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Project Night-King: Improving the performance of big data analytics using Near Data Computing Architectures
KTH, School of Information and Communication Technology (ICT), Software and Computer systems, SCS.
2017 (English)Other (Other (popular science, discussion, etc.)) [Artistic work]
Abstract [en]

The goal of Project Night-King is to improve the single-node performance of scale-out big data processing frameworks like Apache Spark using programmable accelerators near DRAM and NVRAM. Using modeling techniques, we estimate the lower bound of 5x performance improvement for Spark MLlib workloads.

Place, publisher, year, pages
2017. , 1 p.
Keyword [en]
Near Data Processing Architecture, Apache Spark, In-Storage Processing, Processing-in-Memory
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-216962OAI: oai:DiVA.org:kth-216962DiVA: diva2:1152657
Note

QC 20171031

Available from: 2017-10-25 Created: 2017-10-25 Last updated: 2017-10-31Bibliographically approved

Open Access in DiVA

fulltext(1721 kB)6 downloads
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File name FULLTEXT01.pdfFile size 1721 kBChecksum SHA-512
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Type fulltextMimetype application/pdf

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Awan, Ahsan Javed
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Output format
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