MIddleware for Data-Intensive Analytics and Science (MIDAS)

Middleware for Data-Intensive Analytics and Science (MIDAS) will support new programming and execution models for data-intensive analysis in a wide range of science and engineering applications.

The long term science objective of MIDAS is to provide a scalable runtime system and appropriate resource management abstractions enabling SPIDAL libraries. MIDAS will be responsible for the underlying resource management middleware and heterogeneous infrastructure access layer which will support streaming based applications to also exploit SPIDAL libraries to work efficiently across application types, over a range of resources.

MIDAS Github Repository
NSF Award