1
1
mirror of https://github.com/github/semantic.git synced 2024-12-30 02:14:20 +03:00
semantic/weekly/2016-06-06.md
2016-06-06 12:15:08 -04:00

2.2 KiB
Raw Blame History

May 31th, 2016

Agenda

  1. Retrospective on last week:
    • What went well?
    • What was challenging?
    • What did you learn?

What went well?

@robrix:

  • As of this morning were pushing data to graphite.
  • There's a 2 hour window of when data is pulled in to graphite.
  • We have a much more thorough understanding of the shape of the SES problems.

@rewinfrey:

  • Came away with a much more thorough understanding of SES.
  • Pairing with Rob on the profiling issues.

@joshvera

  • Exploring the current productions of tree-sitter output.
  • Got an airbnb for the Mini-Summit.

What was challenging?

@robrix:

  • SES performance has been a problem. Briefly confused into thinking we had solved the problem. Were profiling semantic-diff-tool and running the tests on semantic-diff. If we dont clean semantic-diff-tool then it doesnt know that semantic-diff has been rebuilt and it doesnt try to relink it. Happens specifically when changing branches.
  • SES performance depends on O(n) cost function.

@rewinfrey:

  • Heartbreaking to discover that a huge performance win was a bad build.
  • Felt like it was hard to contribute to the deployment and build process.
  • Do we have a fallback in place in case S3 fails?

@joshvera:

  • Error productions from tree-sitter are difficult to debug and obscure diff summary output.
  • Understanding and communicating how our deployment process works to other people. Maybe this means we need better documentation?

What did you learn?

@robrix:

  • Learning about parallelism because we have large asymptotic factors in SES.
  • Developed a stronger intuition for why cost has to be linear with respect to the size of the diff tree.

@rewinfrey:

  • Learned a lot about profiling in Haskell.
  • Learned how to use Profiteur to visualize the space and time costs for a given computation.
  • Trying to use the Eval monad to parallelize the Minimax algorithm.

@joshvera:

  • Learned about designing CRISPR proteins that can be edited into bacteria to defend against viruses and plasmids.
  • Read up on GHC's Core language in order to understand some of the optimizations GHC performs.

Other Items

  • Mini-Summit plans set for the week of June 20th.
  • Rob on vacation starting Tuesday June 7th! 😎