Deliverables

Author: GLIGOROV Vladimir
Contributors: GRATADOUR Damien, Girone Maria, Neufeld Niko, TOLLEY Emma, XANDRI Bernat, BROEKEMA Chris

This document outlines a converged science program between the LHCb experiment at CERN and the Square Kilometre Array Observatory (SKAO), focusing on the search for Dark Matter. It details how both facilities face similar extreme data processing challenges due to the unprecedented volume of data generated, requiring real-time processing and efficient data management. The paper highlights the potential for knowledge and methodological transfer between the two distinct scientific communities, proposing the sharing of simulated data samples and the development of modular, interoperable software components to maximize their scientific output and efficiently address the persistent mystery of Dark Matter.

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This document outlines the initial specifications for software composability within the ODISSEE project, aiming to enhance data-intensive solutions for science. It details two primary use cases: radio-astronomy with SKAO and high-energy physics with LHCb, describing their data processing, transport, and emulation needs. The report explores various hardware technologies like CPUs, GPUs, FPGAs, and DPUs that will be leveraged, emphasizing the importance of flexible and scalable workflows. Finally, it introduces the ODISSEE Composability Specifications (OCS), a component model designed to simplify the assembly and interoperability of software components for complex scientific applications.

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This document describes the hardware proof of concept system developed for the ODISSEE project, based on primarily European digital IP. The goal of the hardware proof of concept is to demonstrate the ability to both design and utilise a cost-effective and suitable hardware system for both radio astronomy and high-energy physics applications that is both fit for purpose and efficient compared to the current state of the art.

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This document reports on an initial assessment of the power and performance characteristics of the computing hardware that will support the ODISSEE project’s data processing needs. On the one hand, we use a suite of microbenchmark applications to
evaluate different performance-related aspects of the hardware. We present initial results from these microbenchmarks obtained on NextSilicon’s Maverick-2 accelerator and on ARM-based multicore CPUs that are similar to SiPearl’s upcoming Rhea
processor.

On the other hand, we describe a methodology for measuring and analysing power and energy consumption, which is mainly based on the Energy Aware Runtime (EAR) software. We report initial energy measurements from relevant portions of the
processing pipelines that underpin radio astronomy and high-energy physics applications.

The work in this document is work in progress. While we well underway setting up procedures and methodologies to measure and model energy consumption of the various novel architectures in the project, we can not yet show many results from this
work.
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Author: MORAGUES Jaume
Contributors: QUINONES Eduardo, ROYUELA ALCAZAR Sara, XANDRI Bernat, Bourramouss el Maach, Ayman

The goal of this document is to describe the best way of ensuring maximum resource usage, while taking into account certain aspects, like sustainability, of data processing pipelines in ODISSEE. In particular, we present the current status of platforms Allen (LHCb) and SKAO (including precursors). We describe possible programming models and tools in order to achieve such performance and finally we describe on which hardware platforms we aim to deploy such software stacks. This report places the relevant pieces (use cases, end users, tools & programming models and hardware) in such a way that it depicts the project’s big picture and so facilitates proper technical decisions which shall lead to the fulfilment of project ODISSEE goals.

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This document provides a high-level overview of the preliminary scalability assessment study for radio-astronomy workflows within the ODISSEE project, specifically focusing on preparations for the Square Kilometre Array Observatory (SKAO). The scalability of a reference radio-interferometry pipeline designed to process massive datasets by converting antenna « visibilities » into scientific images is examined. While the project’s broader goal includes High Energy Physics (LHCb), this report focuses exclusively on radio-astronomy because LHCb workflows are « embarrassingly parallel » and do not require the same type of scalability study

The primary tools assessed include OSKAR (simulator), QuartiCal and KillMS (calibration), and DDFacet (imaging) and individual components of the overall workflow in the context of the work on composability (WP2).

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This deliverable outlines the training strategy defined in Task 6.1 to support the organisation of training sessions for ODISSEE partners. It provides a concise overview of available training opportunities, including classical and advanced HPC training, testbed activities, HPC centre programmes, and specialised events. It also presents the overall approach for delivering training within ODISSEE and introduces an initial use case aimed at generating immediate impact and informing improvements to SLICES-RI, particularly through the specification of training-oriented services.

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This mid-term report captures feedback and recommendations from ODISSEE’s two advisory bodies: the User Committee (representing scientific end-users from SKAO and LHCb) and the Infrastructure Steering Board (representing the 3 large-scale European research infrastructures engaged with the project SKAO, LHC, and SLICES-RI). The document evaluates the alignment of ODISSEE’s progress with user needs, infrastructure requirements, and scientific roadmaps, while identifying gaps, opportunities, and strategic adjustments for the project’s second half (2026–2027).

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This document outlines the quality assurance and the risk management plan for the project and sets out the relevant procedures to be adopted by the consortium. Additional and more specific procedures will be listed and described in the D7.2 & D7.3 on Project Data Management (initial and final version).

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This deliverable provides the Initial project Data Management Plan of the ODISSEE project, describing the comprehensive life cycle of the data to be considered, collected, processed and generated throughout the project.

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The ODISSEE (Online Data Intensive Solutions for Science in the Exabytes Era) project aims to develop more efficient, less energy-intensive and more flexible solutions for processing the deluge of data that will be generated by upcoming planetary research infrastructures such as CERN LHCb and SKAO. To achieve this goal, the project will notably design Prove of Concepts of data stream processing.

An essential step will be the Dissemination, Exploitation, and Communication Plan aimed at guaranteeing a significant uptake of the results. The communications and dissemination activities will target each of the identified stakeholder groups. The stakeholder groups presented in this deliverable reflect and further expand upon the priority target audiences identified during the proposal phase, namely key research infrastructures (e.g. SKA, LHC, SLICES-RI), other data-intensive RIs, the European ICT industry, ICT experts, R&I initiatives, and the general public.

To ensure sufficient result exploitation, the applied methodology will include the creation of relevant content for each stakeholder group and their engagement. Some of the tools that will be used include press releases, mailing, social media, events, and webinars and will lead to the project website to monitor efficiently all the dissemination and communication activities.

Preliminary exploitation measures have been conceived, but feedback from stakeholders and the maturation of the project’s KERs will contribute to the elaboration of the exploitation plan, which will be updated during the next iterations of this document.

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This deliverable, D8.2 “ODISSEE Intermediate Report on Outreach Activities”, presents the communication and dissemination actions implemented during the first reporting period of the project, in line with the strategy defined in D8.1. It assesses how WP8 has supported the visibility, engagement and positioning of ODISSEE within the European research and innovation ecosystem. During this period, ODISSEE established and consolidated its main outreach channels, including the project website, LinkedIn page, open publication channels, webinars, interviews, event communication and video-based materials. These actions have helped raise awareness of the project’s mission: to develop innovative technologies and methodologies to process the
unprecedented volume of scientific data produced by research infrastructures such as CERN’s HL- LHC and SKAO.

Outreach activities have also supported community engagement and collaboration with sister projects and related initiatives, notably through the Open Science Day on Dark Matter at CERN, partner interviews, webinars and participation in scientific and technical events. Monitoring indicators show positive progress, with several initial targets already reached or exceeded.
The next phase will build on these achievements by continuing high-performing outreach formats, strengthening partner amplification, increasing public-facing communication, and progressively shifting towards the targeted dissemination of emerging results and Key Exploitable Results.

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