Regular reduction expressions parallelize too, so just use that.

This commit is contained in:
Danila Fedorin 2022-12-01 09:19:29 -08:00
parent cf78dc036c
commit 277d198d17
1 changed files with 11 additions and 23 deletions

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@ -114,10 +114,15 @@ class MaxThree : ReduceScanOp {
/*
Let's make it possible to select which part we want to solve from the
command line. This can be easily achieved via a `config const`. We'll
also add a `config const` to enable/disable parallel computation. */
command line. This can be easily achieved via a `config const`. A
variable like this can be set when running the program from the command
line as follows:
```bash
./my-program --part=1
```
*/
config const part = 1;
config const parallel = false;
/* Here's how we use our solution. */
if part == 1 {
@ -125,25 +130,8 @@ if part == 1 {
the one maximum number. */
writeln(max reduce elves());
} else if part == 2 {
if !parallel {
/* For the non-parallel version, we can just use `MaxThree` in the
reduce expression, which gives us our top-3 tuple. To solve
the puzzle, all that's left is to sum the elements of that tuple,
which we achieve via another `+ reduce`. */
writeln(+ reduce (MaxThree reduce elves()));
} else {
/* For the parallel case, we have to use a `forall` loop, which is
Chapel's way of expressing parallelism. `forall` loops have
support for `reduce expression`. In all, the code looks like the
following. */
var max3 = (0,0,0);
// Need to read all the numbers into memory to make sure we can distribute
var elfList = elves();
// To make a reduction parallel, we use a forall loop with a reduce intent
forall elf in elfList with (MaxThree(int) reduce max3) {
max3 reduce= elf;
}
writeln(+ reduce max3);
}
// Need to read all the numbers into memory to make sure we can distribute
var elfList = elves();
writeln(+ reduce (MaxThree reduce elfList));
}