Laminar: a new serverless stream-based framework with semantic code search and code completion
Abstract
This paper introduces Laminar, a novel serverless framework based on dispel4py, a parallel stream-based dataflow library. Laminar efficiently manages streaming workflows and components through a dedicated registry, offering a seamless serverless experience. Leveraging large language models, Laminar enhances the framework with semantic code search, code summarization, and code completion. This contribution enhances serverless computing by simplifying the execution of streaming computations, managing data streams more efficiently, and offering a valuable tool for both researchers and practitioners.
Citation
Zahra , Z , Li , Z & Filgueira , R 2023 , Laminar: a new serverless stream-based framework with semantic code search and code completion . in Proceedings of the SC '23 workshops of the international conference on high performance computing, network, storage, and analysis (SC-W '23) : Nov 12-17, 2023 | Denver, CO . ACM , pp. 2009–2020 , 18th Workshop on Workflows in Support of Large-Scale Science (WORKS 2023) , Denver , Colorado , United States , 12/11/23 . https://doi.org/10.1145/3624062.3624280 conference
Publication
Proceedings of the SC '23 workshops of the international conference on high performance computing, network, storage, and analysis (SC-W '23)
Type
Conference item
Collections
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