• Lots of great progress on DS3. Fantastic progress, we're entering the home stretch for that.
  
• The discord server has bots for posting when new forum threads are created and monitoring
  
• No updates on Gridcoin support.
  
• Reminder: the MLC client is open source, and has an issues list at gitlab. If you're a programmer of data scientist and want to help, feel free to look over the issues and submit a pull request.
  

Project status snapshot:
(note these numbers are approximations)






Last week's TWIM Notes: Mar 23 2021

Thanks again to all our volunteers!

-- The MLC@Home Admins(s)
Homepage: https://www.mlcathome.org/
Discord invite: https://discord.gg/BdE4PGpX2y
Twitter: @MLCHome2

<core_client_version>7.2.42</core_client_version>
<![CDATA[
<message>
app_version download error: couldn't get input files:
<file_xfer_error>
  <file_name>libcudnn_adv_train.so.8-pt17cuda102000</file_name>
  <error_code>-200 (wrong size)</error_code>
</file_xfer_error>

</message>
]]>

• Upgrade to PyTorch v1.8
  
• DS4 support! .. Our first CNN networks.
  
• ROCm upgrade to 4.0/4.0.1 (polaris support)
  
• Re-examine GPU performance/utilization
  
• Static linking for at least the CPU client (maybe GPU too).. dropping appimage requirement. This may not be possible, but would be a nice benefit of moving to PyTorch v1.8
  

The big driving feature is DS4 model support. The data is ready to be crunched, but the model needs to be included in the client and tested.

Other News

• If you'd like to request one of the larger datasets, for the moment please contact us privately and we'll provide a download link. That's the best compromise position until we have a better option.
  
• We appreciate the feedback on Gridcoin from our last update. We're continuing to address technical hurdles on our side which we consider a requirement for gridcoin, but will also help the robustness of the project overall.
  
• We're looking for interesting examples of problems that can be solved with small to medium feed-forward networks for a potential DS5. We could do MNIST, but perhaps something a bit more interesting would be more fun. Its very obvious that the first comment we'll get on the paper is "why did you use RNNs?", so we'd like to head that off early.
  
• Reminder: the MLC client is open source, and has an issues list at gitlab. If you're a programmer of data scientist and want to help, feel free to look over the issues and submit a pull request.
  

Project status snapshot:
(note these numbers are approximations)






Last week's TWIM Notes: Feb 23 2021

Thanks again to all our volunteers!

-- The MLC@Home Admins(s)
Homepage: https://www.mlcathome.org/
Twitter: @MLCHome2

• DS4 remains on hold until after the paper is finished.
  
• We're discussing internally allowing Gridcoin to whitelist this project. If the MLC community has strong opinions either way, please post them below. There are still one or two things that we want to change before that either way, but the list of technical barriers on our side is almost empty.
  
• Reminder: the MLC client is open source, and has an issues list at gitlab. If you're a programmer of data scientist and want to help, feel free to look over the issues and submit a pull request.
  

Project status snapshot:
(note these numbers are approximations)






Last week's TWIM Notes: Feb 8 2021

Thanks again to all our volunteers!

-- The MLC@Home Admins(s)
Homepage: https://www.mlcathome.org/
Twitter: @MLCHome2

• Lots of great work on a paper; stay tuned to the twitter account for some graphs and tables over the next week.
  
• Building the dataset archive takes a long time, because of the large number of files, and xz compression is not exactly fast. So DS3-500 and DS3-1000 might take a little while compress/upload.
  

Project status snapshot:
(note these numbers are approximations)






Last week's TWIM Notes: Feb 1 2021

Thanks again to all our volunteers!

-- The MLC@Home Admins(s)
Homepage: https://www.mlcathome.org/
Twitter: @MLCHome2