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8 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Jan Mas Rovira
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e9afdad82a
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Parallel pipeline (#2779)
This pr introduces parallelism in the pipeline to gain performance. I've included benchmarks at the end. - Closes #2750. # Flags: There are two new global flags: 1. `-N / --threads`. It is used to set the number of capabilities. According to [GHC documentation](https://hackage.haskell.org/package/base-4.20.0.0/docs/GHC-Conc.html#v:setNumCapabilities): _Set the number of Haskell threads that can run truly simultaneously (on separate physical processors) at any given time_. When compiling in parallel, we create this many worker threads. The default value is `-N auto`, which sets `-N` to half the number of logical cores, capped at 8. 2. `--dev-show-thread-ids`. When given, the thread id is printed in the compilation progress log. E.g.  # Parallel compilation 1. I've added `src/Parallel/ParallelTemplate.hs` which contains all the concurrency related code. I think it is good to keep this code separated from the actual compiler code. 2. I've added a progress log (only for the parallel driver) that outputs a log of the compilation progress, similar to what stack/cabal do. # Code changes: 1. I've removed the `setup` stage where we were registering dependencies. Instead, the dependencies are registered when the `pathResolver` is run for the first time. This way it is safer. 1. Now the `ImportTree` is needed to run the pipeline. Cycles are detected during the construction of this tree, so I've removed `Reader ImportParents` from the pipeline. 3. For the package pathresolver, we do not support parallelism yet (we could add support for it in the future, but the gains will be small). 4. When `-N1`, the pipeline remains unchanged, so performance should be the same as in the main branch (except there is a small performance degradation due to adding the `-threaded` flag). 5. I've introduced `PipelineOptions`, which are options that are used to pass options to the effects in the pipeline. 6. `PathResolver` constraint has been removed from the `upTo*` functions in the pipeline due to being redundant. 7. I've added a lot of `NFData` instances. They are needed to force the full evaluation of `Stored.ModuleInfo` in each of the threads. 2. The `Cache` effect uses [`SharedState`](https://hackage.haskell.org/package/effectful-core-2.3.0.1/docs/Effectful-State-Static-Shared.html) as opposed to [`LocalState`](https://hackage.haskell.org/package/effectful-core-2.3.0.1/docs/Effectful-Writer-Static-Local.html). Perhaps we should provide different versions. 3. I've added a `Cache` handler that accepts a setup function. The setup is triggered when a miss is detected. It is used to lazily compile the modules in parallel. # Tests 1. I've adapted the smoke test suite to ignore the progress log in the stderr. 5. I've had to adapt `tests/positive/Internal/Lambda.juvix`. Due to laziness, a crash happening in this file was not being caught. The problem is that in this file we have a lambda function with different number of patterns in their clauses, which we currently do not support (https://github.com/anoma/juvix/issues/1706). 6. I've had to comment out the definition ``` x : Box ((A : Type) → A → A) := box λ {A a := a}; ``` From the test as it was causing a crash (https://github.com/anoma/juvix/issues/2247). # Future Work 1. It should be investigated how much performance we lose by fully evaluating the `Stored.ModuleInfo`, since some information in it will be discarded. It may be possible to be more fine-grained when forcing evaluation. 8. The scanning of imports to build the import tree is sequential. Now, we build the import tree from the entry point module and only the modules that are imported from it are in the tree. However, we have discussed that at some point we should make a distinction between `juvix` _the compiler_ and `juvix` _the build tool_. When using `juvix` as a build tool it makes sense to typecheck/compile (to stored core) all modules in the project. When/if we do this, scanning imports in all modules in parallel becomes trivial. 9. The implementation of the `ParallelTemplate` uses low level primitives such as [forkIO](https://hackage.haskell.org/package/base-4.20.0.0/docs/Control-Concurrent.html#v:forkIO). At some point it should be refactored to use safer functions from the [`Effectful.Concurrent.Async`](https://hackage.haskell.org/package/effectful-2.3.0.0/docs/Effectful-Concurrent-Async.html) module. 