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One of the major performance and scalability bottlenecks in large scientific applications is parallel reading and writing to supercomputer I/O systems.
Mohindra, A., Devarakonda, M.: Distributed token management in Calypso file system. In: Proceedings of 1994 6th IEEE Symposium on Parallel and Distributed Processing. pp. 290–297 (Oct 1994)
1994
Earlier work this paper cites.
The HDF Group: Hierarchical Data Format, version 5 (1997), http://www.hdfgroup.org/HDF5/
1997
Earlier work this paper cites.
Thakur, R., Gropp, W., Lusk, E.: On implementing MPI-IO portably and with high performance. In: Proceedings of the Sixth Workshop on I/O in Parallel and Distributed Systems. pp. 23–32 (1999)
1999
Earlier work this paper cites.
Lustre: A scalable, high-performance file system. Cluster File Systems Inc. White Paper (2002)
2002
Earlier work this paper cites.
Schmuck, F.B., Haskin, R.L.: GPFS: A shared-disk file system for large computing clusters. In: Proceedings of the Conference on File and Storage Technologies. pp. 231–244. FAST ’02 (2002)
2002
Earlier work this paper cites.
Li, J., keng Liao, W., Choudhary, A., Ross, R., Thakur, R., Gropp, W., Latham, R., Siegel, A., Gallagher, B., Zingale, M.: Parallel netCDF: A high-performance scientific I/O interface. In: Supercomputing, 2003 ACM/IEEE Conference. pp. 39–39 (2003)
2003
Earlier work this paper cites.
Schwan, P., et al.: Lustre: Building a file system for 1000-node clusters. In: Proceedings of the 2003 Linux symposium. vol. 2003, pp. 380–386 (2003)
2003
Earlier work this paper cites.
Wang, F., Xin, Q., Hong, B., Brandt, S.A., Miller, E., Long, D., McLarty, T.: File system workload analysis for large scale scientific computing applications. Tech. rep. (2004)
2004
Earlier work this paper cites.
Factor, M., Meth, K., Naor, D., Rodeh, O., Satran, J.: Object storage: The future building block for storage systems. In: Local to Global Data Interoperability-Challenges and Technologies, 2005. pp. 119–123. IEEE (2005)
2005
Earlier work this paper cites.
Weil, S.A., Brandt, S.A., Miller, E.L., Long, D.D., Maltzahn, C.: Ceph: A scalable, high-performance distributed file system. In: Proceedings of the 7th symposium on Operating systems design and implementation. pp. 307–320. USENIX Association (2006)
2006
Cited alongside, same era.
Borrill, J., Oliker, L., Shalf, J., Shan, H.: Investigation of leading HPC I/O performance using a scientific-application derived benchmark. In: Supercomputing, 2007. SC ’07. Proceedings of the 2007 ACM/IEEE Conference on. pp. 1–12 (2007)
2007
Cited alongside, same era.
2007
Cited alongside, same era.
Bergman, K., Borkar, S., Campbell, D., Carlson, W., Dally, W., Denneau, M., Franzon, P., Harrod, W., Hill, K., Hiller, J., et al.: Exascale computing study: Technology challenges in achieving exascale systems. Defense Advanced Research Projects Agency Information Processing Techniques Office (DARPA IPTO), Tech. Rep 15
2017
Later among the works it cites.
Byna, S., Chaarawi, M., Koziol, Q., Mainzer, J., Willmore, F.: Tuning HDF5 subfiling performance on parallel file systems (2017)
2017
Later among the works it cites.
Lockwood, G.K., Hazen, D., Koziol, Q., Canon, R., Antypas, K., Balewski, J., Balthaser, N., Bhimji, W., Botts, J., Broughton, J., et al.: Storage 2020: A Vision for the Future of HPC Storage (2017)
2017
Later among the works it cites.
Peng, I.B., Gioiosa, R., Kestor, G., Cicotti, P., Laure, E., Markidis, S.: Exploring the performance benefit of hybrid memory system on HPC environments. In: Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 IEEE International. pp. 683–692. IEEE (2017)
2017
Later among the works it cites.
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2008
Cited alongside, same era.
Shan, H., Antypas, K., Shalf, J.: Characterizing and predicting the I/O performance of hpc applications using a parameterized synthetic benchmark. In: Proceedings of the 2008 ACM/IEEE conference on Supercomputing. p. 42. IEEE Press (2008)
2008
Cited alongside, same era.
Carns, P., Latham, R., Ross, R., Iskra, K., Lang, S., Riley, K.: 24/7 characterization of petascale I/O workloads. In: Cluster Computing and Workshops, 2009. CLUSTER’09. IEEE International Conference on. pp. 1–10. IEEE (2009)
2009
Cited alongside, same era.
Folk, M., Heber, G., Koziol, Q., Pourmal, E., Robinson, D.: An overview of the hdf5 technology suite and its applications. In: Proceedings of the EDBT/ICDT 2011 Workshop on Array Databases. pp. 36–47. ACM (2011)
2011
Cited alongside, same era.
The HDF Group: HDF5 Virtual Dataset (2014), https://support.hdfgroup.org/HDF5/Tutor/vds.html
2014
Cited alongside, same era.
Peng, I.B., Markidis, S., Laure, E., Kestor, G., Gioiosa, R.: Exploring application performance on emerging hybrid-memory supercomputers. In: High Performance Computing and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS), 2016 IEEE 18th International Conference on. pp. 473–480. IEEE (2016)
2016
Cited alongside, same era.
Introduction to Librados, http://docs.ceph.com/docs/master/rados/api/librados-intro/
Cited in the paper.
Carns, P.H., Ligon, III, W.B., Ross, R.B., Thakur, R.: PVFS: A parallel file system for linux clusters. In: Proceedings of the 4th Annual Linux Showcase & Conference - Volume 4. pp. 28–28
Cited in the paper.
Data Direct Networks: WOS: Object storage., https://www.ddn.com/products/object-storage-web-object-scaler-wos/
Cited in the paper.
Rivas-Gomez, S., Gioiosa, R., Peng, I.B., Kestor, G., Narasimhamurthy, S., Laure, E., Markidis, S.: MPI windows on storage for HPC applications. In: Proceedings of the 24th European MPI Users’ Group Meeting. p. 15. ACM (2017)
2017
Later among the works it cites.
IEEE standard for information technology–portable operating system interface (POSIX(R)) base specifications, issue 7. IEEE Std 1003.1-2017 (Revision of IEEE Std 1003.1-2008) (2018)
2018
Closest in time.
Narasimhamurthy, S., Danilov, N., Wu, S., Umanesan, G., Chien, S.W.D., Rivas-Gomez, S., Peng, I.B., Laure, E., Pleiter, D., de Witt, S., Markidis, S.: The SAGE project: a storage centric approach for exascale computing. In: Proceedings of Computing Frontiers 2018. ACM (2018)
2018
Closest in time.
Narasimhamurthy, S., Danilov, N., Wu, S., Umanesan, G., Markidis, S., Rivas-Gomez, S., Peng, I.B., Laure, E., Pleiter, D., de Witt, S.: SAGE: Percipient storage for exascale data centric computing. Parallel Computing (2018)
2018
Closest in time.