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PcPerf bot

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  1. RT @drGregBowman: Topping off a great #InaugurationDay by getting the #COVID19 #vaccine. What a hope inspiring day! Hope everyone else will also get #vaccinated at their earliest opportunity. (Feed generated with FetchRSS) Afficher l’article complet
  2. RT @foldingathome: Join all of us at FAH and @Schwarzenegger in saying 'hasta la vista baby!' to #COVID19 as we get the #vaccine! https://twitter.com/Schwarzenegger/status/1351973032953188352 (Feed generated with FetchRSS) Afficher l’article complet
  3. A, l’épidémie de #COVID19 a incité de nombreuses personnes à participer à F@H pour essayer à leur niveau de lutter contre la pandémie B, les participants à F@H, on peut voir que la France est plutôt bien représentée C, comparaison entre les 10 plus gros supercalculateurs et F@H (Feed generated with FetchRSS) Afficher l’article complet
  4. RT @foldingathome: @nvidia We have analyzed our dataset (capturing 0.1 seconds of simulation, the largest in history!) to identify over 50 novel pockets across many #COVID19 proteins! These “cryptic pockets” are candidates for targeting with antivirals. (Feed generated with FetchRSS) Afficher l’article complet
  5. RT @drGregBowman: My 4-year-old: Dada, I don't like the bug (#coronavirus)! When will it go away?😿😿😿 Me: I don't know, but all of my science friends are working hard to make it go away. (Feed generated with FetchRSS) Afficher l’article complet
  6. RT @foldingathome: To end #FAHPockets week, we feature the #COVID19 Nucleoprotein with bonus soundtrack (SOUND ON for the full effect). This video highlights how F@h data helps us identify more than cryptic pockets, we use it to find conformations and states that might tell us how a protein works! https://t.co/L3PwlH01gM (Feed generated with FetchRSS) Afficher l’article complet
  7. RT @drGregBowman: Great progress capturing how the ferocious #COVID19 #Demogorgon (aka spike) opens its mouth to grab its human prey. Each step could present new therapeutic opportunities. Thanks to @foldingathome @Microsoft @Azure #AIforHealth @Mizimmer90! https://t.co/uys4es7r3i (Feed generated with FetchRSS) Afficher l’article complet
  8. RT @foldingathome: Hooray for more #FAHPockets! Today we present a pocket found in the NSP13 helicase (spheres): https://t.co/4GJ1ddcHZY (Feed generated with FetchRSS) Afficher l’article complet
  9. The best diagram of the #SARSCoV2 virus sucker, with its protein components, that I've seen Link to come later from accompanying @NEJM essaypic.twitter.com/7P2r9QjrL6 Afficher sur Twitter
  10. Global organization @FoldingatHome is researching #COVID19 proteins that could help with designing therapeutics. This AI for Health grantee harnesses the collected power of millions of volunteers through Azure and GitHub. #MSBuildpic.twitter.com/f6c2XHqOg7 Afficher sur Twitter
  11. Excited to share that we are studying SARS-CoV-2 Spike protein dynamics and its perturbations (if any) upon mutation. Thanks @bradyajohnston for a great illustration of our work! @FatihiSaman @Surabhi_CSB @deep_anshi @NidhiJatana A thread to explain our recent findingspic.twitter.com/Lgg0YLVIRG Afficher sur Twitter
  12. One of the @drGregBowman lab’s go-to analyses for analyzing F@h trajectories is called Exposons! In this edition of #FAHPastSuccesses Porter and Moeder et al combined F@h data with experimental measurements to demonstrate the existence of a new pocket in beta-lactamase!pic.twitter.com/gRqs6hWcUi Afficher sur Twitter
  13. Today’s #FAHMeetTheProteins features the Nucleoprotein RNA binding domain! https://www.biorxiv.org/content/10.1101/2020.03.06.977876v1.full …pic.twitter.com/CMkgn7jUWk Afficher sur Twitter
  14. A lot of you have been eager for more work units, so we wanted to give you an overview of our process and a status update. We’re working hard to get more work servers up and running in response to our rapid growth in users. Stay tuned!pic.twitter.com/860T3z0jVb Afficher sur Twitter
  15. We want to let you all know what proteins we are simulating, what they do, and what we hope to learn from these studies! We’ll call it #FAHMeetTheProteins Today’s protein is nsp10 from SARS and SARS-CoV2 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162180/ …pic.twitter.com/8xyM5rlEGK Afficher l’article complet
  16. The F@h team is working hard to generate as many new #COVID19 WUs as possible. In the meantime you may get a WU for another disease, and that’s okay! We care very deeply about addressing our current global health threat, but we also care about preventing future ones. Afficher l’article complet
