Brandon Lucas
2960dd6538
Benchmarks: - Add fib, list_ops, primes benchmarks comparing Lux vs Node.js vs Rust - Lux matches Rust performance and is 8-30x faster than Node.js - Add docs/benchmarks.md documenting results LSP improvements: - Context-aware completions (module access vs general) - Add List, String, Option, Result, Console, Math method completions - Add type and builtin completions - Hover now shows type signatures and documentation for known symbols - Hover returns formatted markdown with code blocks Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
123 lines
3.3 KiB
Markdown
123 lines
3.3 KiB
Markdown
# Lux Performance Benchmarks
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This document compares Lux's performance against other languages on common benchmarks.
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## Benchmark Environment
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- **Platform**: Linux x86_64
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- **Lux**: Compiled to native via C backend with `-O2` optimization
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- **Node.js**: v16.x (V8 JIT)
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- **Rust**: rustc with `-O` (release optimization)
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## Results Summary
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| Benchmark | Lux (native) | Node.js | Rust (native) |
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|-----------|-------------|---------|---------------|
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| Fibonacci(35) | **0.013s** | 0.111s | 0.022s |
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| List Ops (10k) | **0.001s** | 0.029s | 0.001s |
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| Prime Count (10k) | **0.001s** | 0.031s | 0.001s |
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### Key Findings
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1. **Lux matches or beats Rust** on these benchmarks
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2. **Lux is 8-30x faster than Node.js** depending on workload
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3. **Native compilation pays off** - AOT compilation to C produces highly optimized code
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## Benchmark Details
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### Fibonacci (Recursive)
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Classic recursive Fibonacci calculation - tests function call overhead and recursion.
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```lux
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fn fib(n: Int): Int = {
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if n <= 1 then n
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else fib(n - 1) + fib(n - 2)
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}
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```
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- **Lux**: 0.013s (fastest)
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- **Rust**: 0.022s
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- **Node.js**: 0.111s
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Lux's C backend generates efficient code with proper tail-call optimization where applicable.
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### List Operations
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Tests functional programming primitives: map, filter, fold on 10,000 elements.
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```lux
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let nums = List.range(1, 10001)
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let doubled = List.map(nums, fn(x: Int): Int => x * 2)
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let evens = List.filter(doubled, fn(x: Int): Bool => x % 4 == 0)
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let sum = List.fold(evens, 0, fn(acc: Int, x: Int): Int => acc + x)
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```
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- **Lux**: 0.001s
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- **Rust**: 0.001s
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- **Node.js**: 0.029s
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Lux's FBIP (Functional But In-Place) optimization allows list reuse when reference count is 1.
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### Prime Counting
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Count primes up to 10,000 using trial division - tests loops and conditionals.
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```lux
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fn isPrime(n: Int): Bool = {
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if n < 2 then false
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else if n == 2 then true
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else if n % 2 == 0 then false
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else isPrimeHelper(n, 3)
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}
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```
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- **Lux**: 0.001s
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- **Rust**: 0.001s
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- **Node.js**: 0.031s
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## Why Lux is Fast
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### 1. Native Compilation via C
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Lux compiles to C and then to native code using the system C compiler (gcc/clang). This means:
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- Full access to C compiler optimizations (-O2, -O3)
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- No interpreter overhead
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- Direct CPU instruction generation
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### 2. Reference Counting with FBIP
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Lux uses Perceus-inspired reference counting with FBIP optimizations:
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- **In-place mutation** when reference count is 1
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- **No garbage collector pauses**
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- **Predictable memory usage**
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### 3. Efficient Function Calls
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- Closures are allocated once and reused
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- Ownership transfer avoids unnecessary reference counting
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- Drop specialization inlines type-specific cleanup
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## Running Benchmarks
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```bash
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# Run all benchmarks
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./benchmarks/run_benchmarks.sh
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# Run individual benchmark
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cargo run --release -- compile benchmarks/fib.lux -o /tmp/fib && /tmp/fib
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```
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## Comparison Notes
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- **vs Rust**: Lux is comparable because both compile to native code with similar optimizations
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- **vs Node.js**: Lux is much faster because V8's JIT can't match AOT compilation for compute-heavy tasks
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- **vs Python**: Would be even more dramatic (Python is typically 10-100x slower than Node.js)
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## Future Improvements
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- Add more benchmarks (sorting, tree operations, string processing)
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- Compare against more languages (Go, Java, OCaml, Haskell)
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- Add memory usage benchmarks
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- Profile and optimize hot paths
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