Performance characterization of scientific workflows for the optimal use of Burst Buffers

Author:

Daley C.S.,Ghoshal D.,Lockwood G.K.,Dosanjh S.,Ramakrishnan L.,Wright N.J.

Funder

Lawrence Berkeley National Laboratory

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference40 articles.

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2. C.S. Daley, L. Ramakrishnan, S. Dosanjh, N.J. Wright, Analyses of scientific workflows for effective use of future architectures, in: Proceedings of the 6th International Workshop on Big Data Analytics: Challenges, and Opportunities (BDAC-15), Austin, TX, 2015.

3. Group-based variant calling leveraging next-generation supercomputing for large-scale whole-genome sequencing studies;Standish;BMC Bioinformatic,2015

4. P. Carns, R. Latham, R. Ross, K. Iskra, S. Lang, K. Riley, 24/7 Characterization of petascale I/O workloads, in: 2009 IEEE International Conference on Cluster Computing and Workshops, 2009, pp. 1–10. http://dx.doi.org/10.1109/CLUSTR.2009.5289150.

5. On the role of burst buffers in leadership-class storage systems;Liu,2012

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