  17. Envie d'aider la recherche contre le Coronavirus grâce à votre ordinateur ? Rejoignez le projet Folding at Home simplement en installant un logiciel sur votre ordinateur. Plus de renseignement sur https://alliancefrancophone.org/dossiers/covid19 … Afficher l’article complet
  18. With our new web site, we want to unify all of our web assets under the same url and same look (as much as possible). So, we've moved our blog to http://folding.stanford.edu/home/blog For now, we'll keep the old blog here, but we've moved the old posts, so eventually this site will go away as well. Voir l'article complet
  19. Looks like everything is up, except for a single server (VSP07) and its VM's associated with it. This server is serving Core11 GPU clients, so those are off line at the moment. Our sysadmins are working on this now. Voir l'article complet
  20. The networking seems to be up, but there are a few issues. They've got something basic going now and will resolve the remaining issues in the morning. We are running a stats update right now. Voir l'article complet
  21. Looks like the servers are up and healthy, but there is an issue with the networking which central IT is working on. For now, we are in a holding pattern until the networking has been resolved. Voir l'article complet
  22. The maintenance is moving along, but certain key machines are down during the move, most notably the main AS, GPU AS, and some key stats systems. We expect the maintenance to be completed in an hour or two. Voir l'article complet
  23. One aspect which has dominated FAH for a decade is the continual push for new scientific approaches. This manifests itself in terms of new scientific cores. For example, the new GPU core (Core17) has brought huge speed improvements (especially to AMD GPUs) and involved a complete rewrite. A negative consequence of this continuous push for improvement and progress is that newer cores often are restricted to more advanced hardware. To help utilize as much power as is available to FAH, we tend to continue projects with older cores, but eventually, the science they can do becomes too limiting, and we must retire them. This is the eventual fate for all cores, but is most certainly an issue sooner for certain cores, especially cores11 and 78. While we don't have any specific end dates for either, we'd like to remind donors that those cores are reaching "end of life" status, and when they are retired, certain older hardware (eg CPUs that don't support SSE2 or older GPUs) won't be supported by FAH. The bottom line is that we're working to delay that as long as possible, but this post is a heads up that our support of those cores won't last a lot longer. If I had to guess, I'd say probably within a year or so they would be retired, maybe 2 years if the existing projects need additional data. As always, we'll give donors more information as we know it and try to give a more specific end date when we know it. Voir l'article complet
  24. We will be moving many key Folding@home servers on Monday August 26. While much of FAH will be up, certain key systems will be down for a few hours starting in the morning (pacific time) of Monday August 26. We'll give more updates as we move along on Monday. Voir l'article complet
  25. Our primary goal with benchmarking is "equal points for equal work." However, making this process consistent over lots of different types of WUs and different types of hardware is tricky. We had an internal discussion about the PPD for two projects (7810 and 8900) recently and we thought donors might find these details interesting. We were working to rebalance the points to make the PPD consistent, but just doing that over the wide range of hardware is difficult. Check out the graph below which shows the PPD on the y-axis and donor GPUs sorted along the x-axis by typical PPD. The dark line shows averages and the gray area shows error bars (variation between WUs for a given project on the same GPU type). What we see is that our protocol balanced the PPD on the low end, but on the high there is both bigger variation (more shaded areas) and also bigger differences on the very highest power GPUs. In these situations, we usually go with our protocols, but this time, given all the analysis we did on it, I thought it would be interesting for donors to see these sorts of details. It's these sorts of variations which leads to PPD fluctuations, so perhaps the main lesson here is that even with our protocols and plans, it's really hard to be consistent over all the different hardware, even when we're talking about just GPUs and just 2 projects. Voir l'article complet
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