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Comparison of MPI and Spark for Data Science Applications
IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, 2020Data 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
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SWRL Parallel Reasoning Method with Spark SQL
International Conference on Interaction Sciences, 2019With 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, 2015Michael Armbrust +10 more
semanticscholar +1 more source
Accelerating Apache Spark with FPGAs
Concurrency and Computation, 2019Ehsan 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, 2016Alexandros Baltas +2 more
semanticscholar +1 more source
The language of chromatin modification in human cancers
Nature Reviews Cancer, 2021Shuai Zhao +2 more
exaly
Evolutionary-scale prediction of atomic-level protein structure with a language model
Science, 2023, , Roshan Rao
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), 2016Ehsan Ghasemi, P. Chow
semanticscholar +2 more sources
Practical Application of SPARK to OpenUxAS
World Congress on Formal Methods, 2019M. Aiello +4 more
semanticscholar +1 more source

