• Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Aristotelis Vontzalidis, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu: “DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines.” (Conference on Innovative Data Systems Research, CIDR, 2022) [Reproducibility Scripts for Daphne CIDR2022 Submission]






Winter 2021/2022

DAPHNE D3.2 Compiler Prototype

This document shares a snapshot of this prototype, and describes an example scenario of running regression (and similarly classification, clustering, dimensionality reduction, and graph processing) algorithms on real datasets. The initial open source release of the DAPHNE prototype system is planned for end of March 2022.

D1.3 First Annual Project Report

This report summarizes the work carried out throughout the first year of the Daphne project, as well as the progress and initial results obtained so far. In detail, we share the overall work and progress towards the objectives, status of groups of work packages, and impact.
Additionally, this report also includes an update of the exploitation and dissemination plan, as well as the research data management plan.

D4.1 DSL Runtime Design

In this report the initial design of the Daphne runtime system and its prototype implementation are addressed. Moreover, the support for distribution primitives and the integration with existing frameworks are outlined.

D5.1 Scheduler Design for Pipelines and Tasks

This report describes the Daphne system based scheduling context and decisions as well as the preliminary design of the Daphne scheduler for pipelines and tasks.

D6.1 Computational Storage Capabilities

This report explains how compute and storage interact within storage devices and across a cluster, examining  the recent evolutions in storage architectures and programming abstractions.

Summer 2021

D2.1 Initial System Architecture

This report on the initial system architecture summarizes the preliminary design of the Daphne system infrastructure.

D8.1 Initial Pipeline Definition of all Use Cases

This report describes the five use case pipelines of earth observation, semiconductor manufacturing, material degradation and automotive vehicle development, whereas one is focussing on ejector geometry observation and the latter on virtual prototype development.