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GPU-Accelerated Database Systems: Survey and Open Challenges [chapter]

Sebastian Breß, Max Heimel, Norbert Siegmund, Ladjel Bellatreche, Gunter Saake
2014 Lecture Notes in Computer Science  
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]

Lucas C. Villa Real, Bruno Silva
2018 arXiv   pre-print
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

Zohreh Sanaei, Saeid Abolfazli, Abdullah Gani, Rajkumar Buyya
2014 IEEE Communications Surveys and Tutorials  
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

Philippos Papaphilippou, Wayne Luk
2018 2018 28th International Conference on Field Programmable Logic and Applications (FPL)  
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

Pawel Drozdowski, Christian Rathgeb, Christoph Busch
2019 IET Biometrics  
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

Rafika Thabet, Ramzi Mahmoudi, Mohamed Hedi Bedoui
2014 International Image Processing, Applications and Systems Conference  
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]

Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee
2021 arXiv   pre-print
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

Jerry Eriksson, Radoslaw Januszewski, Olli-Pekka Lehto, Carlo Cavazzoni, Thorsten Wilde, Jeanette Wilde
2014 Zenodo  
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

Kha Dinh Duy, Taehyun Noh, Siwon Huh, Hojoon Lee
2021 IEEE Access  
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

Daniel J. Abadi, Peter A. Boncz, Stavros Harizopoulos
2009 Proceedings of the VLDB Endowment  
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]

Maciej Besta, Marc Fischer, Vasiliki Kalavri, Michael Kapralov, Torsten Hoefler
2021 arXiv   pre-print
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

Wenbin Fang, Bingsheng He, Qiong Luo, Naga K. Govindaraju
2011 IEEE Transactions on Parallel and Distributed Systems  
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]

Bernd Amann, Youry Khmelevsky, Gaetan Hains
2019 arXiv   pre-print
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

Tzu-Chia CHEN, Shu-Yan YU
2021 Food Science and Technology  
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

Peter Barnes
2022 SIGSIM Conference on Principles of Advanced Discrete Simulation  
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
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