HPC Computing

The High-Performance Computing (HPC) group maintains a wide range of computational resources to fit your needs. All are Linux compute clusters, each attached to large storage platforms to support intensive data research.

Each cluster is configured to meet the needs of its main users, with various operating CPUs and GPUs. Currently, Lilac is the primary cluster designated for new HPC research requests. Requests for alternate clusters are reviewed on a case-by-case basis depending on the research requirements and cluster availability.

For access to HPC systems, visit the Getting Started page. To request an account, click here.
The technical specifications for each cluster can be found here: https://rts.mskcc.org/available-computing-system
To learn more about HPC services visit: https://rts.mskcc.org/high-performance-computing
To request HPC services visit: https://rts.mskcc.org/service

Research HPC

The MSK and Sloan Kettering Institute research community has access to three HPC systems. Each has distinct differences that provide solutions to a unique set of computational requirements. Most users will operate on Lilac.

The Lilac HPC cluster runs an LSF queueing system, which supports a variety of job submission techniques.

Lilac’s Technical Specifications

Compute

Primary login host: lilac.mskcc.org
91 compute nodes with GPUs. (GPUs on nodes vary): name quantity model CPU cores RAM GPUs NVMe net ld01-07 7 NVidia DGX-1 2*Xeon E5-2698 v4 40 512 8*Tesla V100 – 10 lg01-06 6 Exxact TXR231-1000R 2*Xeon E5-2699 v3 36 512 4*GeForce GTX TitanX – 10 lp01-35 35 Exxact TXR231-1000R 2*Xeon E5-2680 v3 24 512 4*GeForce GTX 1080Ti – 10 ls01-18 18 Supermicro SYS-7048GR-TR 2*Xeon E5-2697 v4 36 512 4*GeForce GTX 1080 2T 10 lt01-08 8 Supermicro SYS-7048GR-TR 2*Xeon E5-2697 v4 36 512 4*GeForce GTX 1080Ti 2T 10 lt09-22 14 Supermicro SYS-7048GR-TR 2*Xeon E5-2697 v4 36 512 4*GeForce GTX 1080Ti 2T 25 lv01 1 Supermicro SYS-7048GR-TR 2*Xeon E5-2697 v4 36 512 4*Tesla V100 2T 25

Storage

/data (compute): 2.6PB, GPFS v5.1, 4 * NSD Servers, 4 * NetApp E5760, connected at 16*25gbps
/warm (non-compute): 1.5PB, GPFS v5.1, 4 * NSD Servers, 4 * Dell MD3460, connected at 4*10gbps

Network

Arista 7328x 100gbps switch

Bioinformatics HPC

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 resources specifically in association with the Center for Molecular Oncology or the Bioinformatics Core. These systems support processing of sequence data generated by IGO.

Three computational clusters support Bioinformatics operations. These systems are known as Lux, Luna, and Juno. Lux primarily supports processing of raw genomic data. Juno is currently the main computational system used within the Bioinformatics Core and by members of the Center of Molecular Oncology. For members of these labs; these systems provide access to shared research data, applications, and packages to support bioinformatics analysis pipelines.

The Juno cluster is the successor to the Luna cluster. Juno has the same Isilon storage available as Luna. However, Juno’s CentOS 7 nodes have an additional 5.1PB GPFS filesystem. Most users have migrated to Juno. Luna is in the process of being retired.

Click here for a live view of system activity on Juno.

Luna and Juno’s Technical Specifications

Compute

CentOS 7 cluster login host: juno.mskcc.org
118 compute nodes:

name	qty	model	CPU	#cores	RAM	#GPU	NVMe	GE	owner
ja01-ja10	10	Supermicro SYS-6018R-TDW	2 Xeon(R) CPU E5-2697 v4 @ 2.30GHz	36	512	–	2x1T	25	CMO
jb01-jb24	24	Supermicro SYS-6018R-TDW	2 Xeon(R) CPU E5-2697 v4 @ 2.30GHz	36	512	–	2T	25	Shah
jc01-jc02	2	Supermicro SYS-7048GR-TR	2 Xeon(R) CPU E5-2697 v4 @ 2.30GHz	36	512	4 GeForce RTX 2080 Blower	2T	25	Shah
jd01-jd04	4	Supermicro SYS-6018R-TDW	2 Xeon(R) CPU E5-2697 v4 @ 2.30GHz	36	512	–	2T	25	Papaemm
ju01-u36	36	HPE DL160G9	2 Xeon(R) CPU E5-2640 v3 @ 2.60GHz	16	256	–	–	10	CMO
jv01-jv04	4	HPE DL160G9	2 Xeon(R) CPU E5-2640 v3 @ 2.60GHz	16	256	–	–	10	Offit
jw02	1	HPE DL160G9	2 Xeon(R) CPU E5-2640 v4 @ 2.40GHz	16	256	–	–	10	CMO
jx01-jx34	34	Supermicro SYS-6018R-TDW	2 Xeon(R) CPU E5-2640 v4 @ 2.40GHz	20	256	–	2x2T	25	CMO
jy01-y03	3	Supermicro SYS-6018R-TDW	2 Xeon(R) CPU E5-2640 v4 @ 2.40GHz	20	512	–	2x2T	25	CMO

