Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Cagri Balkesen"'
Autor:
Sam Idicula, Venkatanathan Varadarajan, Nipun Agarwal, Seema Sundara, Felix Schmidt, Balakrishnan Chandrasekaran, Eric Sedlar, Pit Fender, Nitin Kunal, Arun Raghavan, Georgios Giannikis, Jarod Wen, Anand Viswanathan, Cagri Balkesen, Sandeep R. Agrawal
Publikováno v:
SIGMOD Conference
Today, an ever increasing amount of transistors are packed into processor designs with extra features to support a broad range of applications. As a consequence, processors are becoming more and more complex and power hungry. At the same time, they o
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 27:1754-1766
Existing main-memory hash join algorithms for multi-core can be classified into two camps. Hardware-oblivious hash join variants do not depend on hardware-specific parameters. Rather, they consider qualitative characteristics of modern hardware and a
Autor:
Arun Raghavan, Cagri Balkesen, Venkatraman Govindaraju, Georgios Giannikis, Venkatanathan Varadarajan, Eric Sedlar, Charlie Roth, Nipun Agarwal, Evangelos Vlachos, Sam Idicula, Sandeep R. Agrawal
Publikováno v:
MICRO
For many years, the highest energy cost in processing has been data movement rather than computation, and energy is the limiting factor in processor design [21]. As the data needed for a single application grows to exabytes [56], there is clearly an
Autor:
Arun Raghavan, Cagri Balkesen, Jarod Wen, Sandeep R. Agrawal, Nipun Agarwal, Sam Idicula, Venkatraman Govindaraju, Georgios Giannikis, Venkatanathan Vardarajan, Eric Sedlar
Publikováno v:
BigData Congress
Contemporary frameworks for data analytics, such as Hadoop, Spark, and Flink seek to allow applications to scale performance flexibly by adding hardware nodes. However, we find that when the computation on each individual node is optimized, periphera
Publikováno v:
Proceedings of the VLDB Endowment. 7:85-96
In this paper we experimentally study the performance of main-memory, parallel, multi-core join algorithms, focusing on sort-merge and (radix-)hash join. The relative performance of these two join approaches have been a topic of discussion for a long
Publikováno v:
IEEE Pervasive Computing. 8:34-41
Complex event processing (CEP) is an essential functionality for cross-reality environments. Through CEP, we can turn raw sensor data generated in the real world into more meaningful information that has some significance for the virtual world. In th
Publikováno v:
DEBS
Recognition of patterns in event streams has become important in many application areas of Complex Event Processing (CEP) including financial markets, electronic health-care systems, and security monitoring systems. In most applications, patterns hav
Publikováno v:
Technical Report / ETH Zurich, Department of Computer Science, 779
ICDE
ICDE
The architectural changes introduced with multicore CPUs have triggered a redesign of main-memory join algorithms. In the last few years, two diverging views have appeared. One approach advocates careful tailoring of the algorithm to the architectura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a3ac55c2b91c89e01645268dfb6468f
Autor:
Nihal Dindar, Florian Keusch, Nesime Tatbul, Ali Sengul, Cagri Balkesen, Gautier Boder, Katinka Kromwijk
With recent developments in Web technologies enabling interaction in virtual environments, as well as the ones in sensor network technologies enabling interaction with the real world, we see an emerging trend towards bringing these two worlds togethe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0b45feb15740e15f808ffc7e841f2dc
https://doi.org/10.4018/978-1-60566-384-5.ch041
https://doi.org/10.4018/978-1-60566-384-5.ch041