feat: add parallel prefix product for vector e4#750
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Pull Request Overview
This PR adds a parallel prefix product method for e4 vectors to improve performance through parallelization. The implementation includes both a parallel version that uses multiple goroutines for large vectors and falls back to a sequential version for smaller vectors.
Key changes:
- Added
Chunksfunction to the parallel package for dividing work into ranges - Implemented
PrefixProductmethod with parallel computation using a two-pass algorithm - Added comprehensive tests and benchmarks for the new functionality
Reviewed Changes
Copilot reviewed 7 out of 7 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| internal/parallel/execute.go | Added Chunks function to return work ranges without executing goroutines |
| field/koalabear/extensions/vector.go | Implemented parallel PrefixProduct method with fallback to sequential version |
| field/koalabear/extensions/e4_test.go | Added tests and benchmarks for prefix product functionality |
| field/generator/internal/templates/extensions/vector.go.tmpl | Template for generating prefix product implementation across field types |
| field/generator/internal/templates/extensions/e4_test.go.tmpl | Template for generating prefix product tests across field types |
| field/babybear/extensions/vector.go | Generated implementation of prefix product for babybear field |
| field/babybear/extensions/e4_test.go | Generated tests for babybear prefix product |
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| } | ||
| numWorkers = max(1, numWorkers) | ||
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| // --- PASS 1: Calculate prefix product for each chunk independently --- |
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Inconsistent indentation: this comment has an extra tab compared to the surrounding code. It should align with the parallel.Execute call below it.
| // --- PASS 1: Calculate prefix product for each chunk independently --- | |
| // --- PASS 1: Calculate prefix product for each chunk independently --- |
| return | ||
| } | ||
| for i := 1; i < len(vector); i++ { | ||
| vector[i].Mul(&vector[i-1], &vector[i]) |
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The multiplication order is incorrect. This should be vector[i].Mul(&vector[i], &vector[i-1]) to match the prefix product definition where each element becomes the product of itself with all previous elements.
| vector[i].Mul(&vector[i-1], &vector[i]) | |
| vector[i].Mul(&vector[i], &vector[i-1]) |
| return | ||
| } | ||
| for i := 1; i < len(vector); i++ { | ||
| vector[i].Mul(&vector[i-1], &vector[i]) |
There was a problem hiding this comment.
The multiplication order is incorrect. This should be vector[i].Mul(&vector[i], &vector[i-1]) to match the prefix product definition where each element becomes the product of itself with all previous elements.
| vector[i].Mul(&vector[i-1], &vector[i]) | |
| vector[i].Mul(&vector[i], &vector[i-1]) |
| return | ||
| } | ||
| for i := 1; i < len(vector); i++ { | ||
| vector[i].Mul(&vector[i-1], &vector[i]) |
There was a problem hiding this comment.
The multiplication order is incorrect. This should be vector[i].Mul(&vector[i], &vector[i-1]) to match the prefix product definition where each element becomes the product of itself with all previous elements.
| vector[i].Mul(&vector[i-1], &vector[i]) | |
| vector[i].Mul(&vector[i], &vector[i-1]) |
Description
Adds a parallel prefix product method for e4 vectors.