10. The number of cores and worker threads that we spawn is determined by the command line. Ideally, we could use to import tree to compute an upper bound to the ideal number of cores to use. 11. We could add an animation that displays which modules are being compiled in parallel and which have finished being compiled. # Benchmarks On some benchmarks, I include the GHC runtime option [`-A`](https://downloads.haskell.org/ghc/latest/docs/users_guide/runtime_control.html#rts-flag--A%20%E2%9F%A8size%E2%9F%A9), which sometimes makes a good impact on performance. Thanks to @paulcadman for pointing this out. I've figured a good combination of `-N` and `-A` through trial and error (but this oviously depends on the cpu and juvix projects). ## Typecheck the standard library ### Clean run (88% faster than main): ``` hyperfine --warmup 1 --prepare 'juvix clean' 'juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432' 'juvix -N 4 typecheck Stdlib/Prelude.juvix' 'juvix-main typecheck Stdlib/Prelude.juvix' Benchmark 1: juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432 Time (mean ± σ): 444.1 ms ± 6.5 ms [User: 1018.0 ms, System: 77.7 ms] Range (min … max): 432.6 ms … 455.9 ms 10 runs Benchmark 2: juvix -N 4 typecheck Stdlib/Prelude.juvix Time (mean ± σ): 628.3 ms ± 23.9 ms [User: 1227.6 ms, System: 69.5 ms] Range (min … max): 584.7 ms … 670.6 ms 10 runs Benchmark 3: juvix-main typecheck Stdlib/Prelude.juvix Time (mean ± σ): 835.9 ms ± 12.3 ms [User: 788.5 ms, System: 31.9 ms] Range (min … max): 816.0 ms … 853.6 ms 10 runs Summary juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432 ran 1.41 ± 0.06 times faster than juvix -N 4 typecheck Stdlib/Prelude.juvix 1.88 ± 0.04 times faster than juvix-main typecheck Stdlib/Prelude.juvix ``` ### Cached run (43% faster than main): ``` hyperfine --warmup 1 'juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432' 'juvix -N 4 typecheck Stdlib/Prelude.juvix' 'juvix-main typecheck Stdlib/Prelude.juvix' Benchmark 1: juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432 Time (mean ± σ): 241.3 ms ± 7.3 ms [User: 538.6 ms, System: 101.3 ms] Range (min … max): 231.5 ms … 251.3 ms 11 runs Benchmark 2: juvix -N 4 typecheck Stdlib/Prelude.juvix Time (mean ± σ): 235.1 ms ± 12.0 ms [User: 405.3 ms, System: 87.7 ms] Range (min … max): 216.1 ms … 253.1 ms 12 runs Benchmark 3: juvix-main typecheck Stdlib/Prelude.juvix Time (mean ± σ): 336.7 ms ± 13.3 ms [User: 269.5 ms, System: 67.1 ms] Range (min … max): 316.9 ms … 351.8 ms 10 runs Summary juvix -N 4 typecheck Stdlib/Prelude.juvix ran 1.03 ± 0.06 times faster than juvix -N 4 typecheck Stdlib/Prelude.juvix +RTS -A33554432 1.43 ± 0.09 times faster than juvix-main typecheck Stdlib/Prelude.juvix ``` ## Typecheck the test suite of the containers library At the moment this is the biggest juvix project that we have. ### Clean run (105% faster than main) ``` hyperfine --warmup 1 --prepare 'juvix clean' 'juvix -N 6 typecheck Main.juvix +RTS -A67108864' 'juvix -N 4 typecheck Main.juvix' 'juvix-main typecheck Main.juvix' Benchmark 1: juvix -N 6 typecheck Main.juvix +RTS -A67108864 Time (mean ± σ): 1.006 s ± 0.011 s [User: 2.171 s, System: 0.162 s] Range (min … max): 0.991 s … 1.023 s 10 runs Benchmark 2: juvix -N 4 typecheck Main.juvix Time (mean ± σ): 1.584 s ± 0.046 s [User: 2.934 s, System: 0.149 s] Range (min … max): 1.535 s … 1.660 s 10 runs Benchmark 3: juvix-main typecheck Main.juvix Time (mean ± σ): 2.066 s ± 0.010 s [User: 1.939 s, System: 0.089 s] Range (min … max): 2.048 s … 2.077 s 10 runs Summary juvix -N 6 typecheck Main.juvix +RTS -A67108864 ran 1.57 ± 0.05 times faster than juvix -N 4 typecheck Main.juvix 2.05 ± 0.03 times faster than juvix-main typecheck Main.juvix ``` ### Cached run (54% faster than main) ``` hyperfine --warmup 1 'juvix -N 6 typecheck Main.juvix +RTS -A33554432' 'juvix -N 4 typecheck Main.juvix' 'juvix-main typecheck Main.juvix' Benchmark 1: juvix -N 6 typecheck Main.juvix +RTS -A33554432 Time (mean ± σ): 551.8 ms ± 13.2 ms [User: 1419.8 ms, System: 199.4 ms] Range (min … max): 535.2 ms … 570.6 ms 10 runs Benchmark 2: juvix -N 4 typecheck Main.juvix Time (mean ± σ): 636.7 ms ± 17.3 ms [User: 1006.3 ms, System: 196.3 ms] Range (min … max): 601.6 ms … 655.3 ms 10 runs Benchmark 3: juvix-main typecheck Main.juvix Time (mean ± σ): 847.2 ms ± 58.9 ms [User: 710.1 ms, System: 126.5 ms] Range (min … max): 731.1 ms … 890.0 ms 10 runs Summary juvix -N 6 typecheck Main.juvix +RTS -A33554432 ran 1.15 ± 0.04 times faster than juvix -N 4 typecheck Main.juvix 1.54 ± 0.11 times faster than juvix-main typecheck Main.juvix ``` |
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|
Jan Mas Rovira
|
3a4cbc742d
|
Replace polysemy by effectful (#2663)
The following benchmark compares juvix 0.6.0 with polysemy and a new
version (implemented in this pr) which replaces polysemy by effectful.
