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pro vyhledávání: '"Eric Sedlar"'
Publikováno v:
Proceedings of the VLDB Endowment. 14:929-942
Modern database management systems employ sophisticated query optimization techniques that enable the generation of efficient plans for queries over very large data sets. A variety of other applications also process large data sets, but cannot levera
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
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
Autor:
Victor W. Lee, Eric Sedlar, Pradeep Dubey, Changkyu Kim, Jatin Chhugani, Tim Kaldewey, Nadathur Satish, Anthony D. Nguyen, Scott A. Brandt
Publikováno v:
ACM Transactions on Database Systems. 36:1-34
In-memory tree structured index search is a fundamental database operation. Modern processors provide tremendous computing power by integrating multiple cores, each with wide vector units. There has been much work to exploit modern processor architec
Autor:
Jatin Chhugani, Anthony D. Nguyen, Victor W. Lee, Tim Kaldewey, Eric Sedlar, Andrea Di Blas, Nadathur Satish, Changkyu Kim, Pradeep Dubey
Publikováno v:
Proceedings of the VLDB Endowment. 2:1378-1389
Join is an important database operation. As computer architectures evolve, the best join algorithm may change hand. This paper re-examines two popular join algorithms -- hash join and sort-merge join -- to determine if the latest computer architectur
Autor:
Eric Sedlar
Publikováno v:
SIGMOD Conference
The modern platforms that we want to use to manage our data are far more complex to program efficiently than the machines we used in the past. Every computer we run on is a massively parallel machine with many architectural "surprises" for programmer
Autor:
Eric Sedlar
Publikováno v:
2012 IEEE Technology Time Machine Symposium (TTM).
Today we are generally running cloud systems on the Henry Ford model: you can have any sort of architecture for your cloud computing, as long as it is the same as everybody else's—based on X86 and Ethernet interconnect. A uniform platform allows cl
Autor:
Victor W. Lee, Jatin Chhugani, Anthony D. Nguyen, Changkyu Kim, Nadathur Satish, Scott A. Brandt, Eric Sedlar, Pradeep Dubey, Tim Kaldewey
Publikováno v:
SIGMOD Conference
In-memory tree structured index search is a fundamental database operation. Modern processors provide tremendous computing power by integrating multiple cores, each with wide vector units. There has been much work to exploit modern processor architec
Autor:
Eric Sedlar, Ravi Murthy
Publikováno v:
SIGMOD Conference
A single model for access control across the database and application server tiers is crucial to ensure consistent secure access to data in all the tiers. In this paper, we present the common model for access control within Oracle database and applic