McCleary

Beatrix McCleary Hamburg

McCleary is a shared-use resource for the Yale School of Medicine (YSM), life science researchers elsewhere on campus and projects related to the Yale Center for Genome Analysis. It consists of a variety of compute nodes networked over ethernet and mounts several shared filesystems.

McCleary is named for Beatrix McCleary Hamburg, who received her medical degree in 1948 and was the first female African American graduate of Yale School of Medicine. The McCleary HPC cluster is Yale's first direct-to-chip liquid cooled cluster, moving the YCRC and the Yale research computing community into a more environmentally friendly future.

Info

Farnam or Ruddle user? Farnam and Ruddle were both retired in summer 2023. See our explainer for what you need to know about using McCleary and how it differs from Farnam and Ruddle.

Access the Cluster

Once you have an account, the cluster can be accessed via ssh or through the Open OnDemand web portal.

System Status and Monitoring

For system status messages and the schedule for upcoming maintenance, please see the system status page. For a current node-level view of job activity, see the cluster monitor page (VPN only).

Partitions and Hardware

McCleary is made up of several kinds of compute nodes. We group them into (sometimes overlapping) Slurm partitions meant to serve different purposes. By combining the --partition and --constraint Slurm options you can more finely control what nodes your jobs can run on.

Info

YCGA sequence data user? To avoid being charged for your cpu usage for YCGA-related work, make sure to submit jobs to the ycga partition with -p ycga.

Job Submission Limits

You are limited to 4 interactive app instances (of any type) at one time. Additional instances will be rejected until you delete older open instances. For OnDemand jobs, closing the window does not terminate the interactive app job. To terminate the job, click the "Delete" button in your "My Interactive Apps" page in the web portal.
Job submissions are limited to 200 jobs per hour. See the Rate Limits section in the Common Job Failures page for more info.

Public Partitions

See each tab below for more information about the available common use partitions.

day

Use the day partition for most batch jobs. This is the default if you don't specify one with --partition.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the day partition are subject to the following limits:

Limit	Value
Maximum job time limit	`1-00:00:00`
Maximum CPUs per group	`512`
Maximum memory per group	`6000G`
Maximum CPUs per user	`256`
Maximum memory per user	`3000G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
26	8358	64	983	icelake, avx512, 8358, nogpu, bigtmp, common
14	6240	36	180	cascadelake, avx512, 6240, nogpu, bigtmp, standard, common

devel

Use the devel partition to jobs with which you need ongoing interaction. For example, exploratory analyses or debugging compilation.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the devel partition are subject to the following limits:

Limit	Value
Maximum job time limit	`06:00:00`
Maximum CPUs per user	`4`
Maximum memory per user	`32G`
Maximum submitted jobs per user	`1`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
10	E5-2660_v4	28	227	broadwell, E5-2660_v4, nogpu, standard, oldest, common

week

Use the week partition for jobs that need a longer runtime than day allows.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the week partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`
Maximum CPUs per group	`192`
Maximum memory per group	`2949G`
Maximum CPUs per user	`192`
Maximum memory per user	`2949G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
14	8358	64	983	icelake, avx512, 8358, nogpu, bigtmp, common
2	6240	36	180	cascadelake, avx512, 6240, nogpu, bigtmp, standard, common

long

Use the long partition for jobs that need a longer runtime than week allows.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=7-00:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the long partition are subject to the following limits:

Limit	Value
Maximum job time limit	`28-00:00:00`
Maximum CPUs per group	`36`
Maximum CPUs per user	`36`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
3	6240	36	180	cascadelake, avx512, 6240, nogpu, bigtmp, standard, common

transfer

Use the transfer partition to stage data for your jobs to and from cluster storage.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the transfer partition are subject to the following limits:

Limit	Value
Maximum job time limit	`1-00:00:00`
Maximum CPUs per user	`4`
Maximum running jobs per user	`4`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	72	8	227	milan, 72F3, nogpu, standard, common

gpu

Use the gpu partition for jobs that make use of GPUs. You must request GPUs explicitly with the --gpus option in order to use them. For example, --gpus=gtx1080ti:2 would request 2 GeForce GTX 1080Ti GPUs per node.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the gpu partition are subject to the following limits:

Limit	Value
Maximum job time limit	`2-00:00:00`
Maximum GPUs per group	`24`
Maximum GPUs per user	`12`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
10	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common
1	8358	64	983	a100	4	80	icelake, avx512, 8358, doubleprecision, bigtmp, common, a100-80g
1	8358	64	983	a100	4	80	icelake, avx512, 8358, gpu, bigtmp, common, doubleprecision, a100-80g
4	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, common, bigtmp, rtx5000
3	5222	8	163	rtx3090	4	24	cascadelake, avx512, 5222, doubleprecision, common, rtx3090
5	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, oldest, common, gtx1080ti
9	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, common, gtx1080ti

gpu_devel

Use the gpu_devel partition to debug jobs that make use of GPUs, or to develop GPU-enabled code.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the gpu_devel partition are subject to the following limits:

Limit	Value
Maximum job time limit	`06:00:00`
Maximum CPUs per user	`10`
Maximum GPUs per user	`2`
Maximum submitted jobs per user	`2`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
3	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common
2	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, common, bigtmp, rtx5000
1	5222	8	163	rtx3090	4	24	cascadelake, avx512, 5222, doubleprecision, common, rtx3090
1	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, common, bigtmp, a100
4	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, oldest, common, gtx1080ti

bigmem

Use the bigmem partition for jobs that have memory requirements other partitions can't handle.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the bigmem partition are subject to the following limits:

Limit	Value
Maximum job time limit	`1-00:00:00`
Maximum CPUs per user	`32`
Maximum memory per user	`3960G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
4	6346	32	3960	icelake, avx512, 6346, nogpu, bigtmp, common
3	6240	36	1486	cascadelake, avx512, 6240, nogpu, pi, bigtmp
2	6234	16	1486	cascadelake, avx512, 6234, nogpu, common, bigtmp

scavenge

Use the scavenge partition to run preemptable jobs on more resources than normally allowed. For more information about scavenge, see the Scavenge documentation.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the scavenge partition are subject to the following limits:

