SerPyTor: A distributed context-aware computational graph execution framework for durable execution

Autor: Roy, Anuran, S, Sridhar Raj
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: Distributed computation is always a tricky topic to deal with, especially in context of various requirements in various scenarios. A popular solution is to use Apache Spark with a setup of multiple systems forming a cluster. However, the prerequisite setup for a Spark cluster often induces an additional overhead, often limiting usage in constrained scenarios, especially in scenarios requiring context propagation. In this paper, we explore a relatively lightweight computational graph execution framework requiring little setup and fast speeds, coupled with context awareness.
Comment: 5 pages, 2 figures
Databáze: arXiv