Cluster Description
The XLence cluster is a high-performance computing facility for scientific research in structural bioinformatics, NGS data analysis, and proteomics.
Hardware Resources
Login Node
The cluster has 1 login node with redundant backup for high availability.
- Users connect to this node via SSH to access the cluster
- Used for job submission, data management, and light file operations
- In case of hardware failure, service can be restored within hours to a few days
⚠️ Important: The login node is for interactive work and job submission only. Computationally intensive tasks must be submitted to the compute nodes via the job scheduler.
Compute Nodes
General Purpose (5 nodes) - Partition: normal
- CPU: 10 cores per node
- RAM: 128 GB per node
- GPU: 2 GPUs per node
These nodes are optimized for structural bioinformatics, molecular dynamics, and GPU-accelerated workloads.
NGS Analysis (1 node) - Partition: ngs
- CPU: 18 cores
- RAM: 128 GB
- GPU: 1 GPU
This node is specialized for Next Generation Sequencing (NGS) analysis and memory-intensive workloads.
Shared Storage
All cluster nodes share access to centralized storage:
- General storage: 50 TB
- NGS data storage: 10 TB (reserved for sequencing data)
Your home directory and data are accessible from all nodes in the cluster.
Job Scheduling
The cluster uses Slurm as the workload manager for job submission and resource allocation.
Running Computations
All computationally intensive tasks must be submitted to the compute nodes using Slurm. This includes:
- Molecular dynamics simulations
- Structure predictions
- NGS data processing
- Large-scale data analysis
- Any long-running calculations
⚠️ Login Node Policy: Programs found running heavy computations on the login node will be terminated by the administrators without notice.
Submitting Jobs
To run your computations on the compute nodes, use the Slurm job scheduler.
For detailed instructions, see: Job Scheduling with Slurm
Available Partitions
normal: General-purpose computing (5 nodes, 10 CPUs + 2 GPUs per node)ngs: NGS data analysis (1 node, 18 CPUs + 1 GPU)
Support
For questions about cluster resources or job scheduling:
- Uliano Guerrini: uliano.guerrini@unimi.it
- Omar Ben Mariem: omar.benmariem@unimi.it
Last Updated: October 2025