1. Advanced Research Computing Projects & Services at U-M
New
Advanced Research Computing
Projects & Services at U-M
Sharon Broude Geva
Director of Advanced Research Computing (ARC)
University of Michigan
2015 CASC Fall Meeting - 10/15/2015

2. Advanced Research Computing

3. U-M Data Science Initiative
U-M investment of $100M over next 5 years
Hire 35 new faculty over the next four years and engage existing faculty across campus;
Support interdisciplinary data-related research initiatives and foster new methodological approaches to big data;
provide new educational opportunities for students pursuing careers in data science;
expand U-M’s research computing capacity; and
strengthen data management, storage, analytics, and training resources.
1500+ registrants for kick-off symposium last week

4. U-M Data Science Initiative
Faculty affiliates, challenge grants, graduate certificate, industry engagement
Data Science infrastructure build and operations
Data Science consultants and training

5. CC*DNI Award: MI-OSiRIS
PI: Shawn McKee (U-M Physics, ARC)
Co-PI’s: Swany (IU), Gossman (WSU), Merz (MSU)
$4.9 Million (NSF)
Will provide a distributed, multi-institutional storage IF that allows researchers at any of the three campuses to read, write, manage, and share data from their computing facility locations
Goal - Provide transparent high-performance access to the same storage IF from well-connected locations on any of the three campuses

6. CC*DNI Award: MI-OSiRIS
Will include network discovery, monitoring and management tools and creative use of CEPH features
Users get customized data interfaces for their multi-institutional data needs
Seamless rebalancing and expansion of storage
Data sharing, archiving, security, and life-cycle management implemented and maintained with single distributed service
Data IF view for each research domain can be optimized

7. MI-OSiRIS research domain interfaces showing the software-defined storage layer that we leverage for data life-cycle management and research domain customization. Ceph pool colors correspond to research domains.

8. CC*DNI Award: MI-OSiRIS
Center for Network and Storage-Enabled Collaborative Computational Science
Build and operations at U-M

9. MRI Award: ConFlux PI: Karthik Duraisamy (Aerospace Engineering)
$3.5 Million ($2.42M NSF + $1.04M cost-share)
Designed to enable HPC simulations to interface with large datasets while running
To refine complex physics-based models with Big Data techniques (For cardiovascular disease; turbulence; clouds, rainfall, climate; dark matter, dark energy; material property prediction)
CPU’s + GPU’s, large memory, ultra-fast interconnect, 3 PB hard drive
Optimized hardware for machine learning
Plan to expand availability to researchers and schools outside the grant team

10. MRI Award: ConFlux Center for Data-Driven Computational Physics
Technical design, build, and operations

11. Turbo: High Performance Research Storage
Isilon scalable storage for U-M researchers
Configured to be easily shareable with on-campus resources such as the Flux HPC cluster, as well as off-campus systems and collaborators
Performance sufficient for both IO-intensive operations and bulk file access, allowing researchers to work with data in place and avoid excessive data staging
Primary tiered storage - Hybrid w/SSDs
Tuned for large files (1MB or greater) but capable of handling small files (e.g., documents, spreadsheets, etc.)
Billing granularity? threads? 20M?

12. Turbo: High Performance Research Storage
NFSv3 and NFSv4 access (for Linux, Mavericks, Yosemite, Windows 7+)
NFSv4 w/Kerberos access (Linux and Mavericks)
Two security levels:
regulated and/or sensitive data (PHI only w/Kerberos)
non-sensitive data
Globus available for volumes that do not contain PHI, for sharing and hosting data for external collaborators and institutes.
Currently 1PB usable, replicated to 1PB DR
Cost: $19.20 / TB / Month (Optional daily snapshots available at no cost)

13. Turbo: High Performance Research Storage
Technical design, build, and operations