A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Vector Extensions for Decision Support DBMS Acceleration
2012
2012 45th Annual IEEE/ACM International Symposium on Microarchitecture
Preserved Fulltext
This work takes a top-down approach to accelerating decision support systems (DSS) on x86-64 microprocessors using vector ISA extensions. ...
We discuss why the existing multimedia SIMD extensions (SSE/AVX) are not suitable for capturing this parallelism and propose a complementary instruction set reminiscent of classical vector architectures ...
Acknowledgements The authors would like to thank Peter Boncz, MarcinŻukowski and Paul Rosenfeld for their helpful advice and feedback. ...
doi:10.1109/micro.2012.24
dblp:conf/micro/HayesPUCV12
fatcat:u2fwqzsjejc5zbjfg4crxrynou
Database systems research on data mining
2010
Proceedings of the 2010 international conference on Management of data - SIGMOD '10
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We pay particular attention to SQL and MapReduce as two competing technologies for large scale processing. We conclude with a summary of solved major problems and open research issues. ...
Column stores can accelerate data mining, especially for high dimensional models. From the mathematical side, the list is extensive. ...
Sampling has been key to accelerate clustering, decision trees and association rules. ...
doi:10.1145/1807167.1807335
dblp:conf/sigmod/OrdonezG10
fatcat:ppgnhhnzorhkpbrpqz7etrz6j4
Can we analyze big data inside a DBMS?
2013
Proceedings of the sixteenth international workshop on Data warehousing and OLAP - DOLAP '13
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
On the other hand, for data analytics in a broad sense, there are plenty of non-DBMS tools including statistical languages, matrix packages, generic data mining programs and largescale parallel systems ...
, being the main technology for big data analytics. ...
Acknowledgments This research work was partially supported by National Science Foundation grant IIS 0914861.
REFERENCES ...
doi:10.1145/2513190.2513198
dblp:conf/dolap/Ordonez13
fatcat:ejuvzywvqrd5jig6bfcmixc66m
Workload Optimization by Horizontal Aggregation in SQL for Data Mining Analysis
2021
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Decision making; 4. Data migration. The decision phase is triggered when the load imbalance is detected to calculate optimal data redistribution. ...
For query optimization the distance computation and nearest cluster in the k-means are based on SQL. ...
Basically, a horizontal aggregation returns a set of numbers instead of a single number for each group, resembling a multi-dimensional vector. ➢ We proposed an abstract, but minimal, extension to SQL standard ...
doi:10.32628/cseit217263
fatcat:i6swnr4qibbvbhtpdilqj7cdmy
Statistical Model Computation with UDFs
2010
IEEE Transactions on Knowledge and Data Engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Statistical models are generally computed outside a DBMS due to their mathematical complexity. ...
We introduce techniques to efficiently compute fundamental statistical models inside a DBMS exploiting User-Defined-Functions (UDFs). ...
Acknowledgments This research work was supported by US National Science Foundation grants CCF 0937562 and IIS 0914861. ...
doi:10.1109/tkde.2010.44
fatcat:mhmmyoie3zczhchbnvai4dm3ri
GPU-Accelerated Database Systems: Survey and Open Challenges
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Unsurprisingly, the database research community identified GPUs as effective co-processors for data processing several years ago. ...
The vast amount of processing power and memory bandwidth provided by modern graphics cards make them an interesting platform for data-intensive applications. ...
We discuss eight GPU-accelerated DBMSs (GDBMSs) to review the stateof-the-art, collect prominent findings, and complement our discussion on a GPU-aware DBMS architecture. 2. ...
doi:10.1007/978-3-662-45761-0_1
fatcat:rpwqxejbkjh6dhzp27ppiawzsu
doppioDB 1.0: Machine Learning inside a Relational Engine
2019
IEEE Data Engineering Bulletin
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
This first version of doppioDB provides a platform for extending traditional relational processing with customizable hardware to support stochastic gradient descent and decision tree ensembles. ...
In this paper we present doppioDB 1.0, an FPGA-enabled database engine incorporating FPGA-based machine learning operators into a main memory, columnar DBMS (MonetDB). ...
Acknowledgements We like to thank Intel for the generous donation of the Xeon+FPGA v2 prototype. ...
dblp:journals/debu/AlonsoIKOS19
fatcat:6vxbetufyrddxpy7tidsltuov4
AxleDB: A novel programmable query processing platform on FPGA
2017
Microprocessors and microsystems
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
To minimize the amount of SSD I/O operations required, AxleDB also supports hardware MinMax indexing for databases. ...