Limit	Value
Maximum job time limit	`1-00:00:00`
Maximum CPUs per user	`1000`
Maximum memory per user	`20000G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
48	8362	64	479				icelake, avx512, 8362, nogpu, standard, pi
1	8358	64	1008	a5000	8	24	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a5000
20	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common
4	6346	32	3960				icelake, avx512, 6346, nogpu, bigtmp, common
40	8358	64	983				icelake, avx512, 8358, nogpu, bigtmp, common
1	8358	64	983	a100	4	80	icelake, avx512, 8358, doubleprecision, bigtmp, common, a100-80g
1	8358	64	983	a100	4	40	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a100
1	8358	64	983	a100	4	80	icelake, avx512, 8358, gpu, bigtmp, common, doubleprecision, a100-80g
4	6346	32	1991				icelake, avx512, 6346, nogpu, pi
4	6326	32	479	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, pi
1	8358	64	1008	l40s	8	48	icelake, avx512, 8358, doubleprecision, pi, bigtmp, l40s,
1	6326	32	984	a100	4	40	icelake, avx512, 6326, doubleprecision, pi, a100
42	6240	36	180				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
9	6240	36	163				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
4	6240	36	730				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
4	6240	36	352				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
19	6240	36	180				cascadelake, avx512, 6240, nogpu, bigtmp, standard, common
2	6240	36	167				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
6	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, common, bigtmp, rtx5000
6	6240	36	1486				cascadelake, avx512, 6240, nogpu, pi, bigtmp
10	8268	48	352				cascadelake, avx512, 8268, nogpu, bigtmp, pi
1	6248r	48	352				cascadelake, avx512, 6248r, nogpu, pi, bigtmp
8	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, pi, bigtmp, rtx5000
1	6242	32	981	rtx8000	2	48	cascadelake, avx512, 6242, doubleprecision, pi, bigtmp, rtx8000
2	6234	16	1486				cascadelake, avx512, 6234, nogpu, common, bigtmp
1	6240	36	352	v100	4	16	cascadelake, avx512, 6240, pi, v100
4	5222	8	163	rtx3090	4	24	cascadelake, avx512, 5222, doubleprecision, common, rtx3090
1	6240	36	352	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
2	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100
1	6240	36	730	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100
1	6240	36	163	rtx3090	4	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
1	6240	36	163	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
2	6240	36	163	rtx2080ti	4	11	cascadelake, avx512, 6240, singleprecision, pi, bigtmp, rtx2080ti
1	6226r	32	163	rtx3090	4	24	cascadelake, avx512, 6226r, doubleprecision, pi, rtx3090
1	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, common, bigtmp, a100
1	6132	28	730				skylake, avx512, 6132, nogpu, standard, bigtmp, pi
2	6132	28	163				skylake, avx512, 6132, nogpu, standard, bigtmp, pi
2	5122	8	163	rtx2080	4	8	skylake, avx512, 5122, singleprecision, pi, rtx2080
39	E5-2680_v4	28	227				broadwell, E5-2680_v4, nogpu, standard, oldest, pi
1	E7-4820_v4	40	1486				broadwell, E7-4820_v4, nogpu, pi
9	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, oldest, common, gtx1080ti
3	E5-2660_v4	28	227	p100	2	16	broadwell, E5-2660_v4, doubleprecision, pi, p100
11	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, common, gtx1080ti
1	E5-2637_v4	8	101	titanv	4	12	broadwell, E5-2637_v4, doubleprecision, pi, bigtmp, titanv

scavenge_gpu

Use the scavenge_gpu partition to run preemptable jobs on more GPU resources than normally allowed. For more information about scavenge, see the Scavenge documentation.

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the scavenge_gpu partition are subject to the following limits:

Limit	Value
Maximum job time limit	`1-00:00:00`
Maximum GPUs per group	`100`
Maximum GPUs per user	`64`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	8358	64	1008	a5000	8	24	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a5000
20	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common
1	8358	64	983	a100	4	80	icelake, avx512, 8358, doubleprecision, bigtmp, common, a100-80g
1	8358	64	983	a100	4	40	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a100
1	8358	64	983	a100	4	80	icelake, avx512, 8358, gpu, bigtmp, common, doubleprecision, a100-80g
4	6326	32	479	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, pi
1	8358	64	1008	l40s	8	48	icelake, avx512, 8358, doubleprecision, pi, bigtmp, l40s,
1	6326	32	984	a100	4	40	icelake, avx512, 6326, doubleprecision, pi, a100
6	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, common, bigtmp, rtx5000
8	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, pi, bigtmp, rtx5000
1	6242	32	981	rtx8000	2	48	cascadelake, avx512, 6242, doubleprecision, pi, bigtmp, rtx8000
1	6240	36	352	v100	4	16	cascadelake, avx512, 6240, pi, v100
4	5222	8	163	rtx3090	4	24	cascadelake, avx512, 5222, doubleprecision, common, rtx3090
1	6240	36	352	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
2	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100
1	6240	36	730	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100
1	6240	36	163	rtx3090	4	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
1	6240	36	163	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
2	6240	36	163	rtx2080ti	4	11	cascadelake, avx512, 6240, singleprecision, pi, bigtmp, rtx2080ti
1	6226r	32	163	rtx3090	4	24	cascadelake, avx512, 6226r, doubleprecision, pi, rtx3090
1	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, common, bigtmp, a100
2	5122	8	163	rtx2080	4	8	skylake, avx512, 5122, singleprecision, pi, rtx2080
9	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, oldest, common, gtx1080ti
3	E5-2660_v4	28	227	p100	2	16	broadwell, E5-2660_v4, doubleprecision, pi, p100
11	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, common, gtx1080ti
1	E5-2637_v4	8	101	titanv	4	12	broadwell, E5-2637_v4, doubleprecision, pi, bigtmp, titanv

Private Partitions

With few exceptions, jobs submitted to private partitions are not considered when calculating your group's Fairshare. Your group can purchase additional hardware for private use, which we will make available as a pi_groupname partition. These nodes are purchased by you, but supported and administered by us. After vendor support expires, we retire compute nodes. Compute nodes can range from $10K to upwards of $50K depending on your requirements. If you are interested in purchasing nodes for your group, please contact us.

