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In every form of digital store-and-forward communication, intermediate forwarding nodes are computers, with attendant memory and processing resources. This has inevitably stimulated efforts to create a wide-area infrastructure that goes beyond simple
Externí odkaz:
http://arxiv.org/abs/1706.07519
Publikováno v:
Revista Médica de Trujillo. 17:9-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e47bb0ef65de1c1a6fff24daa643aef4
https://doi.org/10.17268/rmt.2022.v17i1.4261
https://doi.org/10.17268/rmt.2022.v17i1.4261
Publikováno v:
In Parallel Computing July 2014 40(7):213-223
Autor:
Bosilca, George, Bouteiller, Aurelien, Danalis, Anthony, Herault, Thomas, Lemarinier, Pierre, Dongarra, Jack
Publikováno v:
In Parallel Computing 2012 38(1):37-51
Autor:
Deborah A. Penchoff, Edward Valeev, Heike Jagode, Piotr Luszczek, Anthony Danalis, George Bosilca, Robert J. Harrison, Jack Dongarra, Theresa L. Windus
Publikováno v:
Rare Earth Elements and Actinides: Progress in Computational Science Applications ISBN: 9780841298255
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd92af54bb9bdadc2c8637217712448
https://doi.org/10.1021/bk-2021-1388.ch001
https://doi.org/10.1021/bk-2021-1388.ch001
Publikováno v:
The International Journal of High Performance Computing Applications. 33:1113-1127
The methodology and standardization layer provided by the Performance Application Programming Interface (PAPI) has played a vital role in application profiling for almost two decades. It has enabled sophisticated performance analysis tool designers a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9e0d77a49d726db1c272d831f77d78c
https://doi.org/10.1177/1094342019846287
https://doi.org/10.1177/1094342019846287
Publikováno v:
Tools for High Performance Computing 2018 / 2019 ISBN: 9783030660567
With exascale computing forthcoming, performance metrics such as memory traffic and arithmetic intensity are increasingly important for codes that heavily utilize numerical kernels. Performance metrics in different CPU architectures can be monitored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b30b85110322a3ce85c2aaa68ca59a8d
https://doi.org/10.1007/978-3-030-66057-4_11
https://doi.org/10.1007/978-3-030-66057-4_11
Autor:
Danalis, Anthony, Jagode, Heike
The PAPI Unifying Layer for Software-defined Events (PULSE) project focuses on enabling cross-layer and integrated monitoring of whole application performance by extending PAPI with the capability to expose performance metrics from key software compo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::180b16069add89ebc8b92e7fa70c6cdd
PAPI provides a consistent interface and methodology for hardware performance counters found across a compute system: i. e., CPUs, GPUs, on- and off-chip memory, interconnects, I/O system, file system, energy/power, etc.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b09cc6fca4a329381f5b3e2d51ec3a0