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Compiler Built-in Intrinsics for Bit Operations

Problem

Algorithms that frequently count set bits (popcount), find leading/trailing zeros (clz/ctz), or perform other bit manipulations in C++. The metric was throughput for operations like Hamming distance, bit-parallel set operations, or bitmap index scans. Baseline used manual loops to count bits.

What Worked

Using compiler built-ins (__builtin_popcount, __builtin_clz, __builtin_ctz) and C++20 <bit> header functions (std::popcount, std::countl_zero, std::countr_zero). These compile to single hardware instructions (x86: POPCNT, LZCNT, TZCNT) that execute in 1 cycle with 1-cycle latency, replacing 10-20 instruction software emulations.

For a Hamming distance computation over 1M 64-bit words, using __builtin_popcountll was 8.3x faster than a naive bit-counting loop and 2.1x faster than the Kernighan bit-counting trick (n &= n - 1).

Experiment Data

Method Throughput (Gwords/s) Cycles/word
Naive loop (check each bit) 0.12 ~40
Kernighan trick 0.47 ~10
__builtin_popcountll 0.98 ~5
POPCNT + AVX2 (batch of 4) 3.41 ~1.4

Code Example

// Hamming distance: count differing bits between two arrays
uint64_t hamming(const uint64_t* a, const uint64_t* b, size_t n) {
    uint64_t dist = 0;
    for (size_t i = 0; i < n; i++)
        dist += __builtin_popcountll(a[i] ^ b[i]); // single POPCNT instruction
    return dist;
}

// Find lowest set bit position (useful for bitmap scanning)
int next_set_bit(uint64_t mask) {
    return __builtin_ctzll(mask); // single TZCNT instruction
}

// C++20 portable equivalents
#include <bit>
int count = std::popcount(x);       // popcount
int lz = std::countl_zero(x);       // clz
int tz = std::countr_zero(x);       // ctz

Environment

Requires hardware support: x86 with POPCNT (since Nehalem/Barcelona, ~2008), LZCNT/TZCNT (since Haswell/Piledriver). Compile with -mpopcnt or -march=native. C++20 <bit> header for portable code.