PI Partitions (click to expand)

pi_breaker

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_breaker partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
23	E5-2680_v4	28	227	broadwell, E5-2680_v4, nogpu, standard, oldest, pi

pi_bunick

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_bunick partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100

pi_butterwick

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_butterwick partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	352	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100

pi_chenlab

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_chenlab partition are subject to the following limits:

Limit	Value
Maximum job time limit	`14-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	8268	48	352	cascadelake, avx512, 8268, nogpu, bigtmp, pi

pi_cryo_realtime

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=1-00:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_cryo_realtime partition are subject to the following limits:

Limit	Value
Maximum job time limit	`14-00:00:00`
Maximum GPUs per user	`12`
Maximum running jobs per user	`2`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common

pi_cryoem

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=1-00:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_cryoem partition are subject to the following limits:

Limit	Value
Maximum job time limit	`4-00:00:00`
Maximum CPUs per user	`32`
Maximum GPUs per user	`12`
Maximum running jobs per user	`2`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
6	6326	32	206	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, common

pi_deng

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_deng partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	E5-2660_v4	28	227	p100	2	16	broadwell, E5-2660_v4, doubleprecision, pi, p100

pi_dewan

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_dewan partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	163	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_dijk

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_dijk partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	352	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090

pi_dunn

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_dunn partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	6240	36	163	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_edwards

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_edwards partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	6240	36	163	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_falcone

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_falcone partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	163				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
1	6240	36	1486				cascadelake, avx512, 6240, nogpu, pi, bigtmp
1	6240	36	352	v100	4	16	cascadelake, avx512, 6240, pi, v100

pi_galvani

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_galvani partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
7	8268	48	352	cascadelake, avx512, 8268, nogpu, bigtmp, pi

pi_gerstein

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_gerstein partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	6132	28	730	skylake, avx512, 6132, nogpu, standard, bigtmp, pi
2	6132	28	163	skylake, avx512, 6132, nogpu, standard, bigtmp, pi
11	E5-2680_v4	28	227	broadwell, E5-2680_v4, nogpu, standard, oldest, pi
1	E7-4820_v4	40	1486	broadwell, E7-4820_v4, nogpu, pi

pi_gerstein_gpu

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_gerstein_gpu partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	8358	64	983	a100	4	40	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a100
1	6240	36	163	rtx3090	4	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
1	6240	36	163	rtx3090	8	24	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, rtx3090
2	E5-2660_v4	28	227	p100	2	16	broadwell, E5-2660_v4, doubleprecision, pi, p100
1	E5-2637_v4	8	101	titanv	4	12	broadwell, E5-2637_v4, doubleprecision, pi, bigtmp, titanv

pi_gruen

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_gruen partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	E5-2680_v4	28	227	broadwell, E5-2680_v4, nogpu, standard, oldest, pi

pi_hall

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_hall partition are subject to the following limits:

Limit	Value
Maximum job time limit	`28-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
2	6326	32	984	a100	4	40	icelake, avx512, 6326, doubleprecision, pi, a100
40	6240	36	180				cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_hall_bigmem

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_hall_bigmem partition are subject to the following limits:

Limit	Value
Maximum job time limit	`28-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	1486	cascadelake, avx512, 6240, nogpu, pi, bigtmp

pi_jadi

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_jadi partition are subject to the following limits:

