https://wiki.unite.uni-sofia.bg/ 2026-07-21T03:53:28+00:00 https://wiki.unite.uni-sofia.bg/ https://wiki.unite.uni-sofia.bg/lib/exe/fetch.php?media=wiki:logo.png text/html 2026-02-24T14:09:15+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=access&rev=1771942155&do=diff 🔐 How to Get Access to the Cluster To gain access to the cluster, follow the steps below to generate an SSH key and send it to the administrators. 🖥️ Step 1: Generate an SSH Key Pair 🔷 Linux / macOS Open your terminal. Run the following command: text/html 2026-03-09T09:46:50+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=available_hardware&rev=1773049610&do=diff Cluster Hardware Overview This page provides an overview of the hardware and partitions available on the cluster. The cluster is equipped with modern Intel CPUs and NVIDIA GPUs to support a wide range of high-performance and GPU-accelerated workloads. text/html 2026-01-08T21:49:26+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=examples_cplusplus&rev=1767908966&do=diff A C++ examples text/html 2026-06-13T12:24:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=examples&rev=1781353440&do=diff Guide to SLURM Resource Management and Job Submission This guide provides an advanced overview of the SLURM (Simple Linux Utility for Resource Management) workload manager and the underlying physical architecture of the UNITE HPC cluster. It covers theoretical network topologies, inter-node communication, deep hardware utilization mechanics, user workflows, and best practices for parallel execution. text/html 2026-04-07T15:17:24+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=slurm_most_used_commands&rev=1775575044&do=diff Slurm Commands Cheat Sheet 1. Cluster Status (sinfo) sinfo displays partitions and node states. Command Description sinfo Basic view of partitions and nodes sinfo -N Show individual node names sinfo -p gpu Filter by specific partition (e.g., GPU) text/html 2025-04-07T17:03:39+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=slurm_tutorial&rev=1744045419&do=diff SLURM - Simple Linux Utility for Resource Management SLURM is an open-source workload manager designed for Linux clusters of all sizes. It provides job scheduling and resource management to optimize cluster utilization.It is a highly scalable cluster management and job scheduling system for large and small Linux clusters. It is used by some of the world’s most powerful supercomputers. It menages resources such as CPU, GPU, Memory, etc text/html 2026-06-13T12:23:40+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=start&rev=1781353420&do=diff HPC UNITE Cluster Welcome to the UNITE Cluster Wiki at the Faculty of Mathematics and Informatics, Sofia University. Discover essential information about our high-performance computing (HPC) resources, including: - General overviews of HPC systems - Software modules and usage examples text/html 2026-04-06T11:03:44+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_base_python&rev=1775473424&do=diff An example to run on the unite cluster. text/html 2026-06-13T11:53:46+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_cpp_gcc&rev=1781351626&do=diff Compiling C++ applications with the GCC Module This guide explains how to load the GCC (GNU Compiler Collection) module, compile a standard C++ program safely on a compute node, and submit it as a production job on the UNITE cluster. IMPORTANT: Compilation Policy text/html 2026-06-13T12:01:42+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_cpp_mpi&rev=1781352102&do=diff Compiling and Running C++ MPI Applications This guide explains how to load the Open MPI module, compile a distributed C++ program using the MPI wrapper, and submit an MPI job to the unite partition on the cluster. IMPORTANT: Compilation Policy WARNING: Do not run compilation commands directly on the Login Node! text/html 2026-06-13T12:06:35+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_python_cupy&rev=1781352395&do=diff Using CuPy for GPU-Accelerated Computing in Python This guide explains how to load the required Python and CUDA environment modules to use CuPy (a NumPy-compatible array library for GPU-accelerated computing) and submit jobs to the unite partition. text/html 2026-04-10T10:49:11+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_python_mpi_4_py&rev=1775818151&do=diff MPI4py Ping-Pong Example for Cluster This example shows a NumPy-based ping-pong benchmark using the mpi4py library on a cluster. Two MPI ranks exchange a NumPy array for several message sizes and measure round-trip time, one-way latency, and effective bandwidth. text/html 2026-06-13T12:09:30+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=unite_python_torch&rev=1781352570&do=diff Using PyTorch for Deep Learning This guide explains how to load the required Python and CUDA-accelerated PyTorch environment modules and safely submit deep learning jobs to the a40 partition. IMPORTANT: Execution & Environment Policy WARNING: Do not execute heavy deep learning training scripts on the Login Node! text/html 2025-04-07T21:36:33+00:00 Anonymous (anonymous@undisclosed.example.com) https://wiki.unite.uni-sofia.bg/doku.php?id=what_are_linux_modules&rev=1744061793&do=diff Module System Documentation The module system allows users to dynamically manage their shell environment on the cluster, especially for loading different versions of compilers, libraries, and applications without modifying environment variables manually.