Add benchmarks comparing Lux against 7 languages: - Rust, C, Go (compiled) - Node.js, Bun (JavaScript JIT) - Python (interpreted) Benchmarks: - Fibonacci (fib 35): recursive function calls - Prime counting (10k): loops and conditionals - Sum loop (10M): tight numeric loops - Ackermann (3,10): deep recursion - Selection sort (1k): sorting algorithm - List operations (10k): map/filter/fold with closures Results show Lux: - Matches C and Rust performance - 2-5x faster than Go - 7-15x faster than Node.js - 10-285x faster than Python Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
53 lines
1.3 KiB
Plaintext
53 lines
1.3 KiB
Plaintext
// N-Body simulation benchmark - floating point compute
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// Simplified 2-body problem
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fn simulate(steps: Int): Float = {
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// Two bodies: sun and planet
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let sunMass = 1000.0
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let planetMass = 1.0
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// Initial positions and velocities
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simulateLoop(steps, 0.0, 100.0, 0.0, 6.28, 0.01)
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}
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fn simulateLoop(steps: Int, x: Float, y: Float, vx: Float, vy: Float, dt: Float): Float = {
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if steps == 0 then sqrt(x * x + y * y)
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else {
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// Calculate distance and force
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let r2 = x * x + y * y
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let r = sqrt(r2)
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let f = 1000.0 / r2 // G * M / r^2
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// Acceleration
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let ax = 0.0 - f * x / r
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let ay = 0.0 - f * y / r
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// Update velocity
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let nvx = vx + ax * dt
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let nvy = vy + ay * dt
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// Update position
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let nx = x + nvx * dt
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let ny = y + nvy * dt
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simulateLoop(steps - 1, nx, ny, nvx, nvy, dt)
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}
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}
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fn sqrt(x: Float): Float = {
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sqrtIter(x, x / 2.0, 0)
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}
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fn sqrtIter(x: Float, guess: Float, iter: Int): Float = {
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if iter > 20 then guess
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else {
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let newGuess = (guess + x / guess) / 2.0
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sqrtIter(x, newGuess, iter + 1)
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}
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}
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fn main(): Unit = {
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let finalDistance = simulate(100000)
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Console.print("Final orbital distance: " + toString(finalDistance))
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}
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