Event owner lens
Use this record to benchmark whether a comparable event makes the work after the room visible. The score is 45/100, so the next move is to benchmark the weakest pillars before repeating the format.
applied learning or working session agenda analysis
Cheops Workshop 2025
This applied learning or working session in Technology / AI / Startup shows 30 visible agenda rows from cheops-workshop.github.io and scores 45/100: a moderate design signal with incomplete evidence. The clearest public signals sit in Future-of-Work Fit and Participation Architecture; the main limits are Follow Through and Network Design. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The public record does not show follow-up or tracking, so the score should be read... A practical reading: For a reader, this is a comparison record more than a model to copy: it reads as an applied learning or working session, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence. This page is an original public-evidence analysis, not a copy of the source agenda or an endorsement of the event. The score places the visible agenda in the moderate design signal band. The strongest visible pillars are Future-of-Work Fit, Participation Architecture, and Learning Transfer; the thinnest visible pillars are Follow Through, Network Design, and Personalization. Visible mechanisms include Participant work, Feedback, Network design, and Learning transfer. The extracted agenda preview includes 54 visible rows. The most common formats are Workshop, Presentation, and Unknown; the most common inferred purposes are Knowledge Transfer, Co Creation, and Unknown.
Eight-pillar fingerprint
Hover any pillar to see what it measures and, where it scored low, what the agenda is missing.
Participation Architecture?64
Participation Architecture - 64/100. Participant work, contribution, interaction, and alternatives to passive broadcast.
Follow Through?5
Follow Through - 5/100. Owners, dates, commitments, progress checks, and accountability after the room.Missing: Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
Problem Specificity?58
Problem Specificity - 58/100. A clear costly problem, objective, decision, or performance target.
Personalization?41
Personalization - 41/100. Role, path, goal, preparation, or connection tailoring for participants.Missing: Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Network Design?22
Network Design - 22/100. Structured weak ties, bridge-building, mixers, and relationship persistence.Missing: Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
Learning Transfer?63
Learning Transfer - 63/100. Applied practice, feedback, workplace use, refreshers, and 30-90 day transfer.
Evidence Maturity?45
Evidence Maturity - 45/100. Baseline, comparison, follow-up, isolation, and attribution confidence.
Future-of-Work Fit?76
Future-of-Work Fit - 76/100. Value against time, hybrid reality, accessibility, AI, and meeting load.
Fix the gaps
Field-tested exercises matched to this agenda's weakest pillars, from the exercise library.
Follow Through (5/100)
Exercises that strengthen it: Mental Toughness Workshop • WorkshopBank · 15% Solutions • WorkshopBank · Network Patches
Network Design (22/100)
Exercises that strengthen it: Fun Trust-Building Group Game for Team Connection - Izzat... · Exciting Group Trust Activity for Building Confidence... · PFP: September 2005
Personalization (41/100)
Exercises that strengthen it: Journey Mapping • WorkshopBank · Group Energiser & Perspective-Changing Exercise - Paradigm... · Photo Storytelling
Agenda Preview
The actual agenda we captured. Every block is classified by format and purpose. Open any block to see how we read it; the colored edge shows whether it is participant work, broadcast, logistics, or a showcase.
Room vs wrapper
33 percent of the 54 classified blocks put participants to work; the rest broadcast, show, or handle logistics. That mix is what drives the participation score.
