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Bristen

Bristen is an Alps cluster that provides GPU accelerators and filesystems designed to meet the needs of machine learning workloads in the MLP.

Cluster Specification

Compute Nodes

Bristen consists of 32 A100 nodes NVIDIA A100 nodes. The number of nodes can change when nodes are added or removed from other clusters on Alps.

node type number of nodes total CPU sockets total GPUs
a100 32 32 128

Nodes are in the normal slurm partition.

Storage and file systems

Bristen uses the MLp filesystems and storage policies.

Getting started

Logging into Bristen

To connect to Bristen via SSH, first refer to the ssh guide.

~/.ssh/config

Add the following to your SSH configuration to enable you to directly connect to bristen using ssh bristen.

Host bristen
    HostName bristen.alps.cscs.ch
    ProxyJump ela
    User cscsusername
    IdentityFile ~/.ssh/cscs-key
    IdentitiesOnly yes

Software

Users are encouraged to use containers on Bristen.

Running Jobs on Bristen

SLURM

Bristen uses SLURM as the workload manager, which is used to launch and monitor distributed workloads, such as training runs.

There is currently a single slurm partition on the system:

  • the normal partition is for all production workloads.
    • nodes in this partition are not shared.
name nodes max nodes per job time limit
normal 32 - 24 hours

FirecREST

Bristen can also be accessed using FircREST at the https://api.cscs.ch/ml/firecrest/v1 API endpoint.

Scheduled Maintenance

Wednesday morning 8-12 CET is reserved for periodic updates, with services potentially unavailable during this timeframe. If the queues must be drained (redeployment of node images, rebooting of compute nodes, etc) then a Slurm reservation will be in place that will prevent jobs from running into the maintenance window.

Exceptional and non-disruptive updates may happen outside this time frame and will be announced to the users mailing list, and on the CSCS status page.

Change log

2025-03-05 container engine updated

now supports better containers that go faster. Users do not to change their workflow to take advantage of these updates.

Known issues