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  • Computing and Software
    • High Performance Computing
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      • Guides
        • CSC Computing environment user guide
          • 1. Introduction
            • 1.1 Notation used in this guide
            • 1.2 Getting access to CSC services
            • 1.3 Connecting the servers of CSC
            • 1.4 Projects and resources
            • 1.5. Monitoring and applying computing resources
          • 2. Linux basics for CSC
            • 2.1 Using Linux in command line
            • 2.2 Editing text and viewing images
            • 2.3 Working with bash shell
            • 2.4. More commands for managing files
            • 2.5 Commands for data processing
            • 2.6 Packing and compression tools
            • 2.7 Linux scripts
          • 3. Directories and data storage at CSC
            • 3.1 User specific directories at the servers of CSC
            • 3.2. Storing data in the CSC computing environment
            • 3.3 Using Object Storage in computing servers
          • 4. Running applications at the servers of CSC
            • 4.1 Application software selection at CSC
            • 4.2 Environment module systems
            • 4.3 Batch jobs
          • 5. Moving data between CSC and local environment
            • 5.1 Copying files from linux and Mac OSX machines with scp
            • 5.2 Graphical data transfer tools
            • 5.3 Using rsync for data transfer and synchronisation
            • 5.4 Using wget to download data from web sites to CSC
            • 5.5 Using Funet FileSender to share and transport files
            • 5.6 Remote disk mounts
            • 5.7 Data transport with Scientist's User Interface
          • Appendixes
            • 1. List of linux commands discussed in this guide
        • Sisu User Guide
          • 1. Introduction
            • 1.1 Sisu supercomputer
            • 1.2 Operating system and shell environment
            • 1.3 Connecting to Sisu
            • 1.4 Monitoring the load in Sisu
            • 1.5 Disk environment
          • 2. Module environment
          • 3. Using the batch job environment
            • 3.1 Using SLURM commands to execute batch jobs
            • 3.2 Constructing a batch job file
            • 3.3 Using aprun to execute parallel processes
            • 3.4 Hybrid parallel jobs
            • 3.5 Interactive batch jobs
            • 3.6 Using Hyper-threading in batch jobs
            • 3.7 Using DataWarp burst buffering
          • 4.Compiling environment
            • 4.1 Available Compilers
            • 4.2 Mathematical libraries
            • 4.3 Using MPI
            • 4.4 Shared memory and hybrid parallelization
            • 4.5 Debugging Parallel Applications
            • 4.6 Profiling Parallel Applications with CrayPAT
        • Taito User Guide
          • 1. Introduction
            • 1.1 Taito supercluster
            • 1.2 Operating system and shell environment
            • 1.3 Connecting to Taito
            • 1.4 Monitoring the load in Taito
            • 1.5 Disk environment
          • 2. The module system in Taito
            • 2.1 Basic usage
            • 2.2 Advanced topics
          • 3. Batch jobs
            • 3.1 Constructing SLURM batch job files
            • 3.2 Using SLURM commands to execute batch jobs
            • 3.3 Parallel batch jobs
            • 3.4 Interactive batch jobs
            • 3.5 Array jobs in Taito
            • 3.6 Profiling with Performance Reports
          • 4. Compiling environment
            • 4.1 Available Compilers
            • 4.2 Mathematical libraries
            • 4.3 Using MPI
            • 4.4 Shared memory and hybrid parallelization
            • 4.5 Debugging parallel applications
            • 4.6 Processor architechture specific compiling
            • 4.7 Taito profiling
          • 5. User's own software installations
            • Example 1
          • 6. Using Taito-GPU
            • 6.1 Taito-GPU hardware and operating system
            • 6.2 Getting access to Taito-GPU
            • 6.3 Module and storage environment on Taito-GPU
            • 6.4 Compiling and linking GPU-programs
            • 6.5 Running GPU-programs
            • 6.6 Deploying GPU + MPI-programs
            • 6.7 Profiling GPU-programs
            • 6.8 Debugging GPU-programs
            • 6.9 Using Taito-GPU's graphics cards for rendering
          • 7. Using Taito-shell for interactive processes
          • Taito FAQ
          • Appendixes
            • Compiling in Haswell processor environment
        • Pouta User Guide
          • 1. Concepts of cloud computing
          • 2. Getting access to the Pouta service
            • 2.1 Applying for Pouta access
            • 2.2 Security Guidelines for Pouta
            • 2.3 Accounting principles and quotas
          • 3. Using Pouta
            • 3.1 Virtual machine flavors
            • 3.2 Launching a virtual machine with the Pouta web interface
            • 3.3 Connecting to your virtual machine
            • 3.4 Command line client tools
              • 3.4.1 Installation using package manager tools
              • 3.4.2 Using Pouta from the command line
            • 3.5 Virtual machine lifecycle & saving billing units
            • 3.6 Orchestration with Heat
            • 3.7 Container Orchestration
            • 3.8 Application Development Practices in Pouta
          • 4. Storage in Pouta
            • 4.1 Ephemeral storage
            • 4.2 Persistent volumes
            • 4.3 Snapshots
            • 4.4 Object Storage
              • 4.4.1 Benefits
              • 4.4.2 System Characteristics
              • 4.4.3 Common Use Cases
              • 4.4.4 Quotas and Billing
              • 4.4.5 Using Object Storage
              • 4.4.6 Accessing the object storage from Taito
              • 4.4.7 Common Error Messages
          • 5. Creating, Uploading & Sharing virtual machine images
          • 6. Additional Services
            • 6.1 Sending e-mail from cPouta
            • 6.2 DNS services in cPouta
          • 7. Frequently asked questions about Pouta
          • 8. Known problems and limitations
          • 9. cPouta and ePouta related videos
        • FGCI User Guide
          • 1. Preparatory steps
            • 1.1 Grid certificates
            • 1.2 Joining the fgi.csc.fi Virtual Organization
            • 1.3 ARC middleware
          • 2. Using FGCI with ARC middleware
            • 2.1 Job description files
            • 2.2 Executing grid jobs with ARC commands
            • 2.3 Using software through runtime environments
            • 2.4 Running parallel applications in FGCI
            • 2.5 Using arcrunner to run large job sets in FGCI
            • 2.6 Using storage elements for data transport in FGCI
          • 3. Grid monitor
        • Kaivos User Guide
          • 1. Getting a database account
          • 2. MySQL client programs at CSC
          • 3. Data import and export
          • 4. Using MySQL client through batch job system
          • 5. Using kaivos.csc.fi directly from your local computer
          • 6. Using Perl MySQL API at CSC
          • 7. Python MySQL API at CSC
      • FAQ Knowledge Base
        • FAQ details
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          • GIS@CSC news 4/2014
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CSC Service Desk

Open Monday to Friday
from 8.30 a.m. to 4 p.m.

 phone +3589 457 2821
 servicedesk@csc.fi

Contact us

CSC - IT CENTER FOR SCIENCE LTD.
P.O. Box 405 FI-02101 Espoo, Finland
phone +3589 457 2001
servicedesk@csc.fi

Visiting address:
Life Science Center Keilaniemi
Keilaranta 14, Espoo

Datacenter CSC Kajaani:
Tehdaskatu 15 P21
87100 Kajaani

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