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This document contains all presentation slides that were presented during the Project Partner webinars, hosted by the UKRI Net Zero DRI Scoping Project team in early 2023. Pages 1-85 show slides for webinar 1.Page 86 onwards are the slides that were presented during webinar 2. Recordings of the webinars can be found here: Webinar 1 -technical and operational challenges Webinar 2 - community and organisational challenges Further details about the webinars: The UKRI Net Zero Digital Research Infrastructure Scoping Project (https://net-zero-dri.ceda.ac.uk/) team hosted two webinars to share the outcomes of work undertaken by our project partners (https://net-zero-dri.ceda.ac.uk/project-activities/). These pieces of work have been undertaken by over 40 researchers from 20 different institutions over the last ~6 months. Both webinars provided an opportunity for the wider research community to engage with and discuss the project outcomes. Webinar 1 covered technical and operational challenges such as: hardware procurement, design and architecture of infrastructure, cloud platforms, consolidation, power management and efficiency, end-of-life, and carbon capture and offsetting. Speakers presented from the following project partners: - CarbonQuanDRI: developing a measurement trace capturing various sustainability aspects in the operation of a DRI service, including dependencies between different indicators (e.g. data flow, power consumption, and carbon intensity) (https://net-zero-dri.ceda.ac.uk/cquandri/) - IRISCAST: auditing energy usage of the IRIS DRI via snap-hot data capture (https://net-zero-dri.ceda.ac.uk/iriscast/) - Energetic: exploring energy-to-solution consumption in High Performance Computing (HPC) (https://net-zero-dri.ceda.ac.uk/energetic/) - HPC-Jeep: informing efficient, environmentally conscientious use of HPC resources – ARCHER2 and DiRAC (https://net-zero-dri.ceda.ac.uk/hpc-jeep/) - Mapping the DRI: collating a representative sample of the DRI using the UKRI InfraPortal (https://net-zero-dri.ceda.ac.uk/mapping/) - Case studies update – detailed analysis for the following infrastructures: JASMIN, Archer2, Jade, Scafell Pike Webinar 2 covered community and organisational challenges such as: user facing services, data management, behaviour change, training, proportionality of energy use, the risks of negative impacts, and monitoring and driving change. Speakers presented from the following project partners: - Arinzrit: mapping the DRI policy and practice landscape (https://net-zero-dri.ceda.ac.uk/arinzrit/) - Value: developing recommendations for evaluating carbon emissions vs output ‘value’ to support UKRI decision-making (https://net-zero-dri.ceda.ac.uk/value/) - Go Zero: empowering the research community to take ownership of Net Zero (https://net-zero-dri.ceda.ac.uk/go-zero/) - DRI User Behaviour Survey: identifying implicit attitudes to environmental sustainability and gathered information about existing sustainable usage of DRI (https://net-zero-dri.ceda.ac.uk/user-behaviour-survey/) - Art to inspire collective action on sustainable digital research infrastructure: the progress so far and how you can get involved (https://net-zero-dri.ceda.ac.uk/art-commission/) &nbsp

Three focus groups were organised as part of a series of activities which enabled the UK community to co-create the proposal for the STFC’s funding call ‘UK Square Kilometre Array (SKA) Regional Centre: 2022’. This report summarises the discussions that were held.

Three focus groups were organised as part of a series of activities which enabled the UK community to co-createthe proposal for the STFC’s funding call ‘UK Square Kilometre Array (SKA) Regional Centre: 2022’. This report summarises the discussions that were held.&nbsp

Traditionally, resources on high performance computing (HPC) services have been granted in units of compute time (core-hours, node-hours, etc.) with users not informed, nor paying much attention to their energy use; and services not generally reporting breakdowns of energy use other than for total electricity charges. Without an understanding of how research areas, projects and users use energy and how efficiently they use resources it is difficult to plan future procurements or service strategies towards a net zero goal.

MOSAIC is the proposed multiple object spectrograph for the E-ELT that will eventually combine two AO observing modes within a single instrument. MOSAIC will contain up to 20 open-loop multiple object AO channels feeding NIR IFUs in addition to up to 200 seeing-limited (or GLAO corrected) VIS – NIR fibre pickoffs. Wavefront tomography will be implemented using a combination of LGS and a few high-order NGS distributed across the field with the wavefront correction applied in a split open/closed loop configuration. MOSAIC will be the only E-ELT instrument planned that can utilize the full 10 arcminute diameter field of view, enabling highly efficient observing modes for this workhorse instrument. Use of the full E-ELT field inevitably requires a closer integration between the telescope control system and the instrument AO systems, however this can bring several potential benefits to overall system performance. Here we present the initial design concept and baseline performance of the MOSAIC instrument and AO system(s) taking advantage of the CANARY on-sky results and inheriting from the previous Phase A study of EAGLE. Finally, we will highlight areas of system performance and calibration that will require further analysis and trade-off during the course of the upcoming Phase A study.

The requirements on the real-time control systems for ELT instruments strongly encourage an investigation of newly emerging hardware and an assessment of its suitability for the job. We have implemented the full AO data processing pipeline on Graphics Processing Units (GPUs), within the framework of Durham AO Real-time Controller (DARC). The pixel data are copied from the CPU memory to the GPU memory. On the GPU, the data are processed and the DM commands are copied back to the CPU. For a system of 80x80 subapertures, the highest rate achieved on a single GPU is 550 frames per second. When running on two or more GPUs, the kernel launching time limits the increase in frame rate. We have also implemented the correlation centroiding algorithm, which - when used - reduces the frame rate by about a factor of two.

The Durham adaptive optics real-time controller was initially a proof of concept design for a generic adaptive optics control system. It has since been developed into a modern and powerful CPU based real-time control system, capable of using hardware acceleration (including FPGAs and GPUs), based primarily around commercial off the shelf hardware. It is powerful enough to be used as the real-time controller for all currently planned 8~m class telescope adaptive optics systems. Here we give details of this controller and the concepts behind it, and report on performance including latency and jitter, which is less than 10~$\mu$s for small adaptive optics systems., Comment: Accepted for publication in applied optics