Full set of Academic Research References
Many academic research projects, papers, and publications have used and cited Panasas PanFS®. The following is a list of some of those projects.
Bjerknes Center for Climate Research
Bethke, I.; Bentsen, Ml; Veldore, V. (2013, Jan.). Earth System Model Installation at TERI HPC: Norway – India Collaboration. The Energy and Resources Institute TERIA-NFA Working Paper No. 7.
University at Buffalo
Furlani, T.; Schneider, B.; Jones, M.; Towns, J.; Hard, D.; Patra, A.; DeLeon, R.; Gallo, S.; Lu, C-D.; Ghadersohi, A.; Gentner, R.; Bruno, A.; Boisseau, J.; Wang, F.; von Laszewski, G. (2012, Nov.). Data Analytics Driven Cyberinfrastructure Operations, Planning and Analysis Using XDMoD. Proceedings of the SC12 Conference.
Carnegie Mellon University
Patil, S.; Ren, K.; Gibson, G. (2012, Nov. 10). A Case for Scaling HPC Metadata Performance through De-specialization. 2012 SC Companion: High Performance Computing, Networking Storage and Analysis. doi: 10.1109/SC.Companion.2012.372
University of Central Florida
Mitchell, C.; Nunez, J; Wang, J. (2009, Aug 31) Overlapped checkpointing with hardware assist. 2009 IEEE International Conference on Cluster Computing and Workshops. doi: 10.1109/CLUSTR.2009.5289154
University of Cologne
Kawalia, A.; Motameny, S.; Wonczak, S.; Thiele, H.; Nieroda, L.; Jabbari, K.; Borowski, S.; Sinha, V.; Gunia, W.; Lang, U.; Achter, V.; and Nuernberg, P. (2015, May 5). Leveraging the Power of High Performance Computing for Next Generation Sequencing Data Analysis: Tricks and Twists from a High Throughput Exome Workflow. PLoS One. 105; 10(5): e0126321. doi: 10.1371/journal.pone.0126321
Cranfield University
Moulitsas, I.; Sharma, A. (2017, Sep.). MPI to Coarray Fortran: Experiences with a CFD Solver for Unstructured Meshes. Scientific Programming Journal, 2017. doi: 10.1155/2017/3409647
University of Electronic Science and Technology of China
Tang, A.; Gulbeden, A.; Zhou, J.; Stratherarn, W.; Yang, T; Chu, L. (2004, Nov). The Panasas ActiveScale Storage Cluster – Delivering Scalable High Bandwidth Storage. SC’04: Proceedings of the 2004 ACM/IEEE Conference on Supercomputing. doi: 10.1109/SC.2004.57
Florida State University
Shrum, D.C.; Woodruff, B.W.; Stagg, S.M. (2012, Jul 25). Creating an Infrastructure for High-Throughput High-Resolution Cryogenic Electron Microscopy.Journal of Structural Biology. 2012 Oct: 180(1): 254-258. doi: 10.1016/j.jsb.2012.07.009
Georgia Tech University
Lofstead, G. (2010, Dec. 14). Extreme Scale Data Management in High Performance Computing. Georgia Tech University Library SMARTech.
Zheng, F.; Abbasi, H.; Docan, C.; Lofstead, J.; Liu, Q.; Klasky, S.; Parashar, M. (2010, Jan 25). PreDatA – Preparatory Data Analytics on Peta-Scale Machines. 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS). doi: 10.1109/IPDPS.2010.5470454
Haifa University
Nagle, D.; Factor, M.E.; Iren, S.; Naor, D.; Riedel, E.; Rodeh, O.; Satran, J. (2008, Jul). The ANSI T10 object-based storage standard and current implementations. IBM Journal of Research and Development, Volume: 52 Issue: 4.5. doi: 10.1147/rd.524.0401
Harvard University
Hermann, M.; Clunie, D.; Fedorov, A.; Doyle, S.; Pieper, S.; Klepeis, V.; Le, L.; Mutter, G.; Milstone,; Schultz, T.; Kikinis, R.; Kotecha, G.; Hwang, D.; Andriole, K.; Iafrate, A.; Brink, J.; Boland, G.; Dreyer, K.; Michalski, M.; Golden, J.; Louis, D.; Lennerz, J. (2018, Nov 2). Implementing the DICOM Standard for Digital Pathology. Journal of Pathology Informatics. 2018: 9: 37. doi: 10.4103/jpi.jpi_42_18
The Chinese University of Hong Kong
Chan, J.; Ding, Q.; Lee, P.; Chan, H. (2014, Feb). Parity Logging with Reserved Space: Towards Efficient Updates and Recovery in Erasure-coded Clustered Storage. FAST’14 Proceedings of the 12th USENIX Conference on File and Storage Technologies.