Participant workBroadcastShowcaseLogistics
all eventCHEOPS Workshop at EuroSys 2025WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventWorkshop on Challenges and Opportunities of Efficient and Performant Storage SystemsWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventThe Fifth Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems (CHEOPS'25)WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
8:30-9:00Coffee and RegistrationBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
9:00-9:10Suren Byna CHEOPS WelcomeOpeningOrientation+
Format · BroadcastOpeningFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
9:10-10:00Keynote -Gustavo Alonso (ETH Zurich, Switzerland) Vertically integrated storage systemsKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
10:00-10:30Louis-Marie NICOLAS (Lab-STICC, CNRS UMR 6285, ENSTA, Institut Polytechnique de Paris) , Salim MIMOUNI (Atos BDS R&D Data Management), Philippe COUVEE (Atos BDS R&D Data Management), Jalil BOUKHOBZA (Lab-STICC, CNRS UMR 6285, ENSTA, Institut Polytechnique de...WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
10:30-11:00Coffee breakBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
11:00-11:30Robin Vonk (Delft University of Technology) , Joost Hoozemans (Voltron Data), Zaid Al-Ars (Delft University of Technology) GSST: Parallel string decompression at 191 GB/s on GPU (Paper)PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
11:30-12:00Shadi Ibrahim (Inria, Rennes) , Jad Darrous (Inria, Rennes) Erasure Coding Aware Block Placement for Data-Intensive Applications (Paper)PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:00-12:30Invited talk -Jean-Thomas Acquaviva (DDN Storage) From HPC to AI: A Data JourneyPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
12:30-14:00Lunch breakBreakPacing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisOutcome inferred from formatInferred from format
14:00-14:30Zebin Ren (Vrije Universiteit Amsterdam), Krijn Doekemeijer (Vrije Universiteit Amsterdam), Tiziano De Matteis (Vrije Universiteit Amsterdam), Christian Pinto (IBM Research Europe), Radu Stoica (IBM Research Europe), Animesh Trivedi (IBM Research Europe) An...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
14:30-15:00Invited talk -Yang Zheng (Huawei Technologies) Reliability challenges and opportunities for AI infra: from industry perspectivePresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
15:00-15:30Invited talk -Shadi Ibrahim (Inria, Rennes) Scalable and Efficient Big Data Processing in Clouds: Addressing Performance VariabilityWorkshopKnowledge transfer+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
16:00-16:15Joost Hoozemans (Voltron Data, Delft University of Technology), Robin Vonk (Delft University of Technology), Johan Peltenburg (Voltron Data), Felipe Aramburu (Voltron Data), Zaid Al-Ars (Delft University of Technology) Using GPU Direct Storage with...PresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:15-16:30Pınar Tözün (IT University of Copenhagen) , Karl B. Torp (Samsung Denmark Research Center), Simon A. F. Lund (Samsung Denmark Research Center) A Quest to Reduce Dependency on CPUs in Deep Learning Data PipelinesPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:30-16:50All participants DiscussionPresentationKnowledge transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisNo participant output visible from this rowRead from source, no work signal
16:50-17:00CHEOPS Organizers Closing remarksClosingOrientation+
Format · BroadcastClosingFormat not classified from the source; treated as a broadcast block by default.
Evidence basisNo participant output visible from this rowRead from source, no work signal
18:00-19:30Welcome ReceptionReceptionOrientation+
Format · LogisticsReceptionA social or hospitality block. Pacing and informal connection, not participant work.
Evidence basisOutcome inferred from formatInferred from format
all eventKeynote SpeakerKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventKeynote: Vertically integrated storage systemsKeynoteExpert framing+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisNo participant output visible from this rowRead from source, no work signal
all eventWorkshop DescriptionWorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventWorkshop Date: March 31st, 2025WorkshopParticipant work+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisParticipant work is implied by the formatInferred from format
all eventCHEOPS Workshop at EuroSys 2025WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventWorkshop on Challenges and Opportunities of Efficient and Performant Storage SystemsWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThe Fifth Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems (CHEOPS'25)WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThe workshop will take place in Leeuwen Room I at the Postillion Hotel & Convention Centre WTC Rotterdam, Beursplein 37, 3011 AA Rotterdam, The Netherlands.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
8:30-9:00Coffee and RegistrationBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
9:00-9:10Suren Byna CHEOPS WelcomeOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
9:10-10:00Keynote -Gustavo Alonso (ETH Zurich, Switzerland) Vertically integrated storage systemsKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
10:00-10:30Louis-Marie NICOLAS (Lab-STICC, CNRS UMR 6285, ENSTA, Institut Polytechnique de Paris) , Salim MIMOUNI (Atos BDS R&D Data Management), Philippe COUVEE (Atos BDS R&D Data Management), Jalil BOUKHOBZA (Lab-STICC, CNRS UMR 6285, ENSTA, Institut Polytechnique de Paris) Characterizing the Use of DVFS for HPC I/O Optimization: A Microbenchmarking Approach (Paper)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
10:30-11:00Coffee breakBreakWellbeing+
Format · LogisticsBreakA pacing or recovery block between sessions.
Evidence basisMediumRead from source
11:00-11:30Robin Vonk (Delft University of Technology) , Joost Hoozemans (Voltron Data), Zaid Al-Ars (Delft University of Technology) GSST: Parallel string decompression at 191 GB/s on GPU (Paper)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
11:30-12:00Shadi Ibrahim (Inria, Rennes) , Jad Darrous (Inria, Rennes) Erasure Coding Aware Block Placement for Data-Intensive Applications (Paper)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
12:00-12:30Invited talk -Jean-Thomas Acquaviva (DDN Storage) From HPC to AI: A Data JourneyPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
12:30-14:00Lunch breakMealWellbeing+
Format · LogisticsMealA pacing block. Can carry unstructured networking, not scored as participant work.
