HPC UNITe

examples

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T12:24:00+00:00

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.

start - [Key Resources]

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T12:23:40+00:00

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

unite_python_torch - created

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T12:09:30+00:00

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!

unite_python_cupy - created

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T12:06:35+00:00

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.

unite_cpp_mpi - created

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T12:01:42+00:00

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!

unite_cpp_gcc - created

nshegunov (nshegunov@undisclosed.example.com) — 2026-06-13T11:53:46+00:00

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

unite_python_mpi_4_py

nshegunov (nshegunov@undisclosed.example.com) — 2026-04-10T10:49:11+00:00

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.

slurm_most_used_commands

nshegunov (nshegunov@undisclosed.example.com) — 2026-04-07T15:17:24+00:00

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)

unite_base_python - created

nshegunov (nshegunov@undisclosed.example.com) — 2026-04-06T11:03:44+00:00

An example to run on the unite cluster.

logo.png - created

nshegunov (nshegunov@undisclosed.example.com) — 2025-04-07T22:53:06+00:00

unite_image_128.png - created

nshegunov (nshegunov@undisclosed.example.com) — 2025-04-07T22:51:10+00:00

unite_image.png - created

nshegunov (nshegunov@undisclosed.example.com) — 2025-04-07T22:49:12+00:00

slurm.png

nshegunov (nshegunov@undisclosed.example.com) — 2025-04-07T16:42:54+00:00