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      • 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. Archiving data to the HPC archive and IDA storage services
          • 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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        • Proposal Form
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        • GIS@CSC news 4/2014
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1. Introduction

1.1 Sisu supercomputer

1.1.1 User Policy
1.1.2 Hardware

1.2 Operating system and shell environment

1.3 Connecting to Sisu

1.4 Monitoring the load in Sisu

1.5 Disk environment

1.5.1 Home directory

1.5.2 Work directory

1.5.3 Software installation directory

1.5.4 Monitoring disk usage

 

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