Mashup: making serverless computing useful for hpc workflows via hybrid execution
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
Runtime vs scheduler: analyzing dask's overheads
Dask is a distributed task framework which is commonly used by data scientists to parallelize
Python code on computing clusters with little programming effort. It uses a sophisticated …
Python code on computing clusters with little programming effort. It uses a sophisticated …
[PDF][PDF] Mashup: Making Serverless Computing Useful for HPC Workflows via Hybrid Execution
R Basu Roy, T Patel, V Gadepally, D Tiwari - 2022 - dspace.mit.edu
This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …