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SIMD in Register: Doubling Hash Table Lookup Performance - News Directory 3

SIMD in Register: Doubling Hash Table Lookup Performance

July 28, 2025 Lisa Park Tech
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Original source: maltsev.space

Optimizing String Lookups: A Bitwise Adventure in C#

Table of Contents

  • Optimizing String Lookups: A Bitwise Adventure in C#
    • The Problem: Slow String Lookups
    • Initial Approach: The Shifting Method
    • The Breakthrough:⁣ Bitwise Magic

Ever found yourself staring at a performance ⁣bottleneck, knowing there must be a more efficient way? I recently⁤ dove headfirst into optimizing ⁤string lookups in C#, and let me tell you, it was a journey that led ⁣me down a rabbit hole of bitwise operations. Teh‍ result? A significant performance boost that, while perhaps a tad less readable, is undeniably powerful.

The Problem: Slow String Lookups

In⁤ a recent project, I was dealing with a scenario where⁣ we needed to perform ⁣a high volume of string lookups. The initial implementation used a ⁤straightforward byte array to store and check⁣ for the presence of strings.While functional, the benchmarks revealed a clear performance issue, ⁢especially with negative lookups (when a ⁣string isn’t ⁢ present). The existing method⁣ was simply‍ too slow for our ⁣needs.

Initial Approach: The Shifting Method

My first attempt at optimization involved a technique that’s ⁤frequently enough seen in these kinds of scenarios:⁤ shifting. The idea was to XOR the input string⁢ with a known pattern and then check if any of the resulting bytes were zero.

csharp
public static bool shiftlookup(ReadOnlySpan input)
{
    uint xored = 0;
    for (int i = 0; i < input.Length; i++)
    {
        xored ^= ((uint)input[i] << (i % 4)  8);
    }
    return (xored & 0x01010101U) != 0;
}

This was a decent improvement⁢ over⁣ the‍ naive approach. Positive lookups saw a modest speedup, and negative lookups⁤ were also faster. However, I felt there was still room for more‍ aggressive optimization. The loop and the conditional shifting felt like they could be streamlined ⁤further.

The Breakthrough:⁣ Bitwise Magic

This is where things get interesting, and perhaps a little bit intimidating if you’re not used to ⁢bitwise ⁣operations. I stumbled upon a clever bit-twiddling hack ⁤that promised even greater performance gains. The core idea ⁢is to leverage the properties of XOR and bitwise AND to detect if any byte in a sequence is zero, without explicit looping or conditional checks on each byte.

The magic happens in this line:

csharp
return ((xored - 0x01010101U) & ~xored & 0x80808080U) != 0;

Let’s break down this seemingly cryptic expression:

  1. xored: This is the result of XORing the input bytes with a specific pattern. The goal here is to zero out bytes that match the pattern.
  2. xored - 0x01010101U: Subtracting 0x01010101U from xored has a peculiar effect. If a byte in xored was 0x00, subtracting 0x01 from⁣ it will cause a borrow that propagates through the byte, effectively turning 0x00 into 0xFF. If a byte was 0x01, subtracting 0x01 makes it 0x00.
  3. ~xored: This is the bitwise NOT of xored.It flips all the bits. So, any 0x00 bytes in xored become 0xFF in ~xored, and any non-zero bytes become zero.
  4. & 0x80808080U: This is a mask that isolates the most ‍significant bit (MSB) ⁣of each byte.

When you combine these operations, the expression ((xored - 0x01010101U) & ~xored & 0x80808080U) will result in a non-zero value if and only if

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Bitwise, Bitwise tricks, C, Hash table, performance

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