CCMS

1. Large-Scale Parallel Computing Server (Cray XC50-LC) manuals(20210827)

Cray

1. Cray Documentation Portal
2. XC Series Programming Environment User Guide (17.05) S-2529
3. Cray C and C++ Reference Manual (8.6) S-2179
4. Cray Fortran Reference Manual (8.6) S-3901
5. Cray C and C++ Reference Manual (8.7) S-2179
6. Cray Fortran Reference Manual (8.7) S-3901

Intel

7. Intel Fortran Compiler Developer Guide and Reference
8. Intel C++ Compiler Developer Guide and Reference

Cray LibSci

1. LibSci outline
   login to "super.sc.imr.tohoku.ac.jp", and run the following command.
   $ man intro_libsci
2. BLAS(Basic Linear Algebra Subroutines)
   login to "super.sc.imr.tohoku.ac.jp", and run the following command.
   BLAS1: $ man blas1
   BLAS2: $ man blas2
   BLAS3: $ man blas3
   
3. LAPACK(Linear Algebra routines)
4. ScaLAPACK(parallel Linear Algebra routines)
   ScaLAPACK outline: $ man intro_scalapack
5. BLACS
   login to "super.sc.imr.tohoku.ac.jp", and run the following command.
   $ man blacs
6. IRT(Iterative Refinement Toolkit)
   Cray IRT outline and functions: $ man intro_irt
7. SuperLU DIST(sparse solvers)
   SuperLU users guide
   online documents

1. Accelerator Server (Cray CS-Storm) manuals(20210827)

NVIDIA CUDA Toolkit

1. CUDA Toolkit Documentation v9.0.176
2. CUDA Toolkit Documentation v10.1.243
3. CUDA Toolkit Documentation v10.2.89

Intel compiler

4. Intel Fortran Compiler Developer Guide and Reference
5. Intel C++ Compiler Developer Guide and Reference

GPU-Accelerated CUDA Libraries

1. CUDA API References v9.0.176
2. CUDA API References v10.1.243
3. CUDA API References v10.2.89

1. Cloud service server (calculation server)

Users can submit jobs through PBS job scheduling software from the front-end nodes. It is mainly used for running non-parallelized programs or small jobs which run with less than 2 nodes. The main memory size is 567 GiB per node. It is less than Large-scale parallel computing server and Accelerator server, but the CPU frequency is better than them. If you run small jobs, it may be efficient to use this server. Also, users can run several non-parallelized jobs in one job simultaneously.



2. Cloud service server (virtual server)

Users can use to occupy this server (32 cores per node, 36 cores per user, and available period is up to 4 weeks) by reserving from reservation portal site. This server provides data integration, analysis, and visualization functions to promote research by materials informatics. Users can use server which has 32 cores up to 4 weeks. So, users can run long time job in this server.

Reservation portal site:
https://cmsportal.sc.imr.tohoku.ac.jp/reservation_portal/login



3. Visualization server

Users can use application programs to visualize simulation results.

User Guide

Check the following PDF data.