Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο: https://hdl.handle.net/20.500.14279/10565
Τίτλος: RIOT: I/O efficient numerical computing without SQL
Συγγραφείς: Zhang, Yi 
Herodotou, Herodotos 
Yang, Jun 
metadata.dc.contributor.other: Ηροδότου, Ηρόδοτος
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Λέξεις-κλειδιά: RIOT;RIOT-DB;MATLAB
Ημερομηνία Έκδοσης: 2009
Πηγή: 4 th Biennial Conference on Innovative Data Systems Research (CIDR) January 4-7, 2009, Asilomar, California, USA.
Περιοδικό: CIDR 2009 - 4th Biennal Conference on Innovative Data Systems Research 
Περίληψη: R is a numerical computing environment that is widely popular for statistical data analysis. Like many such environments, R performs poorly for large datasets whose sizes exceed that of physical mem- ory. We present our vision of RIOT(R with I/O Transparency), a system that makes R programs I/O-efficient in a way transpar- ent to the users. We describe our experience with RIOT-DB, aninitial prototype that uses a relational database system as a back- end. Despite the overhead and inadequacy of generic database sys- tems in handling array data and numerical computation, RIOT-DB significantly outperforms R in many large-data scenarios, thanks to a suite of high-level, inter-operation optimizations that integrate seamlessly into R. While many techniques in RIOT are inspired by databases (and, for RIOT-DB, realized by a database system), RIOT users are insulated from anything database related. Compared with previous approaches that require users to learn new languages and rewrite their programs to interface with a database, RIOT will, we believe, be easier to adopt by the majority of the R user.
URI: https://hdl.handle.net/20.500.14279/10565
ISSN: 2-s2.0-84863368869
http://www.scopus.com/inward/record.url?eid=2-s2.0-84863368869&partnerID=MN8TOARS
Rights: © CIDR 2009
Type: Conference Papers
Affiliation: Duke University 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

CORE Recommender
Δείξε την πλήρη περιγραφή του τεκμηρίου

Google ScholarTM

Check


Όλα τα τεκμήρια του δικτυακού τόπου προστατεύονται από πνευματικά δικαιώματα