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of 6
pro vyhledávání: '"Elena Pourmal"'
Autor:
Mohamad Chaarawi, D. Robinson, Jordan Henderson, Neil Fortner, Songyu Lu, Jerome Soumagne, Elena Pourmal, Johann Lombardi, Scot Breitenfeld
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 33:903-914
The Hierarchical Data Format 5 (HDF5) has long been defined as one of the most prominent data models, binary file formats and I/O libraries for storing and managing scientific data. Introduced in the late 90s when POSIX I/O was the standard, the libr
Autor:
Surendra Byna, D. Robinson, Elena Pourmal, Quincey Koziol, Bin Dong, Jerome Soumagne, Venkatram Vishwanath, Scot Breitenfeld, Richard Warren, Houjun Tang
Publikováno v:
Journal of Computer Science and Technology, vol 35, iss 1
Scientific applications at exascale generate and analyze massive amounts of data. A critical requirement of these applications is the capability to access and manage this data efficiently on exascale systems. Parallel I/O, the key technology enables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edb88ffbbbcf5b50bfc003a572f4da58
https://escholarship.org/uc/item/9x80d9n2
https://escholarship.org/uc/item/9x80d9n2
Autor:
Quincey Koziol, Neil Fortner, Gerd Heber, John Mainzer, Marc Paterno, Elena Pourmal, Suren Byna
Publikováno v:
XLOOP@SC
DOE / OSTI
DOE / OSTI
The importance of sparse data management is growing with data produced by large-scale experimental and observational facilities that contain small amounts of non-zero values. In this document, we explore different design options to support sparse dat
Publikováno v:
EDBT/ICDT Array Databases Workshop
In this paper, we give an overview of the HDF5 technology suite and some of its applications. We discuss the HDF5 data model, the HDF5 software architecture and some of its performance enhancing capabilities.
Autor:
Mike Folk, Elena Pourmal
Publikováno v:
Proceedings of the 2010 Roadmap for Digital Preservation Interoperability Framework Workshop.
Fifteen years ago, The HDF Group set out to re-invent the HDF format and software suite to address two conflicting challenges. The first was to enable exceptionally scalable, extensible storage and access for every kind of scientific and engineering