Evidence basisMediumRead from source
14:00-14:30Zebin Ren (Vrije Universiteit Amsterdam), Krijn Doekemeijer (Vrije Universiteit Amsterdam), Tiziano De Matteis (Vrije Universiteit Amsterdam), Christian Pinto (IBM Research Europe), Radu Stoica (IBM Research Europe), Animesh Trivedi (IBM Research Europe) An I/O Characterizing Study of Offloading LLM Models and KV Caches to NVMe SSD (Paper)UnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
14:30-15:00Invited talk -Yang Zheng (Huawei Technologies) Reliability challenges and opportunities for AI infra: from industry perspectivePresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
15:00-15:30Invited talk -Shadi Ibrahim (Inria, Rennes) Scalable and Efficient Big Data Processing in Clouds: Addressing Performance VariabilityPresentationKnowledge Transfer+
Format · BroadcastPresentationSpeakers present, the audience receives. Awareness only unless paired with practice or follow-up.
Evidence basisMediumRead from source
16:00-16:15Joost Hoozemans (Voltron Data, Delft University of Technology), Robin Vonk (Delft University of Technology), Johan Peltenburg (Voltron Data), Felipe Aramburu (Voltron Data), Zaid Al-Ars (Delft University of Technology) Using GPU Direct Storage with High-Performance Distributed FilesystemsUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:15-16:30Pınar Tözün (IT University of Copenhagen) , Karl B. Torp (Samsung Denmark Research Center), Simon A. F. Lund (Samsung Denmark Research Center) A Quest to Reduce Dependency on CPUs in Deep Learning Data PipelinesUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:30-16:50All participants DiscussionUnknownUnknown+
Format · BroadcastUnknownFormat not classified from the source; treated as a broadcast block by default.
Evidence basisMediumRead from source
16:50-17:00CHEOPS Organizers Closing remarksClosing RemarksOrientation+
Format · BroadcastClosing RemarksClosing framing from the stage. Wraps the event, not participatory.
Evidence basisMediumRead from source
18:00-19:30Welcome ReceptionOpening RemarksOrientation+
Format · BroadcastOpening RemarksFraming or welcome from the stage. Orients the room, not participatory.
Evidence basisMediumRead from source
all eventKeynote SpeakerKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventKeynote: Vertically integrated storage systemsKeynoteThought Leadership+
Format · BroadcastKeynoteA featured talk from the stage. Builds awareness and energy, produces no participant output on its own.
Evidence basisMediumRead from source
all eventTraining and inference tasks for large models are highly coupled and low-fault-tolerant systems. Distributed training involves frequent communication between nodes, strong dependencies across parallel domains, and requirements for proper computational accuracy. These factors lead to frequent training interruptions due to hardware failures, slow recovery, and fail-slow. Additionally, silent data corruptions can result in model non-convergence. As the scale of training expands, reliability becomes a major bottleneck.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventThe key challenge is to build a highly available AI system architecture capable of supporting scenarios such as training on clusters with hundreds of thousands of cards, inference on super-nodes with hundreds or thousands of cards, and integrated training-inference tasks. Achieving “zero” perception of fault recovery in business operations is essential for ensuring the reliability of large model infrastructures. Addressing these challenges will be critical for advancing the scalability and robustness of AI systems in the future.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventDr. Yang Zheng is a principle Engineer of Reliability Technology Lab of Huawei Technologies Co., Ltd.. Dr Zheng is also currently a member of reliable AI infra project, focus on research on AI Infra testing, monitoring and recovery. Dr Yang Zheng received his PhD degree from Imperial College London in UK. Research interest includes elastic training/inference, silent data corruption.TrainingSkill Building+
Format · Participant workTrainingGuided skill building where participants practice. Counts as participant work and learning transfer.
Evidence basisMediumRead from source
all eventWorkshop DescriptionWorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventThe main objective of this workshop is to discuss state-of-the-art research, innovative ideas and experiences that focus on the design and implementation of storage systems in both academic and industrial worlds.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventWorkshop Date: March 31st, 2025WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
all eventOnly original and novel work not currently under review in other venues will be considered for publication. Submissions can either be full papers (6 pages) or short papers (4 pages). The page count includes the title, text, figures, appendices but excludes the references. They must be submitted electronically as PDF files formatted according to the submission rules of EuroSys. Accepted submissions will have to comply with the EuroSys proceedings format. One author of each accepted paper is required to register for the workshop and present the paper. Extended versions of selected papers will be considered for publication in the ACM SIGOPS Operating Systems Review journal.WorkshopCo Creation+
Format · Participant workWorkshopParticipants work on a problem and produce something. The strongest signal of participation architecture.
Evidence basisMediumRead from source
The Full Reading
Why It Ranks This Way +
Calibrated from GES design 47/100 and verified 45/100, then capped for no visible follow-up, tracking, or impact mechanism.
Reader Takeaway. For a reader, this is a comparison record more than a model to copy: it reads as an applied learning or working session, with the strongest visible signal in future-of-work fit and participation architecture and the biggest open question around follow through and network design. The practical test is whether the published agenda connects the room to post-event continuation and evidence.
Strongest signals: Future-of-Work Fit, Participation Architecture, and Learning Transfer. Weakest signals: Follow Through, Network Design, and Personalization.
How This Agenda Could Improve +
- Add named owners, dates, implementation checkpoints, and a visible post-event continuation path.
- Replace generic networking blocks with designed introductions, ask-offer exchanges, peer groups, or bridge-building rituals.
- Create role-based paths, prepared questions, tailored breakouts, or participant-specific next steps.
Fastest next move: Add named owners, dated next steps, and a visible continuation path before treating the event as outcome-ready.
Role-Specific Reading +
Sponsor lens
Look beyond exposure. Strong sponsor value would show qualified interaction, problem work, buyer learning, customer evidence, or follow-up. The practical sponsor move is to look for structured introductions, buyer-seller fit, and relationship persistence.
Designer lens
The agenda is useful as a pattern sample from cheops-workshop.github.io. Redesign attention should go first to the lowest-scoring pillars; in practice, turn the thinnest agenda blocks into participant work.
Executive lens
Treat the visible agenda as an operating plan. The executive move is to require owners, dates, and evidence before treating the event as strategic. If owners, proof, and follow-through are not visible, the public record does not yet prove strategic movement.
Aggregator lens
Treat the source URL as evidence, not decoration. The data-product move is to label the source boundary clearly before ranking the record before ranking or syndicating the record.
What GES Means Here +
The Gathering Effectiveness Score is a strict 0-100 public-evidence reading of the agenda across eight pillars. It rewards visible participant work, follow-through, transfer, network design, and proof mechanisms more than polish, speaker fame, attendance, or satisfaction.
Visible mechanisms: Participant work, Feedback, Network design, Learning transfer.
Evidence boundary: Scores reflect visible agenda/source evidence and should not be read as proof of causal event impact.
Limitations, Score Caps, and Review Flags +
Limitations
- No visible follow-up, progress monitoring, or longitudinal tracking.
- No baseline measurement is visible.
Score caps
- 42: No visible follow-up, tracking, or impact mechanism.
Review flags
- Fourth-loop score cap: No visible follow-up, tracking, or impact mechanism.
- No source-backed follow-up, validation, baseline, tracking, or impact evidence.
- No tracking, validation, feedback, or impact measurement found in the visible source text.
Is this proof the event worked? +
No. This is a strict public-evidence reading of the agenda. Proof would require baseline, comparison, follow-up, attribution, and impact evidence beyond the listing.
What should a reader inspect first? +
Start with the source URL, then compare the eight pillar scores against the agenda rows. The biggest opportunities usually sit in follow-through, evidence maturity, and participant work.
Why publish weak records? +
Weak records are part of the map. They show where public agendas still describe sessions and speakers more often than outcomes, commitments, transfer, or proof.
How should I use the rows? +
Read the agenda rows as the visible design trace: formats, purposes, and evidence labels show what the public source made inspectable, not everything that happened in the room. This is a source-grounded interpretation of the public agenda record, not a copy of the source, and not an endorsement of the event.
Embed the verified badge +
This record is in the hand-verified gold set. Copy the snippet below to embed the verified badge on your own site.
<a href="https://unitedwetransform.com/events/evt_2025_download_vusec_net_asplos_eurosys_2025_workshops_schedule_export_schedule_j_362ecd"><img src="https://unitedwetransform.com/badge/ges-verified.svg" alt="GES verified by United We Transform" height="40"></a>Where To Go Next
Compare this agenda against other Technology / AI / Startup events scored on the same eight pillars.