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
GPU-Accelerated Database Systems: Survey and Open Challenges
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
Based on this survey, we present key properties, important trade-offs and typical challenges of GPU-aware database architectures, and identify major open challenges. ...
In the past years, there were many approaches to make use of GPUs at different levels of a database system. In this paper, we explore the design space of GPU-accelerated database management systems. ...
This architecture provides insights on how to integrate GPU acceleration in main-memory DBMSs. 5. We identify new open challenges compared to our earlier work [17] . ...
doi:10.1007/978-3-662-45761-0_1
fatcat:rpwqxejbkjh6dhzp27ppiawzsu
Full Speed Ahead: 3D Spatial Database Acceleration with GPUs
[article]
2018
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.
This paper presents a pluggable acceleration engine for spatial database systems that can improve the performance of spatial operations by more than 3000x through GPU offloading. ...
We focus on the design and evaluation of our plug-in for the PostgreSQL database system. ...
In [11] , the authors present a survey for GPU-accelerated database systems and argue that modern database management systems should be an in-memory, column-oriented using a block-at-a-time processing ...
arXiv:1808.09571v1
fatcat:xr7x77zdwfdmroc5ucmce4fmii
Heterogeneity in Mobile Cloud Computing: Taxonomy and Open Challenges
2014
IEEE Communications Surveys and Tutorials
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 2016; you can also visit the original URL.
The file type is application/pdf.
We outline open issues that help in identifying new research directions in MCC. ...
Building such facilitators in MCC requires investigations to understand heterogeneity and its challenges over the roots. ...
OpenCL enables developers to create desktop applications executable on various types of computing elements like multicore CPU, GPU, and other accelerators. ...
doi:10.1109/surv.2013.050113.00090
fatcat:rlayt7itnvacrjdn26r7hnhxzu
Accelerating Database Systems Using FPGAs: A Survey
2018
2018 28th International Conference on Field Programmable Logic and Applications (FPL)
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.
Database systems are key to a variety of applications, and FPGA-based accelerators have shown promise in supporting high-performance database systems. ...
This survey presents a systematic review of research relating to accelerating analytical database systems using FPGAs. ...
The support of the United Kingdom EPSRC (grant number EP/I012036/1, EP/L00058X/1, EP/L016796/1, EP/N031768/1 and EP/K034448/1), European Union Horizon 2020 Research and Innovation Programme (grant number ...
doi:10.1109/fpl.2018.00030
dblp:conf/fpl/PapaphilippouL18
fatcat:gcnfescocngjbkdysdzj3rhpvy
Computational Workload in Biometric Identification Systems: An Overview
2019
IET Biometrics
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.
Lastly, the pertinent technical considerations and trade-offs of the surveyed methods are discussed, along with an industry perspective, and open issues/challenges in the field. ...
and software/hardware-based acceleration. ...
Center for Research in Security and Privacy (CRISP), and the LOEWE-3 BioBiDa Project (594/18-17). ...
doi:10.1049/iet-bmt.2019.0076
fatcat:wuumqz6jtrh5thv5olrf4kuplq
Image processing on mobile devices: An overview
2014
International Image Processing, Applications and Systems Conference
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.
With the emergence of general-purpose computing on embedded GPUs and their programming models like OpenGL ES 2.0 and OpenCL, mobile processors are gaining a more parallel computing capability. ...
In this paper, our interest is based on reviewing recent challenging tasks related to mobile image processing using both serial and parallel computing approaches in several emerging application contexts ...
In addition, several emerging programming modelssuch as Open Graphics Library for Embedded System 2.0 (OpenGL ES 2.0) [4] and Open Computing Language (OpenCL) [5] for the mobile GPGPU computing have ...
doi:10.1109/ipas.2014.7043267
fatcat:6dp4onkpzncwbbw7jdpv3v4pgi
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
[article]
2021
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 2021; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2021 pre-print arXiv:2111.03308v1 fatcat:3eh6kiaxm5ad7guyntxk6pg6miOther Versions
ML security requirements, and discusses related engineering challenges. ...
In the domain of systems security, many endeavors have been made to ensure ML model and data confidentiality. ...
[73] discusses both systemic challenges and algorithmic challenges of data protection in general AI services. ...
arXiv:2111.03308v2
fatcat:kmklsqvzureilldvr4ui4azrwi
D11.2: System Software and Application Development Environments
2014
Zenodo
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.
by the prototypes; and evaluating parallel programming environments and system management tools for novel computing platforms. ...
This deliverable summarizes the work associated with task 11.2 "System Software and Programming Environments" in the PRACE-2IP Work Package 11 "Prototyping". ...
by the prototypes; and evaluating parallel programming environments and system management tools for novel computing platforms. ...
doi:10.5281/zenodo.6572437
fatcat:3wkxka6nifa7vgrc723efbrsdi
Confidential Machine Learning Computation in Untrusted Environments: A Systems Security Perspective
2021
IEEE Access
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.
ML security requirements, and discusses related engineering challenges. ...
In the domain of systems security, many endeavors have been made to ensure ML model and data confidentiality. ...
[73] discusses both systemic challenges and algorithmic challenges of data protection in general AI services. ...
doi:10.1109/access.2021.3136889
fatcat:scrytvepkjafxblcqg3gjk5vqu
Column-oriented database systems
2009
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 2009; you can also visit the original URL.
The file type is application/pdf.
In this tutorial, we present an overview of column-oriented database system technology and address these and other related questions. ...
database systems that store entire records (rows) one after the other. ...
, and Kickfire. ...
doi:10.14778/1687553.1687625
fatcat:m3syf3ey3jallpfglid7jdpsw4
Practice of Streaming Processing of Dynamic Graphs: Concepts, Models, and Systems
[article]
2021
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 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
of updates, and graph databases. ...
We also outline graph streaming workloads and research challenges. ...
We thank PRODYNA AG (Darko Križić, Jens Nixdorf, and Christoph K örner) for generous support, and anonymous reviewers for comments that helped to significantly enhance the paper quality. ...
arXiv:1912.12740v4
fatcat:no647uyvbzgnvpdpmmmoxao2xm
Mars: Accelerating MapReduce with Graphics Processors
2011
IEEE Transactions on Parallel and Distributed Systems
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 2016; you can also visit the original URL.
The file type is application/pdf.
We design and implement Mars, a MapReduce runtime system accelerated with graphics processing units (GPUs). ...
Furthermore, we integrated Mars into Hadoop, an open-source CPU-based MapReduce system. ...
Mars is applicable to run on NVIDIA GPUs, AMD GPUs, multicore CPUs, and Hadoop-based distributed systems. ...
doi:10.1109/tpds.2010.158
fatcat:jujobztayrdmhatx5sy36ulzai
State-of-the-Art on Query Transaction Processing Acceleration
[article]
2019
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.
We describe some key properties, typical challenges of GPU-aware database architectures, and identify major open challenges. ...
In this Internal Technical Report, based on the [1] and some other research papers, we identify possible research areas at LIP6 for GPU-accelerated database management systems. ...
Currently, two major frameworks are used for programming GPUs to accelerate database systems, namely the Compute Unified Device Architecture (CUDA) and the Open Compute Language (OpenCL). ...
arXiv:1907.00050v1
fatcat:b4xqerhjn5gbpbx3awe6gwrym4
Research on food safety sampling inspection system based on deep learning
2021
Food Science and 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 2022; you can also visit the original URL.
The file type is application/pdf.
Each study looked at the particular challenges, datasets, preprocessing techniques, networks and systems used, the efficiency achieved, and comparisons with other common solutions. ...
aquatic commodity quality detection, food supply chain, and food pollution. ...
GPUs are extremely costly, as are the processors and other hardware needed for computational acceleration. ...
doi:10.1590/fst.29121
fatcat:xvbmy5f34jhenifjegplwms4bu
Challenges in Simulating Communication Systems
2022
SIGSIM Conference on Principles of Advanced Discrete Simulation
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.
In this paper we review some of these developments and point to the novel challenges they pose for the simulators themselves. ...
One of the earliest technical application areas for discrete simulation has been communication systems and networks. ...
cores to GPUs/accelerators, and disaggregating GPUS from the CPUS, which means locating GPUs on external nodes as a service, similar to file system provisioning, rather than on-node as a dedicated resource ...
doi:10.1145/3518997.3534120
fatcat:ijaghtp4kbdshd3zjxjp6h375e
« Previous
Showing results 1 — 15 out of 3,698 results