Limit	Value
Maximum job time limit	`365-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	E5-2680_v4	28	227	broadwell, E5-2680_v4, nogpu, standard, oldest, pi

pi_jetz

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_jetz partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	8358	64	1991	icelake, avx512, 8358, nogpu, bigtmp, pi
4	6240	36	730	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi
4	6240	36	352	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_kleinstein

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_kleinstein partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	163	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_krishnaswamy

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_krishnaswamy partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	730	a100	4	40	cascadelake, avx512, 6240, doubleprecision, pi, bigtmp, a100

pi_ma

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_ma partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	8268	48	352	cascadelake, avx512, 8268, nogpu, bigtmp, pi

pi_medzhitov

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_medzhitov partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	167	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_miranker

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_miranker partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	6248r	48	352	cascadelake, avx512, 6248r, nogpu, pi, bigtmp

pi_ohern

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_ohern partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
4	8358	64	984	icelake, avx512, 8358, nogpu, bigtmp, pi
2	E5-2680_v4	28	227	broadwell, E5-2680_v4, nogpu, standard, oldest, pi

pi_reinisch

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_reinisch partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
2	5122	8	163	rtx2080	4	8	skylake, avx512, 5122, singleprecision, pi, rtx2080

pi_sestan

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_sestan partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	8358	64	1991	icelake, avx512, 8358, nogpu, bigtmp, pi

pi_sigworth

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_sigworth partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	163	rtx2080ti	4	11	cascadelake, avx512, 6240, singleprecision, pi, bigtmp, rtx2080ti

pi_sindelar

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_sindelar partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	6240	36	163	rtx2080ti	4	11	cascadelake, avx512, 6240, singleprecision, pi, bigtmp, rtx2080ti
1	E5-2637_v4	8	101	gtx1080ti	4	11	broadwell, E5-2637_v4, singleprecision, common, gtx1080ti

pi_tomography

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=1-00:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_tomography partition are subject to the following limits:

Limit	Value
Maximum job time limit	`4-00:00:00`
Maximum CPUs per user	`32`
Maximum GPUs per user	`24`
Maximum running jobs per user	`2`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
8	5222	8	163	rtx5000	4	16	cascadelake, avx512, 5222, doubleprecision, pi, bigtmp, rtx5000
1	6242	32	981	rtx8000	2	48	cascadelake, avx512, 6242, doubleprecision, pi, bigtmp, rtx8000

pi_townsend

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_townsend partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	180	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

pi_tsang

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_tsang partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
4	8358	64	983	icelake, avx512, 8358, nogpu, bigtmp, pi

pi_ya-chi_ho

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_ya-chi_ho partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
1	8268	48	352	cascadelake, avx512, 8268, nogpu, bigtmp, pi

pi_yong_xiong

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

GPU jobs need GPUs!

Jobs submitted to this partition do not request a GPU by default. You must request one with the --gpus option.

Job Limits

Jobs submitted to the pi_yong_xiong partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	GPU Type	GPUs/Node	vRAM/GPU (GB)	Node Features
1	8358	64	1008	a5000	8	24	icelake, avx512, 8358, doubleprecision, bigtmp, pi, a5000
4	6326	32	479	a5000	4	24	icelake, avx512, 6326, doubleprecision, a5000, pi
1	8358	64	1008	l40s	8	48	icelake, avx512, 8358, doubleprecision, pi, bigtmp, l40s,
1	6226r	32	163	rtx3090	4	24	cascadelake, avx512, 6226r, doubleprecision, pi, rtx3090

pi_zhao

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the pi_zhao partition are subject to the following limits:

Limit	Value
Maximum job time limit	`7-00:00:00`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	6240	36	163	cascadelake, avx512, 6240, nogpu, bigtmp, standard, pi

YCGA Partitions

The following partitions are intended for projects related to the Yale Center for Genome Analysis. Please do not use these partitions for other proejcts. Access is granted on a group basis. If you need access to these partitions, please contact us to get approved and added.