# Typecheck standard library without caching
```
hyperfine --warmup 2 --prepare 'juvix-polysemy clean' 'juvix-polysemy typecheck Stdlib/Prelude.juvix' 'juvix-effectful typecheck Stdlib/Prelude.juvix'
Benchmark 1: juvix-polysemy typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 3.924 s ± 0.143 s [User: 3.787 s, System: 0.084 s]
Range (min … max): 3.649 s … 4.142 s 10 runs
Benchmark 2: juvix-effectful typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 2.558 s ± 0.074 s [User: 2.430 s, System: 0.084 s]
Range (min … max): 2.403 s … 2.646 s 10 runs
Summary
juvix-effectful typecheck Stdlib/Prelude.juvix ran
1.53 ± 0.07 times faster than juvix-polysemy typecheck Stdlib/Prelude.juvix
```
# Typecheck standard library with caching
```
hyperfine --warmup 1 'juvix-effectful typecheck Stdlib/Prelude.juvix' 'juvix-polysemy typecheck Stdlib/Prelude.juvix' --min-runs 20
Benchmark 1: juvix-effectful typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 1.194 s ± 0.068 s [User: 0.979 s, System: 0.211 s]
Range (min … max): 1.113 s … 1.307 s 20 runs
Benchmark 2: juvix-polysemy typecheck Stdlib/Prelude.juvix
Time (mean ± σ): 1.237 s ± 0.083 s [User: 0.997 s, System: 0.231 s]
Range (min … max): 1.061 s … 1.476 s 20 runs
Summary
juvix-effectful typecheck Stdlib/Prelude.juvix ran
1.04 ± 0.09 times faster than juvix-polysemy typecheck Stdlib/Prelude.juvix
```
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Dimitris Apostolou
|
d6d21a22e3
|
Fix typos (#2573) | ||
Paul Cadman
|
20a95ec42d
|
Extract builtin definitions for loading a Package into bundled package-base package (#2535)
This PR creates a new package that's bundled with the compiler in a similar way to the stdlib and the package description package. ## The `package-base` Package This package is called [package-base]( |
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Paul Cadman
|
2f4a3f809b
|
Run test suite in parallel (#2507)
## Overview
This PR makes the compiler pipeline thread-safe so that the test suite
can be run in parallel.
This is achieved by:
* Removing use of `{get, set, with}CurrentDir` functions.
* Adding locking around shared file resources like the the
global-project and internal build directory.
NB: **Locking is disabled for the main compiler target**, as it is
single threaded they are not required.
## Run test suite in parallel
To run the test suite in parallel you must add `--ta '+RTS -N -RTS'` to
your stack test arguments. For example:
```
stack test --fast --ta '+RTS -N -RTS'
```
The `-N` instructs the Haskell runtime to choose the number of threads
to use based on how many processors there are on your machine. You can
use `-Nn` to see the number of threads to `n`.
These flags are already [set in the
Makefile](
|
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|
Paul Cadman
|
7b5211664e
|
Add PackageDescription.Basic module Package variant (#2509)
This PR adds the `PackageDescription.Basic` module, available to Package.juvix files. ``` module Package; import PackageDescription.Basic open; package : Package := basicPackage; ``` The `PackageDescription.Basic` module provides a Package type that is translated to a Juvix Package with all default arguments. It is not possible to customize a basic package. A basic package does not depend on the standard library, so loads much more quickly. Additionally this PR: * Adds `juvix init --basic/-b` option to generate a basic Package.juvix. * Migrates Package.juvix files that only use default arguments, or only customise the name field, to basic Package files. * Closes https://github.com/anoma/juvix/issues/2508 |
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|
Paul Cadman
|
0a8799a344
|
Use a Juvix source file to define a package (#2434)
Depends on:
* ~~https://github.com/anoma/juvix/pull/2459~~
* https://github.com/anoma/juvix/pull/2462
This PR is part of a series implementing:
* https://github.com/anoma/juvix/issues/2336
This PR adds the package file loading function, including a file
evaluation effect. It integrates this with the existing `readPackage`
function and adds tests / smoke tests.
## Package.juvix format
Instead of `juvix.yaml` (which is still supported currently) users can
now place a `Package.juvix` file in the root of their project. The
simplest `Package.juvix` file you can write is:
```
module Package;
import PackageDescription open;
package : Package := defaultPackage;
```
The
[PackageDescription](
|
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|
Paul Cadman
|
8e6c1c8f07
|
Use JuvixError instead of Text for errors in Package file loading (#2459)
Depends on: * https://github.com/anoma/juvix/pull/2458 This PR is part of a series implementing: * https://github.com/anoma/juvix/issues/2336 In attempt to make the main PR: * https://github.com/anoma/juvix/pull/2434 easier to review. This PR introduces standard JuvixError handling for errors related to the loading of the juvix.yaml file. Before this PR errors were thrown as Text and then communicated to the user using the `error` function. |