Gerstein Lab Computing in HPC

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Current Hardware:

Compute

Grace 33 nodes, 672 cores purchased in 2015

Farnam 32 nodes, 256 cores purchased in 2010-2011 2 nodes, 64 cores purchased in 2012 (will be shutdown in 2019) 11 nodes, 308 cores purchased in 2018 1 large memory node (1.5TB RAM), 40 cores purchased in 2018 3 GPU nodes (2xNVIDIA K80), 60 cores purchased in 2016 2 GPU nodes (2xNVIDIA P100), 56 cores purchased in 2018 1 GPU node(4xNVIDIA TITAN V), 8 cores purchased in 2018 Total: 20 nodes, 536 cores

  • 32 nodes were shutdown in September 2018

Storage Loomis 3 TB default allocation 300 TB purchased in 2015 100 TB purchased in 2016 Total: 403 TB 93% used (27 TB free) Farnam 4 TB default allocation 90 TB purchased in 2014 276 TB purchased in 2017 757 TB purchased in 2018 Total: 1127 TB 83% used (193 TB free) *35 TB in /project on ysm-gpfs appears to be a free, undocumented loan?

� Actual CPU Usage - FY ‘19 Q1

Grace Shared 258,948 h (equivalent to ~120 cores at 100% utilization) Grace Dedicated 371,982 h (equivalent to ~175 cores at 100% utilization) Grace Scavenge 362,890 h (equivalent to ~165 cores at 100% utilization) Grace Total 993,820 h (~462 cores but own 672)

Farnam Shared 108,789 h (equivalent to ~50 cores at 100% utilization) Farnam Dedicated 262,642 h (equivalent to ~120 cores at 100% utilization) Farnam Dedicated - GPU 13,250 h Farnam Scavenge 29,527 h (equivalent to 13 cores at 100% utilization) Farnam Total 414,208 h (~183 cores but own 536)

Ruddle Total 1,486 h� Available Options (Rough Pricing and subject to change)

Standard Compute Node (28 cores, 192GB RAM) $12,000 GPU Node (28 cores, 192GB RAM, 1 V100) $22,000 Large Memory Node (28 cores, 768GB RAM) $19,000 Thinksystem D2 chassis (1 per 4 std nodes/2 GPU nodes) $2,000

Next Steps from 10/19/2018 Meeting

$55-75k available - Dave to contact Janine Martinez for details of grant(s) and any additional detail on funding available. Purchasing additional storage will be impossible in the time-frame due to the need to purchase in ~1PB increments. The nature of the work suggests that Farnam is the appropriate place to put new equipment. Prices for: Large Memory Node (28 cores, 768GB RAM) Large Memory Node (28 cores, 1536GB RAM) Standard Compute Node (28 cores, 192GB RAM) Standard Compute Node (28 cores, 384GB RAM)

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