Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Orestis Polychroniou"'
Autor:
Nikos Armenatzoglou, Sanuj Basu, Naga Bhanoori, Mengchu Cai, Naresh Chainani, Kiran Chinta, Venkatraman Govindaraju, Todd J. Green, Monish Gupta, Sebastian Hillig, Eric Hotinger, Yan Leshinksy, Jintian Liang, Michael McCreedy, Fabian Nagel, Ippokratis Pandis, Panos Parchas, Rahul Pathak, Orestis Polychroniou, Foyzur Rahman, Gaurav Saxena, Gokul Soundararajan, Sriram Subramanian, Doug Terry
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c301dbe34704e8c6a930496fda61ca9d
https://doi.org/10.1145/3514221.3526045
https://doi.org/10.1145/3514221.3526045
Autor:
Kenneth A. Ross, Orestis Polychroniou
Publikováno v:
The VLDB Journal. 29:1243-1261
Query execution engines for analytics are continuously adapting to the underlying hardware in order to maximize performance. Wider SIMD registers and more complex SIMD instruction sets are emerging in mainstream CPUs and new processor designs such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c61568548db1a63d3c03621f9651e10
https://doi.org/10.1007/s00778-020-00621-w
https://doi.org/10.1007/s00778-020-00621-w
Publikováno v:
ACM Transactions on Database Systems. 43:1-45
Network communication is the slowest component of many operators in distributed parallel databases deployed for large-scale analytics. Whereas considerable work has focused on speeding up databases on modern hardware, communication reduction has rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bdb074eae7973dea31cb77dfd661a8c
https://doi.org/10.1145/3241039
https://doi.org/10.1145/3241039
Autor:
Kenneth A. Ross, Orestis Polychroniou
Publikováno v:
DaMoN
Query execution engines are adapting to the underlying hardware in order to maximize performance. Wider SIMD registers and more complex SIMD instruction sets are emerging in mainstream CPUs as well as new processor designs, such as the many-core plat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61f142a585884f4f1465fcca88412b6c
https://doi.org/10.1145/3329785.3329928
https://doi.org/10.1145/3329785.3329928
Publikováno v:
ACM Transactions on Computer Systems. 32:1-24
Data partitioning is a critical operation for manipulating large datasets because it subdivides tasks into pieces that are more amenable to efficient processing. It is often the limiting factor in database performance and represents a significant fra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd3dc1304bce2f84adbdb14398de83f5
https://doi.org/10.1145/2638550
https://doi.org/10.1145/2638550
Autor:
Orestis Polychroniou, Kenneth A. Ross
Publikováno v:
DaMoN
The increasing main-memory capacity has allowed query execution to occur primarily in main memory. Database systems employ compression, not only to fit the data in main memory, but also to address the memory bandwidth bottleneck. Lightweight compress
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d6b363a71199e08d0f5ab1404f03c49
https://doi.org/10.1145/2771937.2771943
https://doi.org/10.1145/2771937.2771943
Publikováno v:
SIGMOD Conference
Analytical databases are continuously adapting to the underlying hardware in order to saturate all sources of parallelism. At the same time, hardware evolves in multiple directions to explore different trade-offs. The MIC architecture, one such examp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a851a0f49e1bc97ab23d5b1fca25b3e
https://doi.org/10.1145/2723372.2747645
https://doi.org/10.1145/2723372.2747645
Autor:
Kenneth A. Ross, Orestis Polychroniou
Publikováno v:
DaMoN
Analytics are at the core of many business intelligence tasks. Efficient query execution is facilitated by advanced hardware features, such as multi-core parallelism, shared-nothing low-latency caches, and SIMD vector instructions. Only recently, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd9144a0749fd8eac0d7d0cdc58f200
https://doi.org/10.1145/2619228.2619234
https://doi.org/10.1145/2619228.2619234
Autor:
Kenneth A. Ross, Orestis Polychroniou
Publikováno v:
SIGMOD Conference
Analytical database systems can achieve high throughput main-memory query execution by being aware of the dynamics of highly-parallel modern hardware. Such systems rely on partitioning to cluster or divide data into smaller pieces and thus achieve be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a08fef2a73f3362c36996f8906cef70
https://doi.org/10.1145/2588555.2610522
https://doi.org/10.1145/2588555.2610522
Publikováno v:
SIGMOD Conference
Network communication is the slowest component of many operators in distributed parallel databases deployed for large-scale analytics. Whereas considerable work has focused on speeding up databases on modern hardware, communication reduction has rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e21989e88a7be7adc17d8dc3e288214
https://doi.org/10.1145/2588555.2610521
https://doi.org/10.1145/2588555.2610521