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4th Parallel Data Storage Workshopheld in conjunction with
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workshop abstract
Petascale computing infrastructures make petascale demands on information storage capacity, performance, concurrency, reliability, availability, and manageability. This one-day workshop focuses on the data storage problems and emerging solutions found in petascale scientific computing environments, with special attention to issues in which community collaboration can be crucial, problem identification, workload capture, solution interoperability, standards with community buy-in, and shared tools. This workshop seeks contributions on relevant topics, including but not limited to: performance and benchmarking results and tools, failure tolerance problems and solutions, APIs for high performance features, parallel file systems, high bandwidth storage architectures, wide area file systems, metadata intensive workloads, autonomics for HPC storage, virtualization for storage systems, data-intensive and cloud storage,archival storage advances, resource management innovations, etc.
AGENDA
All papers presented at this workshop are also online at the ACM Digital Library (table of contents of the procedings).
8:55am - 9:00am |
Welcome - Garth Gibson, Workshop Chair |
9:00am - 10:00am |
SESSION 1: Data-Intensive Cluster Storage |
| Mixing Hadoop and HPC Workloads on Parallel Filesystems Esteban Molina-Estolano, Carlos Maltzahn, Scott Brandt, University of California Santa Cruz, Maya Gokhale, John May, Lawrence Livermore Nat Lab, John Bent, Los Alamos Nat Lab Paper | Slides DiskReduce: RAID for Data-Intensive Scalable Computing Bin Fan, Wittawat Tantisiriroj, Lin Xiao, Garth Gibson, Carnegie Mellon University Paper | Slides |
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10:00am - 10:30am |
POSTER SESSION 1 - List of participants and links to posters |
10:30am - 12:30pm |
SESSION 2: Patterns in Petascale Storage Access |
| Data Layout Optimization for Petascale File Systems Xian-He Sun, Yong Chen, Yanlong Yin, Illinois Institute of Technology Paper | Slides Case Studies in Storage Access by Loosely Coupled Petascale Applications Justin M. Wozniak, Michael Wilde, Argonne Nat Lab Paper | Slides ...And eat it too: High read performance in write-optimized HPC I/O middleware file formats Milo Polte, Garth Gibson, Carnegie Mellon University, Jay Lofstead, Karsten Schwan, Matthew Wolf, Georgia Institute of Technology, John Bent, Meghan Wingate, Los Alamos Nat Lab, Scott A. Klasky, Qing Liu, Norbert Podhorszki, Oak Ridge Nat Lab, Manish Parashar, Rutgers University Paper | Slides Scalable I/O Tracing and Analysis Karthik Vijayakumar, Frank Mueller, Xiaosong Ma, North Carolina State University, Philip C. Roth, Oak Ridge Nat Lab. Paper | Slides |
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12:30pm - 2:00pm |
Lunch |
2:00pm - 3:00pm |
SESSION 3: Integrating Enterprise Storage Features |
| pNFS, POSIX, and MPI-IO: A Tale of Three Semantics Dean Hildebrand, Roger Haskin, IBM Almaden Research Center, Arifa Nisar, Northwestern University Paper | Slides Uncovering Errors: The Cost of Detecting Silent Data Corruption Sumit Narayan, John A. Chandy, University of Connecticut, Samuel Lang, Philip Carns, Robert Ross, Argonne Nat Lab Paper | Slides |
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3:00pm - 3:30pm |
POSTER SESSION 2 - List of participants and links to posters |
3:30pm - 4:30pm |
SESSION 4: Integrating Databases |
| Fusing Data Management Services with File Systems Scott Brandt, Carlos Maltzahn, Neoklis Polyzotis, Wang-Chiew Tan, University of California, Santa Cruz Paper | Slides Using the Active Storage Fabrics Model to Address Petascale Storage Challenges Blake G. Fitch, Aleksandr Rayshubskiy, Michael C. Pitman, Robert S. Germain, IBM T.J. Watson Research Center, T.J. Christopher Ward, IBM Software Group Hursley Park Paper | Slides |
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4:30pm - 5:00pm |
Short Announcements (sign up onsite) & Town Hall Meeting |
5:00pm - 5:30pm |
POSTER SESSION 3 - List of participants and links to posters |
COMMITTEE:
Garth A. Gibson, Carnegie Mellon University and Panasas Inc.
Darrell Long,
University of California, Santa Cruz
Peter Honeyman, University of Michigan, Ann Arbor,
Center for
Information Technology Integration
Gary A. Grider, Los Alamos National Laboratory
John Shalf, National
Energy Research Scientific Computing Center,
Lawrence Berkeley National Laboratory
Philip C. Roth,
Oak Ridge National Laboratory
Evan J. Felix, Pacific Northwest National Laboratory
Lee Ward, Sandia
National Laboratory
Rob Ross, Argonne National Laboratory
Karsten Schwan, Georgia Institute of
Technology
William T. C. Kramer, National Center for Supercomputing Applications