Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Filippo Schiavio"'
Publikováno v:
The VLDB Journal.
Language-integrated query (LINQ) frameworks offer a convenient programming abstraction for processing in-memory collections of data, allowing developers to concisely express declarative queries using popular programming languages. Existing LINQ frame
Publikováno v:
Proceedings of the 21st ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences.
Publikováno v:
Proceedings of the VLDB Endowment. 14:1414-1426
Language-integrated query (LINQ) frameworks offer a convenient programming abstraction for processing in-memory collections of data, allowing developers to concisely express declarative queries using general-purpose programming languages. Existing LI
Publikováno v:
Proceedings of the VLDB Endowment. 13:754-767
Big-data systems have gained significant momentum, and Apache Spark is becoming a de-facto standard for modern data analytics. Spark relies on SQL query compilation to optimize the execution performance of analytical workloads on a variety of data so
Publikováno v:
2022 26th International Conference on Engineering of Complex Computer Systems (ICECCS).
Publikováno v:
Euro-Par 2022: Parallel Processing ISBN: 9783031125966
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a57c6335d8fbe841297e357c05f8b467
https://doi.org/10.1007/978-3-031-12597-3_3
https://doi.org/10.1007/978-3-031-12597-3_3
Publikováno v:
Programming
Big-data systems have gained significant momentum, and Apache Spark is becoming a de-facto standard for modern data analytics. Spark relies on code generation to optimize the execution performance of SQL queries on a variety of data sources. Despite
Publikováno v:
SAC
Node.js has become one of the most popular frameworks for general-purpose and server-side application development in JavaScript. However, due to its dynamic, asynchronous, event-driven programming model, Node.js applications are considered error-pron
Publikováno v:
Programming
Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallel