[World Community Grid) hitparade van week 42

[KuuKe]

Inhoudsopgave World Community Grid hitparades week 41

• DPC World Community Grid hitparade van 5 oktober 2025 - geen stats
• DPC World Community Grid hitparade van 6 oktober 2025 - geen stats
• DPC World Community Grid hitparade van 7 oktober 2025
• DPC World Community Grid hitparade van 8 oktober 2025
• DPC World Community Grid hitparade van 9 oktober 2025
• DPC World Community Grid hitparade van 10 oktober 2025
• DPC World Community Grid hitparade van 11 oktober 2025

TEAM gegenereerd met: Weektopic TEAM Generator

[DerManiak]

Nou nou, m'n taken zijn vanochtend eindelijk geüpload! In de loop van deze week komen er nieuwe work units aan, dus langzaamaan kunnen we weer gaan grazen.

[OB1]

Mijn taken zijn inderdaad ook geupload, maar ze staan nog wel op 'Ready to report'... dus er is in elk geval iets van voortgang.

[KuuKe]

Update !!

October 7, 2025
We have resolved the issue with the BOINC scheduler configuration causing "Another scheduler instance is running for this host". Users should be able to report tasks. We will update as soon as we begin creating new workunits as we are still working to stand up the rest of the BOINC backend architecture.
Website went down briefly as we brought the scheduler online. We have adjusted the HAProxy configuration, and we will continue to adjust Apache/HAProxy config if we see the website stops responding again.
Still debugging issues with the new Kafka-based validation workflow that works together with HAProxy routing rules to partition BOINC downloads and uploads by assigning servers equal hex buckets using the https://github.com/BOINC/boinc/wiki/DirHierarchy BOINC expects, and emitting events from the new file_upload_handler we wrote to Kafka so we can batch and respond to them in parallel. This removes the need for multiple round trips to the database for row-wise operations and polling, which are now simply batch applications of state after consuming workunits ready for validation in the relevant Kafka topic for that application. This allows us to perform validation and assimilation in the same process, at least for the projects we run ourselves (MCM1, MAM1, ARP1), and while the Kafka/Redpanda learning curve was significant, we have successfully transitioned to an event-driven in-memory partitioned architecture that should let us keep pace with the upcoming GPU enabled MAM1 application.