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Comparison of MPI and Spark for Data Science Applications

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2020
Data Science applications represent a growing fraction of the scientific computing workload, many of them written in Python. The goal of this paper is to compare two popular parallel programming models, namely MPI and Apache Spark for Python based Data ...
M. Saxena   +5 more
semanticscholar   +1 more source

SWRL Parallel Reasoning Method with Spark SQL

International Conference on Interaction Sciences, 2019
With the rapid development of semantic Web and big data technology, ontology data has the characteristics of large scale, high speed growth and diversity which big data has.
Wan Li   +3 more
semanticscholar   +1 more source

Spark SQL: Relational Data Processing in Spark

SIGMOD Conference, 2015
Michael Armbrust   +10 more
semanticscholar   +1 more source

Accelerating Apache Spark with FPGAs

Concurrency and Computation, 2019
Ehsan Ghasemi, P. Chow
semanticscholar   +1 more source

An Apache Spark Implementation for Sentiment Analysis on Twitter Data

International Workshop on Algorithmic Aspects of Cloud Computing, 2016
Alexandros Baltas   +2 more
semanticscholar   +1 more source

Survey of Hallucination in Natural Language Generation

ACM Computing Surveys, 2023
Ziwei Ji
exaly  

The language of chromatin modification in human cancers

Nature Reviews Cancer, 2021
Shuai Zhao   +2 more
exaly  

Accelerating Apache Spark Big Data Analysis with FPGAs

2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), 2016
Ehsan Ghasemi, P. Chow
semanticscholar   +2 more sources

Practical Application of SPARK to OpenUxAS

World Congress on Formal Methods, 2019
M. Aiello   +4 more
semanticscholar   +1 more source

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