Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Raza, Aunn"'
Modern Hybrid Transactional/Analytical Processing (HTAP) systems use an integrated data processing engine that performs analytics on fresh data, which are ingested from a transactional engine. HTAP systems typically consider data freshness at design
Externí odkaz:
http://arxiv.org/abs/2004.05437
Autor:
Usama, Muhammad, Qadir, Junaid, Raza, Aunn, Arif, Hunain, Yau, Kok-Lim Alvin, Elkhatib, Yehia, Hussain, Amir, Al-Fuqaha, Ala
While machine learning and artificial intelligence have long been applied in networking research, the bulk of such works has focused on supervised learning. Recently there has been a rising trend of employing unsupervised machine learning using unstr
Externí odkaz:
http://arxiv.org/abs/1709.06599
Understanding the performance of data-parallel workloads when resource-constrained has significant practical importance but unfortunately has received only limited attention. This paper identifies, quantifies and demonstrates memory elasticity, an in
Externí odkaz:
http://arxiv.org/abs/1702.04323
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Understanding the performance of data-parallel workloads when resource-constrained has significant practical importance but unfortunately has received only limited attention. This paper identifies, quantifies and demonstrates memory elasticity, an in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6352e0c57dcae03b6ae01c44c054ddcc
https://infoscience.epfl.ch/record/255993
https://infoscience.epfl.ch/record/255993
Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::4b5ca76eef4c8b4708d635ef8f0ee8d1
https://infoscience.epfl.ch/record/303242
https://infoscience.epfl.ch/record/303242