REST, PBS API, and custom monitoring dashboards.
RESTAPI
20
Database-backed job tracking
SQLite, PostgreSQL, and time-series metrics storage.
Database-backedtracking
21
Building a web dashboard for CAE job monitoring with Flask or FastAPI.
Building a web dashboard for CAE job monitoring with Flask or FastAPI.
Buildingdashboard
22
Automated post-processing triggers
launching ParaView, EnSight, or Python scripts on completion.
Automatedpost-processing
23
Failure taxonomy and automated remediation
node failures, license exhaustion, and disk quotas.
taxonomyautomated
24
Security and access control
SSH keys, Kerberos, and role-based job submission policies.
SecuritySSH
25
Scalability and performance tuning of automation scripts for thousands of jobs.
Scalability and performance tuning of automation scripts for thousands of jobs.
Scalabilityperformance
26
Case study
automating a CFD parameter sweep from geometry to convergence report.
automatingCFD
27
Case study
FEA job monitoring and restart automation for structural analysis.
FEAmonitoring
28
Case study
multi-solver coupled CAE workflow orchestration on a Linux cluster.
multi-solverCAE
29
Testing, validation, and CI/CD for CAE automation scripts and pipelines.
Testing, validation, and CI/CD for CAE automation scripts and pipelines.
validationCI/CD
30
Capstone project
end-to-end CAE job submission, monitoring, and reporting system.
Capstoneend-to-end