High-Performance Genomics Computing Systems Access
Computing resources for investigators in the Computational Biology Center and other SKI investigators who need access to significant Linux compute and storage resource specifically in association with the Center for Molecular Oncology or the Bioinformatics Core. These systems support initial processing of sequence data generated by IGO.
There are two computational clusters that support Bioinformatics operations. These two systems are known as ‘lux’ and ‘luna’. Lux currently functions primarily to support raw data processing of genomic data. Luna is the main computational system used within the Bioinformatics Core and by members of the Center of Molecular Oncology. As members of these labs these systems provide access to shared research data, applications and packages that support various pipelines for bioinformatics analysis.
- luna.cbio.mskcc.org (login host): HP DL380 Gen8, one Xeon E5–2650 v2 @ 2.60GHz, 64gb RAM
- 62 Compute nodes, 1024 cores total (2048 threads total)
- u01-u36: 36 HP ProLiant DL160 Gen9, dual 8-core Xeon E5–2640 v3 @ 2.60GHz , 256gb RAM per node
- s01-s24: 24 HP ProLiant DL160 Gen8, dual 8 core Xeon E5–2660 0 @ 2.20GHz , 384gb RAM per node
- t01-t02: 2 HP ProLiant DL580 Gen8, quad 8 core Xeon E7–4820 v2 @ 2.00GHz, 1.5tb RAM per node
- nodes have 800GB at /scratch/$USER
- solisi (isilon array) 4.4P PBytes (NL and X)
Luna is the head node for submitting jobs to the cluster
- /home — 100GB limit – for scripts only, no huge files, frequent mirrored backup
- /ifs/work —Fast disk, less space – for ongoing projects, ~10TB per lab
- /ifs/res — Slow disk, more space – for long-term storage of sequence data
- /ifs/archive — read only – GCL fastqs
- /opt/common — binaries and popular third-party programs
- /common/data — data, genome assemblies, GTFs, etc.