DBMS, i.e., PostgreSQL and MonetDB. ...
DBMS Software Extensions for AxleDB. ...
doi:10.1016/j.micpro.2017.04.018
fatcat:iwsyzrtoifhivn552ywwqk3ude
Conceptual design and implementation of spatial data warehouses integrating regular grids of points
2016
International Journal of Digital Earth
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Motivated by the need for a conceptual design tool and ROLAP implementation, we propose a UML profile for SDWs that integrates a regular grid of points and supports continuity and multiresolutions. ...
In the last decade, the conceptual design and implementation of SDWs that integrate spatial data, which are represented using the vector model, have been extensively investigated. ...
PostGIS is an extension of the DBMS PostgreSQL for spatial data. The SOLAP server is GeoMondrian (GeoMondrian, 2015) . ...
doi:10.1080/17538947.2016.1266040
fatcat:jjaoh5bjrjd65iqbhmpzrmckzm
Evaluating Lightweight Integer Compression Algorithms in Column-Oriented In-Memory DBMS
2021
International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Our evaluation suggests that random access performance is often more relevant than vectorization capabilities for sequential accesses. ...
In recent years, various integer compression techniques have been proposed that focus on sequential encoding and decoding and exploit modern CPUs' vectorization capabilities. ...
ACKNOWLEDGMENTS We thank Tobias Pape and the HPI Data Engineering Lab for supporting us with the cache miss analyses and providing access to the evaluated hardware platforms. ...
dblp:conf/adms/HeinzlH0PP21
fatcat:ez25osprcjeolbwlre4h3erkw4
Data parallel acceleration of decision support queries using Cell/BE and GPUs
2009
Proceedings of the 6th ACM conference on Computing frontiers - CF '09
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Decision Support System (DSS) workloads are known to be one of the most time-consuming database workloads that processes large data sets. ...
Traditionally, DSS queries have been accelerated using large-scale multiprocessor. ...
TPC-H is a Decision Support System (DSS) benchmark. The queries employed by this benchmark are relevant to industry decision support operations. ...
doi:10.1145/1531743.1531763
dblp:conf/cf/TrancosoOA09
fatcat:aem46tslwvg6hjmvwslap7xwbm
PCA for large data sets with parallel data summarization
2013
Distributed and parallel databases
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Parallel processing is essential for large-scale analytics. ...
Benchmarking on multicore CPUs and a parallel DBMS running on multiple nodes confirms linear speedup and linear scalability. ...
Acknowledgments This work was supported by NSF grant IIS 0914861. ...
doi:10.1007/s10619-013-7134-6
fatcat:aleeiv7g65brpnffeiuezpziv4
LIMoSim: A Lightweight and Integrated Approach for Simulating Vehicular Mobility with OMNeT++
[article]
2017
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The proposed framework Lightweight ICT-centric Mobility Simulation (LIMoSim) is available as Open Source software and can easily be combined with other third-party extension frameworks for providing vehicular ...
In this paper, we present a lightweight and integrated approach for simulating vehicular mobility directly in Objective Modular Network Testbed in C++ (OMNeT++) and INET without the need for external tools ...
ACKNOWLEDGMENT Part of the work on this paper has been supported by Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 "Providing Information by Resource-Constrained ...
arXiv:1709.02020v1
fatcat:ancmnhguefgfhaexerbqje2tvi
Adaptive Data Processing in Heterogeneous Hardware Systems
2018
Workshop Grundlagen von Datenbanken
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Hence, it is evident that an adaptable DBMS is necessary for supporting this highly volatile environment. ...
Before, a traditional DBMS was sufficient for performing a given operation, whereas a current DBMS is required to perform complex analytical tasks like graph analysis or OLAP. ...
The parallelism in GPU has been already exploited extensively for several DBMS operations [3, 1] . ...
dblp:conf/gvd/GurumurthyDBSP18
fatcat:idhyo2ltlrhnjds45dxpwtmgza
Evaluating end-to-end optimization for data analytics applications in weld
2018
Proceedings of the VLDB Endowment
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Our results show that common runtime designs like Weld may be a viable approach to accelerate analytics. ...
Our optimizer eliminates multiple forms of overhead that arise when composing imperative libraries like Pandas and NumPy, and uses lightweight measurements to make data-dependent decisions at runtime in ...
ACKNOWLEDGEMENTS We thank the members of the Stanford DAWN lab for their invaluable feedback on this work. ...
doi:10.14778/3213880.3213890
fatcat:oesslpgfy5awlb32xnylmjlnoa
« Previous
Showing results 1 — 15 out of 2,031 results