Irish Centre for High-End Computing (ICHEC)
Lysaght, M.; Wilson, N.; McHugh, E.; Browne, M.; Civario, G. (2013, Feb). Best Practice mini-guide “Stokes”. Partnership For Advanced Computing in Europe (PRACE).
University of Nebraska
Swanson, D. (2018, Aug 29). Finding Subatomic Particles and Nanoscopic Gold with Open, Shared Computing. University of Kansas Journals
Northwestern University
Ching, A.; Coloma, K.; Li, J.; Choudhary, A.; Liao, W-K. (2005, Jan). High-Performance Techniques for Parallel I/O. Proceedings of the 2005 International Symposium on High-Performance Computer Architecture.
Coloma, K.; Choudhary, A.; Liao, W-K.; Ward, L.; Tideman, S. (2005, Jan). DAChe: Direct Access Cache System for Parallel I/O. Proceedings of the 2005 International Symposium on High-Performance Computer Architecture.
Liao, W-K.; Coloma, K.; Choudhary, A.; Ward, L. (2001, Jan) Cooperative Client-side File Caching for MPI Applications. Proceedings HPCA Seventh International Symposium on High-Performance Computer Architecture.
Ching, A.; Liao, W-K.; Choudhary, A.; Ross, R.; Ward, L. (2007, Nov 10.) Noncontiguous Locking Techniques for Parallel File Systems. SC ’07: Proceedings of the 2007 ACM/IEEE Conference on Supercomputing. doi: 10.1145/1362622.1362658
Notre Dame University
Tovar, B.; Lyons, B.; Mohrman, K.; Sly-Delgado, B.; Lannon, K.; Thain, D. (2022, Feb). Dynamic Task Shaping for High Throughput Data Analysis Applications in High Energy Physics. Proceedings International Symposium on Parallel and Distributed Processing (IPDPS) 2022.
Rice University
Grossman, M.; Araya-Polo, M. (2015, Oct. 30). Efficient Static and Dynamic Memory Management Techniques for Multi-GPU Systems. Runtime Systems for Extreme Scale Programming Models and Architectures (RESPA ’15).
Grossman, M.; Araya-Polo, M. (2015, Nov). Distributed, Heterogeneous Scheduling Techniques Motivated by Production Geophysical Applications. 8thWorkshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) 2015.
Moll, M.; Bryant, D.H.; Kavraki, L.E. (2010, Nov 11). The LabelHash algorithm for substructure matching. BMC Bioinformatics. 2010; 11: 555. doi: 10.1186/1471-2105-11-555
Stanford University
Jia, Z., Treichler, S., Shipman, G., McCormick, P., Aiken, A. (2018, May 2). Isometry: A Path-Based Distributed Data Transfer System. ICS’18, June 12-15, 2018, Beijing, China. doi: 10.1145/3205289.3205301
Farhat, C. (2009, Aug 21). Parameterized Aeroelastic Reduced-Order Modeling of Fighters. Defense Technical Information Center. Accession Number: AD1026527
Tokyo Institute of Technology
Gomez, L.B.; Nukada, A.; Maruyama, N.; Cappello, F.; Matsuoka, S. (2010, Dec 16). Low-overhead checkpoint for large-scale GPU-accelerated systems. IPSJ SIG Technical Report. Vol.2010-ARC-102 No.12.
University of Cambridge
Calleja, P.; Posey, S.; Loewe, B. (2009, May). Cluster Scalability of Implicit and Implicit-Explicit LS-DYNA Simulations Using a Parallel File System. 7thEuropean LS-DYNA Conference.
University College London
Langdon, W.B. (2012, Jun 12). Initial experiences of the Emerald: e-Infrastructure South GPU supercomputer. UCL Department of Computer Science Research Note RN/12/08.
Uppsala University
Lampa, S.; Dahloe, M.; Olason, P.I.; Hagberg, J.; Spjuth, O. (2013, Jun 25). Lessons Learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data. Gigascience. 2013 Jun 25;2(1):9. doi: 10.1186/2047-217X-2-9
Utah State University
Horne, K. (2009, Dec). Parallelization of Performance Limiting Routines in the Computational Fluid Dynamics General Notation System Library. Utah State University Digital Commons.
Warsaw University of Technology
Pomeran, M.; Zlagnean, L.; Besutiu, L. (2019, Sep). Tentative oblique subduction high resolution models, lead to reducing costs of HPCC usage. Conference Proceedings, 10th Congress of the Balkan Geophysical Society, Sep 2019, Volume 2019, p.1 – 5 doi: 10.3997/2214-4609.201902620