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In addition to these, we would like to hear your ideas of how HDF Server could be utilized as well as any other feedback you might have. The award acknowledges significant lifetime leadership, dedication and a collaborative spirit in advancing the field of Earth Science information. His team supports NASA's Earth Observing System , which collects and studies massive quantities of earth observation from all over the world.

Habermann is recognized for his work in national and international standards for documenting data across many processing systems and data centers so that scientists, decision-makers, and the general public can understand and trust data collected by U.

Python and Hdf5 - Unlocking Scientific Data (Electronic book text)

Federal agencies and the academic community. He is also widely recognized as an expert in data management and in architectures of observing systems, data archives, and distribution systems. Ceemple v0. It is available from the Ceemple web site. Aleksandar is an expert in satellite data access and management.

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Scot Breitenfeld will work with our applications and High Performance Computing teams. Scot just received his PhD and is now joining us full time to provide support for applications on high end systems. His first two assignments will be to assist applications teams in using HDF5 on the new Blue Waters petascale system and on Lawrence Berkeley Laboratory's high end systems.

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  • Python and HDF5: Unlocking Scientific Data by Andrew Collete (Paperback, 2013)?
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  • Aleksandar and Scot are not just HDF experts; they also have a deep understanding of the data needs and challenges scientists and engineers face. At the end of the day, people use HDF to help them solve problems and make discoveries. Aleksandar and Scot make us much better at helping our users in the earth sciences and HPC applications do just that. Andrew has implemented h5py, a powerful python interface to HDF5. This book is an excellent guide to learning h5py, with loads of exercises and real-world examples.

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    You should also have a look at this interview of Andrew Collette , given at the launching of the book in November June 28, -- Samplify Systems, Inc. Its APAX technology is a universal numerical data encoder that operates on any integer or floating point data type and can achieve typical encoding rates of to without affecting the results of computing applications. The team recently won the Best Paper award at the Cray User Group conference for their description of the simulation and its findings. A primary goal of the project has been to expand the capabilities of HDF5 for petascale and future exascale platforms.

    Computer science researchers always hope for such an outcome, but rarely do things come together in this fashion.

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    William D. Bill Gropp for his selection to the list. As stated in the announcement, The annual list is comprised of an elite group of the best and brightest minds in HPC whose research, dedication and hard work will be making a difference in the HPC community and in the world with their contributions. About receiving this recognition Dr. Gropp remarked, It's a great honor to be part of this year's group of people to watch in HPC.

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    I'll be watching to see how our predictions turn out! The enhanced CF support will greatly improve interoperability with those clients that understand CF. Exascale computing is essentially a grand challenge to provide the next level of computational power required to help ensure the prosperity and security of the United States. A patched version of the HDF 4. HDF5DotNet 1. This release supports HDF We found something similar.

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    Python and HDF5: Unlocking Scientific Data

    New other. Make an offer:. Stock photo. Brand new: lowest price The lowest-priced, brand-new, unused, unopened, undamaged item in its original packaging where packaging is applicable. Python and HDF5 Paperback. Read full description.

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    Add to basket. Be the first to write a review About this product. All listings for this product Buy it now Buy it now. Any condition Any condition. See all This practical guide quickly gets you up to speed on the details, best practices, and pitfalls of using HDF5 to archive and share numerical datasets ranging in size from gigabytes to terabytes.

    Additional Product Features Author s. Andrew Collette holds a Ph. Additionally, Dr.