YCGA Partitions (click to expand)

ycga

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the ycga partition are subject to the following limits:

Limit	Value
Maximum job time limit	`2-00:00:00`
Maximum CPUs per group	`512`
Maximum memory per group	`3934G`
Maximum CPUs per user	`256`
Maximum memory per user	`1916G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
40	8362	64	479	icelake, avx512, 8362, nogpu, standard, pi

ycga_admins

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
2	8362	64	479	icelake, avx512, 8362, nogpu, standard, pi

ycga_bigmem

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the ycga_bigmem partition are subject to the following limits:

Limit	Value
Maximum job time limit	`4-00:00:00`
Maximum CPUs per user	`64`
Maximum memory per user	`1991G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
4	6346	32	1991	icelake, avx512, 6346, nogpu, pi

ycga_long

Request Defaults

Unless specified, your jobs will run with the following options to salloc and sbatch options for this partition.

--time=01:00:00 --nodes=1 --ntasks=1 --cpus-per-task=1 --mem-per-cpu=5120

Job Limits

Jobs submitted to the ycga_long partition are subject to the following limits:

Limit	Value
Maximum job time limit	`14-00:00:00`
Maximum CPUs per group	`64`
Maximum memory per group	`479G`
Maximum CPUs per user	`32`
Maximum memory per user	`239G`

Available Compute Nodes

Requests for --cpus-per-task and --mem can't exceed what is available on a single compute node.

Count	CPU Type	CPUs/Node	Memory/Node (GiB)	Node Features
6	8362	64	479	icelake, avx512, 8362, nogpu, standard, pi

Public Datasets

We host datasets of general interest in a loosely organized directory tree in /gpfs/gibbs/data:

├── alphafold-2.3
├── alphafold-2.2 (deprecated)
├── alphafold-2.0 (deprecated)
├── annovar
│   └── humandb
├── cryoem
├── db
│   ├── annovar
│   ├── blast
│   ├── busco
│   └── Pfam
└── genomes
    ├── 1000Genomes
    ├── 10xgenomics
    ├── Aedes_aegypti
    ├── Bos_taurus
    ├── Chelonoidis_nigra
    ├── Danio_rerio
    ├── Drosophila_melanogaster
    ├── Gallus_gallus
    ├── hisat2
    ├── Homo_sapiens
    ├── Macaca_mulatta
    ├── Mus_musculus
    ├── Monodelphis_domestica
    ├── PhiX
    └── Saccharomyces_cerevisiae
    └── tmp
└── hisat2
    └── mouse

If you would like us to host a dataset or questions about what is currently available, please contact us.

YCGA Data

Data associated with YCGA projects and sequenceers are located on the YCGA storage system, accessible at /gpfs/ycga.

For more information on accessing this data as well as sequencing data retention polices, see the YCGA Data documentation.

Storage

McCleary has access to a number of GPFS filesystems. /vast/palmer is McCleary's primary filesystem where Home and Scratch60 directories are located. Every group on McCleary also has access to a Project allocation on the Gibbs filesytem on /gpfs/gibbs. For more details on the different storage spaces, see our Cluster Storage documentation.

You can check your current storage usage & limits by running the getquota command. Your ~/project and ~/palmer_scratch directories are shortcuts. Get a list of the absolute paths to your directories with the mydirectories command. If you want to share data in your Project or Scratch directory, see the permissions page.

For information on data recovery, see the Backups and Snapshots documentation.

Warning

Files stored in palmer_scratch are purged if they are older than 60 days. You will receive an email alert one week before they are deleted. Artificial extension of scratch file expiration is forbidden without explicit approval from the YCRC. Please purchase storage if you need additional longer term storage.

Partition	Root Directory	Storage	File Count	Backups	Snapshots
home	`/vast/palmer/home.mccleary`	125GiB/user	500,000	Yes	>=2 days
project	`/gpfs/gibbs/project`	1TiB/group, increase to 4TiB on request	5,000,000	No	>=2 days
scratch	`/vast/palmer/scratch`	10TiB/group	15,000,000	No	No

Last update: February 7, 2024