Welcome to TGCC documentation

Content

• Introduction
  • The computing center
  • Access to computing resources
• Getting Started
  • Accessing the HPC System
  • Setting up Your User Environment
  • Compiling Code on the Cluster
  • Using Python on the Cluster
  • Submitting Your First Job
  • Understanding Data Spaces
  • Further Topics
• Trainings
• Supercomputer architecture
  • Configuration of Irene
  • Interconnect
  • Lustre
• User account
• Interactive access
  • System access
  • Login nodes usage
  • Remote Desktop System service (NiceDCV)
• Data spaces
  • Available file systems
  • Quota
  • Data protection
  • Personal Spaces
  • Shared Spaces
  • Parallel file system usage monitoring
  • Data management on STORE
  • Data management on SCRATCH
  • Large files management
  • Cloud storage with S3 (MinIO)
• Data transfers
  • File transfer
  • CCFR infrastructure
  • PRACE infrastructure
• Environment management
  • What is module
  • Module actions
  • Initialization and scope
  • Major modulefiles
  • Extend your environment with modulefiles
• Softwares
  • Generalities on software
  • Product Life cycle
  • Python
  • Alphafold
  • DMTCP
  • Products list
  • Specific software
• Products list
  • Applications
  • Compilers
  • Graphics
  • Libraries
  • Parallel
  • Tools
• Job submission
  • Scheduling policy
  • Choosing the file systems
  • Submission scripts
  • Job submission scripts examples
  • Job monitoring and control
  • Special jobs
• Project accounting
  • Computing hours consumption control process
  • ccc_myproject
  • ccc_compuse
• Compilation
  • Language standard
  • Available compilers
  • Available numerical libraries
  • Compiling for Skylake
  • Compiling for Rome/Milan
• Parallel programming
  • MPI
  • OpenMP
  • GPU-accelerated computing
• Runtime tuning
  • Memory allocation tuning
• Process distribution, affinity and binding
  • Hardware topology
  • Definitions
  • Process distribution
  • Process and thread affinity
  • Hyper-Threading usage
  • Turbo
• Parallel IO
  • MPI-IO
  • Recommended data usage on parallel file system
  • Parallel compression and decompression with pigz
  • MpiFileUtils
• Debugging
  • Summary
  • Compiler flags
  • GDB
  • DDT
  • TotalView
  • Pdb Python debugger
  • Other tools
• Profiling
  • Summary
  • SelFIe
  • IPM
  • Linaro-forge MAP
  • Scalasca
  • Vampir
  • Score-P
  • Darshan
  • PAPI
  • Memonit
  • Valgrind
  • TAU (Tuning and Analysis Utilities)
  • Perf
  • Extra-P
  • AMD µProf
  • Gprof
  • Gprof2dot
  • cProfile: Python profiler
  • Nsight System
  • Nsight Compute
• Post-processing
  • Gnuplot
  • Xmgrace
  • Tecplot
  • Ensight
  • visit
  • paraview
• Virtualisation
  • Introduction
  • Containers
  • Docker environment
  • Virtual machines
• Quantum software stack
  • Quantum computing at TGCC
  • Connection and environment
  • Graphical Environment
  • One environment, different use cases
  • Examples: basic programs
  • Using Qaptiva