Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ivo Jimenez"'
Publikováno v:
Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing.
Publikováno v:
Proceedings of the 5th International Workshop on Practical Reproducible Evaluation of Computer Systems.
Autor:
Julian Kunkel, Jean-Thomas Acquaviva, Suren Byna, Adrian Jackson, Ivo Jimenez, Anthony Kougkas, Jay Lofstead, Glenn K. Lockwood, Carlos Maltzahn, George S. Markomanolis, Lingfang Zeng
This is the first issue of the journal of High-Performance Storage.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a63f5d5f0edda6b5cea9879f6b56dbf
Publikováno v:
CANOPIE-HPC@SC
The problem of reproducibility and replication in scientific research is quite prevalent to date. Researchers working in fields of computational science often find it difficult to reproduce experiments from artifacts like code, data, diagrams, and re
Autor:
Sam Mansfield, Ivo Jimenez, Kerry Veenstra, Andrea David, Katia Obraczka, Mariette Souppe, Carlos Maltzahn
Publikováno v:
P-RECS@HPDC
Computer network research experiments can be broadly grouped in three categories: simulated, controlled, and real-world experiments. Simulation frameworks, experiment testbeds and measurement tools, respectively, are commonly used as the platforms fo
Publikováno v:
PPoPP
Popper is an experimentation protocol for conducting scientific explorations and writing academic articles following a DevOps approach. The Popper CLI tool helps researchers automate the execution and validation of an experimentation pipeline. In thi
Autor:
Ivo Jimenez, Carlos Maltzahn
Currently, approaches to scientific research require activities that take up much time but do not actually advance our scientific understanding. For example, researchers and students spend countless hours reformatting data and writing code to attempt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6edd2719eb50dfed17f798c1e6c5673e
Autor:
Ivo Jimenez, Sebastian Neubert, David M. South, Hildreth, Carlos Maltzahn, Robert Gardner, T. Malik, Thomas J. Hacker, Jim Pivarski, Amber Boehnlein, Daniel S. Katz, Stanley D. Smith, Mark Neubauer, Sünje Dallmeier-Tiessen, Andrii Verbytskyi, Gordon Watts, Lukas Heinrich, Elizabeth Sexton-Kennedy, Jamie Shiers, Kyle Cranmer, T. Simko, Meghan Kane, J. Wozniak
In this chapter of the High Energy Physics Software Foundation Community Whitepaper, we discuss the current state of infrastructure, best practices, and ongoing developments in the area of data and software preservation in high energy physics. A re-f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27fd3aed4d1c7e2dbcb707f70e0fee6e
https://doi.org/10.2172/1488605
https://doi.org/10.2172/1488605
Autor:
Noah Watkins, Ivo Jimenez, Shel Finkelstein, Patrick Donnelly, Jeff LeFevre, Peter Alvaro, Carlos Maltzahn, Michael A. Sevilla
Publikováno v:
IPDPS
HPC and data center scale application developers are abandoning POSIX IO because file system metadata synchronization and serialization overheads of providing strong consistency and durability are too costly – and often unnecessary – for their ap
Publikováno v:
ICPE
We introduce quiho, a framework for profiling application performance that can be used in automated performance regression tests. quiho profiles an application by applying sensitivity analysis, in particular statistical regression analysis (SRA), usi