CGRL (Vector/Rosalind) User Guide

Account Requests | Logging in | Transferring Data | Storage and Backup | Hardware Configuration | Scheduler Configuration | Low Priority Jobs | Job Script Examples | Software Configuration | Getting Help

This is the User Guide for Vector and Rosalind (Savio), computing clusters administered by the Computational Genomics Resource Laboratory (CGRL) and Berkeley Research Computing at the University of California, Berkeley.

Account Requests

You can request new accounts through the Computational Genomics Resource Laboratory (CGRL) by filling out this form and emailing it to

Logging in

Vector and Rosalind (Savio) use One Time Passwords (OTPs) for login authentication. For details, please see Logging into BRC.

Use SSH to log into:

Transferring Data

To transfer data to/from or between Vector and Rosalind (Savio), use the dedicated Data Transfer Node (DTN):

If you're using Globus to transfer files, the Globus endpoint is:  ucb#brc

For details about how to transfer files to and from the cluster, please see Transferring Data.

Storage and Backup

The following storage systems are available to CGRL users. For running jobs, compute nodes within a cluster can only directly access the storage as listed below. The DTN can be used to transfer data between the locations accessible to only one cluster or the other, as detailed in the previous section.

Name Cluster Location Quota Backup Allocation Description
Home Both /global/home/users/$USER 10 GB Yes Per User Home directory ($HOME) for permanent data
Scratch Vector /clusterfs/vector/scratch/$USER none No Per User Short-term, large-scale storage for computing
Group /clusterfs/vector/instrumentData/ 300 GB No Per Group Group-shared storage for computing
Scratch Rosalind (Savio) /global/scratch/$USER none No Per User Short-term, large-scale Lustre storage for very high-performance computing
Condo User /clusterfs/rosalind/users/$USER none No Per User Long-term, large-scale user storage
Condo Group /clusterfs/rosalind/groups/ none No Per Group Long-term, large-scale group-shared storage

Hardware Configuration

Vector and Rosalind are heterogeneous, with a mix of several different types of nodes. Please be aware of these various hardware configurations, along with their associated scheduler configurations, when specifying options for running your jobs.

Cluster Nodes Node List CPU Cores/Node Memory/Node Scheduler Allocation
Vector 11 n00[00-03].vector0 Intel Xeon X5650, 2.66 GHz 12 96 GB By Core
n0004.vector0 AMD Opteron 6176, 2.3 GHz 48 256 GB By Core
n00[05-08].vector0 Intel Xeon E5-2670, 2.60 GHz 16 128 GB By Core
n00[09]-n00[10].vector0 Intel Xeon X5650, 2.66 GHz 12 48 GB By Core
Rosalind (Savio1) 8

floating condo within:

n0[000-095].savio1, n0[100-167].savio1

Intel Xeon E5-2670 v2, 2.50 GHz 20 64 GB By Node
Rosalind (Savio2 HTC) 8

floating condo within:

n0[000-011].savio2, n0[215-222].savio2

Intel Xeon E5-2643 v3, 3.40 GHz 12 128 GB By Core

Scheduler Configuration

The clusters uses the SLURM scheduler to manage jobs. When submitting your jobs via sbatch or srun commands, use the following SLURM options:

NOTE: To check which QoS you are allowed to use, simply run "sacctmgr -p show associations user=$USER"

Partition Account Nodes Node List Node Feature QoS QoS Limit
vector   11 n00[00-03].vector0 vector,vector_c12,vector_m96


48 cores max per job

96 cores max per user

n0004.vector0 vector,vector_c48,vector_m256
n00[05-08].vector0 vector,vector_c16,vector_m128
n00[09]-n00[10].vector0 vector,vector_c12,vector_m48
savio co_rosalind 8

n0[000-095].savio1, n0[100-167].savio1

savio rosalind_savio_normal 8 nodes max per group
savio2_htc co_rosalind 8

n0[000-011].savio2, n0[215-222].savio2

savio2_htc rosalind_htc2_normal 8 nodes max per group
  • The settings for a job in Vector (Note: you don't need to set the "account"): --partition=vector --qos=vector_batch
  • The settings for a job in Rosalind (Savio1): --partition=savio --account=co_rosalind --qos=rosalind_savio_normal
  • The settings for a job in Rosalind (Savio2 HTC): --partition=savio2_htc --account=co_rosalind --qos=rosalind_htc2_normal

Low Priority Jobs

As a condo contributor, are entitled to use the extra resource that is available on the SAVIO cluster (across all partitions). The is done through a low priority QoS "savio_lowprio" and your account is automatically subscribed to this QoS during the account creation stage. You do not need to request for it explicitly. By using this QoS you are no longer limited by your condo size. What this means to users is that you will now have access to the broader compute resource which is limited by the size of partitions. However this QoS does not get a priority as high as the general QoSs, such as "savio_normal" and "savio_debug", or all the condo QoSs, and it is subject to preemption when all the other QoSs become busy. Thus it has two implications:

  1. When system is busy, any job that is submitted with this QoS will be pending and yield to other jobs with higher priorities.
  2. When system is busy and there are higher priority jobs pending, scheduler will preempt jobs that are running with this lower priority QoS. Preempted jobs can choose whether the job should be simply killed, or be automatically requeued after it's killed, at submission time. Please note that, since preemption could happen at any time, it would be very beneficial if your job is capable of checkpointing/restarting by itself, when you choose to requeue the job. Otherwise, you may need to verify data integrity manually before you want to run the job again.

Job Script Examples

For many examples of job script files that you can adapt and use for running your own jobs, please see Running Your Jobs.

Software Configuration

For details about how to find and access the software provided on the cluster, as well as on how to install your own, please see Accessing and Installing Software.

Getting Help

For inquiries or service requests regarding the cluster systems, please see BRC's Getting Help page or send email to

For questions about computational biology, new accounts, or installing new biology software, please contact the Computational Genomics Resource Laboratory (CGRL) by emailing and/or