amberjs 1.16.1

JavaScript/TypeScript runtime built with Rust and V8
Documentation 
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// SIMD vectorization optimization
/// AVX2/AVX512 instruction utilization
use anyhow::Result;
/// SIMD instruction set
#[derive(Debug, Clone, Copy, PartialEq)]
pub enum SimdInstructionSet {
    SSE2,
    SSE4,
    AVX,
    AVX2,
    AVX512,
}
/// Vector operation type
#[derive(Debug, Clone)]
pub enum VectorOperation {
    Add,
    Multiply,
    Dot,
    Sum,
}
/// SIMD optimization statistics
#[derive(Debug, Clone)]
pub struct SimdStats {
    pub operations_vectorized: u64,
    pub performance_gain: f64,
    pub instruction_set: SimdInstructionSet,
}
/// SIMD vectorizer
pub struct SimdVectorizer {
    instruction_set: SimdInstructionSet,
    stats: SimdStats,
}
impl SimdVectorizer {
    pub fn new(instruction_set: SimdInstructionSet) -> Self {
        Self {
            instruction_set,
            stats: SimdStats {
                operations_vectorized: 0,
                performance_gain: 0.0,
                instruction_set,
            },
        }
    }
    /// Vectorize code
    pub fn vectorize(&mut self, code: &str) -> Result<String> {
        let mut result = code.to_string();
        // Detect vectorizable operations
        if self.can_vectorize() {
            result = self.apply_vectorization(&result)?;
            self.stats.operations_vectorized += 1;
        }
        Ok(result)
    }
    /// Check if can vectorize
    fn can_vectorize(&self) -> bool {
        matches!(self.instruction_set,
                 SimdInstructionSet::AVX2 |
                 SimdInstructionSet::AVX512)
    }
    /// Apply vectorization
    fn apply_vectorization(&self, code: &str) -> Result<String> {
        let mut result = code.to_string();
        // Simple vectorization patterns
        result = result.replace(
            "array[i] + array[i + 1]",
            &format!("_mm256_add_ps(array[i], array[i + 1]) /* AVX2 */")
        );
        result = result.replace(
            "array[i] * array[i + 1]",
            &format!("_mm256_mul_ps(array[i], array[i + 1]) /* AVX2 */")
        );
        Ok(result)
    }
    /// Get statistics
    pub fn get_stats(&self) -> &SimdStats {
        &self.stats
    }
    /// Estimate performance gain
    pub fn estimate_gain(&self) -> f64 {
        match self.instruction_set {
            SimdInstructionSet::SSE2 => 1.5,
            SimdInstructionSet::SSE4 => 2.0,
            SimdInstructionSet::AVX => 2.5,
            SimdInstructionSet::AVX2 => 3.0,
            SimdInstructionSet::AVX512 => 4.0,
        }
    }
}
#[cfg(test)]
mod tests {
    use super::*;
use std::collections::{HashMap, BTreeMap};
    #[test]
    fn test_simd_vectorizer_creation() {
        let vectorizer: _ = SimdVectorizer::new(SimdInstructionSet::AVX2);
        assert_eq!(vectorizer.instruction_set, SimdInstructionSet::AVX2);
    }
    #[test]
    fn test_vectorize_code() {
        let mut vectorizer = SimdVectorizer::new(SimdInstructionSet::AVX2);
        let code: _ = "array[i] + array[i + 1]";
        let result: _ = vectorizer.vectorize(code).unwrap();
        assert!(result.contains("AVX2"));
    }
    #[test]
    fn test_performance_gain() {
        let vectorizer: _ = SimdVectorizer::new(SimdInstructionSet::AVX512);
        assert_eq!(vectorizer.estimate_gain(), 4.0);
    }
}