The Machine That Builds Itself: The Strengths of the Lisp Languages (2016)

Re:The Machine That Builds Itself: The Strengths of the Lisp... by dorfsmay on Monday July 02, 2018 @10:03AM (#17441688)

My concerns about the JVM aren't so much CPU, but memory usage and ease of distribution. Those two factors have, IMO, helped take golang where it is today. Today you cannot run your Clojure apps on a small 250 MB VM, and distributing it means getting the right version of the JVM, the right libraries etc...

I don't know how Graal will handle those two issues, it'll be interesting to watch.

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Re:The Machine That Builds Itself: The Strengths of the Lisp... by fnordsensei on Monday July 02, 2018 @11:36AM (#17442555)

I found this pretty interesting: https://medium.com/criciumadev/serverless-native-java-functi...

Single data point, but nevertheless.

Cold Execution Times:

  Java Function -> 660 ms
  Native Java Function -> 460 ms
  Go Function -> 470 ms

Hot execution times:

  Java Function -> 30 ms
  Native Java Function -> 30 ms
  Go Function -> 30 ms

Container Memory usage of Hot Function:

  Java Function -> 17.8 MiB
  Native Java Function -> 0.9 MiB
  Go Function -> 1.2 MiB

Container Image Size:

  Java Function -> 266 MB
  Native Java Function -> 13.6 MB
  Go Function -> 15.1 MB

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Re:The Machine That Builds Itself: The Strengths of the Lisp... by dorfsmay on Monday July 02, 2018 @02:25PM (#17444184)

What are "Native Java Functions"?

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Re:The Machine That Builds Itself: The Strengths of the Lisp... by tkxxx7 on Monday July 02, 2018 @02:48PM (#17444364)

Already compiled to bytecode?

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Re:The Machine That Builds Itself: The Strengths of the Lisp... by pjmlp on Tuesday July 03, 2018 @07:59AM (#17449423)

Machine code.

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Re:The Machine That Builds Itself: The Strengths of the Lisp... by pjmlp on Monday July 02, 2018 @11:32AM (#17442512)

Where is Go?

Still not a match for Hotspot and around me everyone still asks for .NET and Java projects.

And those data structures with indirect calls are never going to go away.

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