Compute

CentOS 6 cluster login host: luna.mskcc.org
Additional compute servers: selene.mskcc.org, rhea.mskcc.org, phos.mskcc.org, & pluto.mskcc.org
25 compute nodes:

name	qty	model	CPU	#cores	RAM	#GPU	NVMe	GE	owner
s01-s21	21	HPE DL160G8	2 Xeon(R) CPU E5-2660 0 @ 2.20GHz	16	384	–	–	10	CMO
t01-t02	2	HPE DL580G8	4 Xeon(R) CPU E7-4820 v2 @ 2.00GHz	32	1536	–	–	10	CMO
w01	1	HPE DL160G9	2 Xeon(R) CPU E5-2640 v4 @ 2.40GHz	16	256	–	–	10	CMO

Storage

/juno (CentOS 7 only): 2.6PB, GPFS v5.1, 4*NSD servers, 4*NetApp E5760, connected at 16*25GE

/warm (non-compute): 1.5PB, GPFS v5.1, 4 * NSD Servers, 4 * Dell MD3460, connected at 4*10gbps

3.5PB, 28-node Isilon cluster. connected at 28*10GE

/home — 100GB limit – for scripts only, no huge files, frequent mirrored backup
/ifs/work — fast disk, less space, for active projects
/ifs/res — slower disk, more space, for long-term storage of sequence data
/ifs/archive — read-only – GCL FASTQ
/opt/common — popular third-party programs
/common/data — data, genome assemblies, GTFs, etc.

Network

Arista 7328x 100gbps switch

Clinical HPC The Department of Molecular Pathology Scientists here analyze tumor DNA and shed light on the complex molecular changes that occur in cancer. These advances are enabling doctors to improve diagnoses and develop personalized treatments. There are extraordinary opportunities to provide insights into what causes cancer to form or progress and to suggest strategies for blocking it. To support this analytical process, a computational infrastructure has been put in place that provides the storage, compute, and networking requirements to effectively process genomic data to completion for use by doctors and geneticists. This system is known as Phoenix, and it is an isolated compute cluster dedicated to clinical sequence processing. Access to this system requires a direct association with the Department of Molecular Pathology. For more information, contact us.

Phoenix’s Technical Specifications Clinical Cluster Architecture The Phoenix cluster consists of ten compute nodes, two head nodes, a three-node Islion storage cluster, a pair of Arista 7050 10GbE switches, and a serial console switch. The equipment is installed in cabinet 16JJ and 16KK in the New Jersey data center. The compute nodes are eight HP ProLiant DL160 Gen8s with 128 GB of memory “thin” nodes and two HP ProLiant DL580 G7s with 1 TB of memory “fat” nodes. In total, the cluster can produce 208 cores of compute power. The head nodes are two HP ProLiant DL380s with 128 GB of memory. The cluster has an internal 85 TB Isilon storage cluster for sharing data and software among compute nodes. The cluster compute nodes are connected to a pair of private 10 GbE switched networks that do not physically connect to any MSK network. The only nodes that connect to the MSK LAN are the cluster head nodes, the Isilon storage cluster, and the LIMS servers. The cluster’s pair of private switches are Arista 7050 10 GbE units, which are connected via a trunked connection of 80 GbE links. Cluster Storage

approximately 600 TB of Isilon storage (mirrored in two data centers)

Cluster Head Node: Phoenix-h1, phoenix-h2 The cluster head nodes are a pair of HP ProLiant DL380 Gen8 servers with 16 cores and 128 GB of memory each. They act as the qmaster for the cluster’s SGE, DNS server (master and slave), PXE Boot server, Puppet master, Foreman server, and DHCP server. AD authentication is activated via CentrifyDC software on the servers. Users in the AD groups bicadmin, dmppower, dmpseq, and dmpalys are allowed to log on. Only users in the AD groups bicadmin and dmppower are allowed to submit jobs via qsub common. Cluster Compute Thin Node: p01 to p08 Currently, there are eight DL160 Gen8 servers with 2x Intel Xeon E5-2670 CPUs (2.60 Ghz, eight cores, 20 MB, 115 W); 128 GB of memory; and a 300 GB (15 k rpm), 1 TB (7.2 k rpm) HD, and 10 Gb two-port 530FLR-SFP adapter. The server’s eth0 and eth1 are bonded by a 10 Gb link to the private network 10.1.0.0/24 and a single 1 Gb link (iLO) to the management network 172.22.242.0/25. Cluster Compute Fat Node: pa1, pa2 There are two DL580 G7 servers with 4x Intel Xeon E7-4870 CPUs (2.40 Ghz, ten cores, 30 MB, 130 W); 1 TB of memory; and a 300 GB (15 k rpm), 7 TB (7.2 k rpm) HD, and 1x 10 Gb dual port NC524 SFP module. The server’s eth0 and eth1 are bonded by a 10 Gb link to the private network 10.1.0.0/24 and a single 1 Gb link (iLO) to the management network 172.22.242.0/25.