Introduction to MARCC, the Maryland Advanced Research

Maryland
Advanced
Research
Computing
Center
Jaime E. Combariza Associate Research Professor Department of Chemistry Director MARCC Johns Hopkins University
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Industrial partners
[email protected]
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Big Data Opportuni:es
Advance Research
Leadership in Big Data
Retain/ACract Top Researchers
Secure Federal Funding
Partnerships
[email protected], [email protected]@on and [email protected]
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Loca:on/Bayview
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HPC data center?
Investment
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Science DMZ @ JHU
40Gb/s
Latrobe
PHA
100Gb/s
Clark
CRB
Malone
CIDR
CIDR
HoRNET
PH
NSF Campus Cyberinfrastructure
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HPC Resources & Model
•Approx 19,000 cores and 20 Petabytes KSAS:10 M Quarter storage WSE: 10M/Q SOM: 6 M/Q PH: 6 M/Q UMCP: 6 M/Q Reserve: 1.8 M/Q
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Hardware
Count
648
[email protected]
Compute nodes, 128GB RAM, 24 cores, 2.5GHz Haswell processors
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Large memory nodes, 1024 GB RAM, 48 cores
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GPU nodes, 2 Nvidia K80 GPUs/node, 24 CPU cores
2 PBytes
14 Pbytes
High Performance File System (Lustre)
ZFS File System
RPeak ~900 TFLOPs, RMax=562/610 TFLOPs (top 5, US [email protected])
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Governance
•Facility Governing Board (3 members JHU, 3 members UMCP) Mission and Direc:on •Scien:fic Management CommiCee (4 faculty members from JHU and UMCP). ★Policies ★Alloca:on models ★Goals Jointly operated and used by JHU and UMCP 9
Training and user support
•HPC resources •local •Xsede •Introduc:on to Linux •Effec:ve u:liza:on of HPC resources •Scrip:ng and task automa:on •2D-­‐Data Visualiza:on •Data Management •Parallel Programming (MPI, OpenMP) •Scien:fic domain (Chemistry)
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Timeline Done
•Data center: End of November Done
•Network install “mid December” •Hardware deployment Feb 1 -­‐ end March, 2015 •Training April 2015 •Produc:on system: On-­‐going
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“Condo” Model
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Co-­‐[email protected]
•Space u:liza:on •Proper cyberinfrastructure •Precise guidelines and policies •Cluster/server hos:ng and management •Cluster/server hos:ng •Data with restric:ons
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MARCC:
•State of the art HPC facility (current and future needs) •Develop an HPC ecosystem: Foster collabora:on and advance research agendas ✴Develop or improve tools for effec:ve data analysis ✴Resource to aCract and retain top researchers ✴Facility to properly house HPC resources with different requirements (Co-­‐loca:on) ✴
•Show success for con:nued support
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Informa:on
•[email protected] •Web site marcc.jhu.edu
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