Coderive Language - 50ms for 1 Quintillion Array Elements inside a Loop

Source: Dev.to

The Impossible Loop

// In any other language, this would be computational suicide
for i in [0 to 1Qi] {  // 1,000,000,000,000,000,000 iterations
    arr[i] = i * i;
}

Traditional Reality

• Python: MemoryError at array creation

Coderive’s Reality

• Result: 50 milliseconds

The Magic Behind It

• NaturalArray: Virtual arrays that store formulas, not data
• Runtime Pattern Detection: Transforms loops into mathematical expressions
• Lazy Evaluation: Computes only what’s accessed
• Formula Storage: LoopFormula, ConditionalFormula, MultiBranchFormula

Technical Deep Dive

What you write

for i in [0 to 1Qi] {
    if i % 2 == 0 {
        arr[i] = i * i;
    } elif i % 3 == 0 {
        arr[i] = i * i * i;
    } else {
        arr[i] = i;
    }
}

What Coderive creates internally

arr.addMultiBranchFormula(
    conditions: [i % 2 == 0, i % 3 == 0],
    expressions: [i * i, i * i * i],
    elseExpr: i,
    range: [0, 1Qi]
);

The Optimization Pipeline

User Code → Pattern Detection → Formula Creation → Lazy Evaluation
   ↓               ↓                ↓                ↓
  O(n)            O(1)             O(1)           O(1) per access

Complete Pattern Coverage

• ✅ Simple Transformations: arr[i] = f(i) → LoopFormula

Real-World Impact

// Process every pixel in an 8K video (≈33 million frames)
for frame in [0 to 33M] {
    for pixel in [0 to 7680*4320] {  // 33 million frames × 33 million pixels
        if brightness > 128 {
            pixels[pixel] = 255;
        } elif brightness > 64 {
            pixels[pixel] = 128;
        } else {
            pixels[pixel] = 0;
        }
    }
}

• Traditional: Impossible
• Coderive: Seconds, not centuries

The Secret Sauce

• No data movement (arrays stay virtual)

Conclusion

Coderive doesn’t just make loops faster—it redefines what’s computationally possible on commodity hardware.

Check Coderive on GitHub