DASYA part of DAPHNE project
The DAPHNE project focuses on Integrated Data Analysis Pipelines for Large-Scale Data Management, HPC and Machine Learning. It aims to define and build an open and extensible system infrastructure for integrated data analysis pipelines, including data management and processing, high-performance computing (HPC), and machine learning (ML) training and scoring. Key observations are that (1) systems of these areas share many compilation and runtime techniques, (2) there is a trend towards complex data analysis pipelines that combine these systems, and (3) the used, increasingly heterogeneous, hardware infrastructure converges as well.
We are leading the workpackage on Computational Storage together with TU Dresden, Intel and DLR, and we are involved in tasks related to scheduling and efficient I/Os.