Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Kara, Kaan"'
Autor:
Xu, Lijie, Qiu, Shuang, Yuan, Binhang, Jiang, Jiawei, Renggli, Cedric, Gan, Shaoduo, Kara, Kaan, Li, Guoliang, Liu, Ji, Wu, Wentao, Ye, Jieping, Zhang, Ce
Stochastic gradient descent (SGD) is the cornerstone of modern machine learning (ML) systems. Despite its computational efficiency, SGD requires random data access that is inherently inefficient when implemented in systems that rely on block-addressa
Externí odkaz:
http://arxiv.org/abs/2206.05830
Autor:
Kara, Kaan (AUTHOR), Onur, Seda Tural (AUTHOR), Akyıl, Fatma Tokgöz (AUTHOR), Abalı, Hülya (AUTHOR), Sökücü, Sinem (AUTHOR)
Publikováno v:
Istanbul Medical Journal. May2024, Vol. 25 Issue 2, p105-109. 5p.
Autor:
Boyracı, Neslihan, Önür, Seda Tural, Kara, Kaan, Akyıl, Fatma Tokgoz, Abalı, Hülya, Kocaoğlu, Aslı, Sökücü, Sinem Nedime, Altın, Sedat, Pehlivan, Sacide, Oyacı, Yasemin
Publikováno v:
In The American Journal of the Medical Sciences June 2024
Autor:
Kulkarni, Amit, Chiosa, Monica, Preußer, Thomas B., Kara, Kaan, Sidler, David, Alonso, Gustavo
Data sketches are a set of widely used approximated data summarizing techniques. Their fundamental property is sub-linear memory complexity on the input cardinality, an important aspect when processing streams or data sets with a vast base domain (UR
Externí odkaz:
http://arxiv.org/abs/2005.13332
Autor:
Kara, Kaan, Hagleitner, Christoph, Diamantopoulos, Dionysios, Syrivelis, Dimitris, Alonso, Gustavo
FPGA-based data processing in datacenters is increasing in popularity due to the demands of modern workloads and the ensuing necessity for specialization in hardware. Driven by this trend, vendors are rapidly adapting reconfigurable devices to suit d
Externí odkaz:
http://arxiv.org/abs/2004.01635
Publikováno v:
PVLDB, 2019
Learning from the data stored in a database is an important function increasingly available in relational engines. Methods using lower precision input data are of special interest given their overall higher efficiency but, in databases, these methods
Externí odkaz:
http://arxiv.org/abs/1903.03404
Akademický článek
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Akademický článek
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Autor:
Gürel, Nezihe Merve, Kara, Kaan, Stojanov, Alen, Smith, Tyler, Lemmin, Thomas, Alistarh, Dan, Püschel, Markus, Zhang, Ce
Modern scientific instruments produce vast amounts of data, which can overwhelm the processing ability of computer systems. Lossy compression of data is an intriguing solution, but comes with its own drawbacks, such as potential signal loss, and the
Externí odkaz:
http://arxiv.org/abs/1802.04907
For Markov chain Monte Carlo methods, one of the greatest discrepancies between theory and system is the scan order - while most theoretical development on the mixing time analysis deals with random updates, real-world systems are implemented with sy
Externí odkaz:
http://arxiv.org/abs/1705.05154