Cross-Institutional Open-source Collaborative for NASA's Multi-Mission Algorithm and Analysis Platform (MAAP) High-End Computing (HEC) and Amazon Web Services (AWS) Development, Integration and Deployment(NPO-52250-1)

The MAAP development team will develop extensions to the MAAP to enable deployment of analysis requests across both AWS and NASA HECC systems (such as Pleiades). The development team will then leverage existing NASA efforts that have already begun enabling these capabilities and adapt them for MAAP use. These include investments in connecting on-premise HECC to AWS infrastructure and existing AIST efforts that are developing AWS and Pleiades interoperability for MAAP-like approaches with Jupyer-based notebook front ends. The development team will also demonstrate how biomass analysis can be optimized by exploiting the rapid agility of analysis in AWS while dispatching less time-sensitive bulk analysis to run on lower-cost NASA HECC platforms. Without this capability, users would have to understand the complex nuances of porting science analysis onto NASA HECC vs running in AWS cloud. This capability would enable users to run on both systems via their Jupyter science notebook interface without the need to become experts in AWS and NASA HECC. The development team will also continue the open science approach of enabling algorithm development and analysis to run across cloud and HECC platforms to foster broader exploitation of NASA compute capabilities and investments. This effort will continue MAAP's vision of development collaboration, currently utilizing teams at JPL, MSFC, and UMD and now with key staff at ARC under the NAS Division. The development team will also work with the MAAP UWG to extend the analysis use cases to those that naturally fit well with processing on NASA HECC. Unlike existing efforts on NASA HECC that are native to HPC platforms, we will extend the MAAP cloud-native approach of Jupyter science notebooks running in AWS to also run seamlessly across to NASA HECC.