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Identifying the pot...
Identifying the potential of Near Data Processing for Apache Spark
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- Javed Awan, Ahsan, 1988- (author)
- KTH,Programvaruteknik och Datorsystem, SCS
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- Ohara, Moriyoshi (author)
- IBM Research Tokyo, Japan
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- Ayguade, Eduard (author)
- Barcelona Super Computing Center, Spain
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- Ishizaki, Kazauki (author)
- IBM Research Tokyo, Japan
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- Brorsson, Mats, 1962- (author)
- KTH,Programvaruteknik och Datorsystem, SCS
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- Vlassov, Vladimir, 1957- (author)
- KTH,Programvaruteknik och Datorsystem, SCS
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(creator_code:org_t)
- 2017-10-02
- 2017
- English.
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In: Proceedings of the International Symposium on Memory Systems, MEMSYS 2017. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 60-67
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https://kth.diva-por... (primary) (Raw object)
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http://kth.diva-port...
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https://doi.org/10.1...
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Abstract
Subject headings
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- While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, batch and stream data processing. There is also a renewed interest in Near Data Processing (NDP) due to technological advancement in the last decade. However, it is not known if NDP architectures can improve the performance of big data processing frameworks such as Apache Spark. In this paper, we build the case of NDP architecture comprising programmable logic based hybrid 2D integrated processing-in-memory and instorage processing for Apache Spark, by extensive profiling of Apache Spark based workloads on Ivy Bridge Server.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering (hsv//eng)
Keyword
- Processing-in-memory
- In-storage Processing
- Apache Spark
- Informations- och kommunikationsteknik
- Information and Communication Technology
Publication and Content Type
- ref (subject category)
- kon (subject category)
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