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FancyAllocator: High-Performance Per-Thread Memory Allocator

A blazing-fast, bounded-memory allocator designed for high-concurrency workloads. 6.4x faster than glibc malloc with the lowest tail latency among all tested allocators.

Benchmark Dashboard

Performance Highlights

Throughput (128 threads, AMD Ryzen 7 7800X3D)

Allocator Mops/sec vs glibc Notes
FancyAllocator 53.1 6.4x Fastest, bounded memory
jemalloc 38.4 4.6x Good scaling
tcmalloc 19.1 2.3x Degrades at high threads
glibc malloc 8.3 1.0x Baseline

Latency (P99, 128 threads)

Allocator Alloc P99 Alloc P999 Notes
FancyAllocator 1.15 μs 3.9 μs Best tail latency
jemalloc 1.39 μs 4.1 μs Consistent
glibc malloc 16.4 μs 18.9 μs Lock contention
tcmalloc 368 μs 1051 μs Severe degradation

Thread Scaling

Throughput Scaling

Threads Fancy glibc jemalloc tcmalloc
1 16.8M 3.5M 5.4M 5.8M
2 29.2M 6.3M 10.8M 12.9M
4 39.7M 9.2M 20.0M 21.0M
8 49.6M 8.9M 27.7M 27.4M
16 53.6M 8.1M 32.4M 26.1M
32 52.0M 8.1M 33.7M 18.8M
64 52.7M 8.4M 35.6M 19.2M
128 53.1M 8.3M 38.4M 19.1M

Key insights:

  • Fancy dominates: 6.4x faster than glibc at all thread counts
  • tcmalloc collapses: Peaks at 8 threads (27M), drops to 19M at 128 threads
  • glibc plateaus: Stuck at ~8M ops/sec regardless of threads
  • Fancy scales perfectly: Linear 1→16 threads, stable 53M thereafter

Latency Percentiles

Latency Percentiles

Memory Usage

Memory Metrics

Allocator Peak RSS (128 threads)
glibc 8.2 GB
jemalloc 9.3 GB
Fancy 11.0 GB
tcmalloc 15.6 GB

Benchmark Methodology

All benchmarks use identical workload code via LD_PRELOAD:

WORKLOAD:
├── Ring buffer: 100,000 slots per thread
├── Operations: 250,000 per thread
├── Size distribution:
│   ├── 60% small:  16-256 bytes
│   ├── 30% medium: 512-2048 bytes
│   └── 10% large:  4096-32768 bytes
├── Memory touched (memset) to ensure real allocation
└── Timing excludes: RNG init, setup, thread creation

Run benchmarks yourself:

cd benchmarks/
./run_full_benchmark.sh 128    # Full comprehensive benchmark
./run_unified.sh 16            # Quick throughput test

Why FancyAllocator?

The Problem with glibc malloc

Modern applications routinely spawn 64, 128, or more threads. Under these conditions, glibc's internal locking becomes a severe bottleneck—our benchmarks show it plateaus at ~8M ops/sec regardless of thread count.

The tcmalloc Trap

tcmalloc looks good at low thread counts but degrades catastrophically at scale:

  • Peaks at 8 threads (27M ops/sec)
  • Drops to 19M at 128 threads
  • P99 latency explodes to 368 microseconds

FancyAllocator's Approach

glibc malloc:                    FancyAllocator:
┌─────────────┐                  ┌─────────────┐
│ Thread 1 ───┼──┐               │ Thread 1    │──→ [Own Arena + Cache]
│ Thread 2 ───┼──┼─→ [Global    │ Thread 2    │──→ [Own Arena + Cache]
│ Thread 3 ───┼──┤    Lock]     │ Thread 3    │──→ [Own Arena + Cache]
│ Thread N ───┼──┘               │ Thread N    │──→ [Own Arena + Cache]
└─────────────┘                  └─────────────┘
    ↓ Contention                     ↓ Zero contention
    8M ops/sec max                   53M+ ops/sec
  • Per-thread arenas: No locking on hot path
  • Slab allocator: O(1) small allocations (≤512 bytes)
  • Bounded memory: Predictable footprint for containers

Architecture

┌─────────────────────────────────────────────────────────────┐
│                    FancyPerThreadAllocator                   │
├─────────────────────────────────────────────────────────────┤
│  ┌─────────────┐  ┌─────────────┐       ┌─────────────┐    │
│  │  Thread 1   │  │  Thread 2   │  ...  │  Thread N   │    │
│  ├─────────────┤  ├─────────────┤       ├─────────────┤    │
│  │ SmallCache  │  │ SmallCache  │       │ SmallCache  │    │
│  │ (16 bins)   │  │ (16 bins)   │       │ (16 bins)   │    │
│  │ ≤512 bytes  │  │ ≤512 bytes  │       │ ≤512 bytes  │    │
│  ├─────────────┤  ├─────────────┤       ├─────────────┤    │
│  │   Arena     │  │   Arena     │       │   Arena     │    │
│  │ (64MB mmap) │  │ (64MB mmap) │       │ (64MB mmap) │    │
│  │ >512 bytes  │  │ >512 bytes  │       │ >512 bytes  │    │
│  └─────────────┘  └─────────────┘       └─────────────┘    │
├─────────────────────────────────────────────────────────────┤
│              GlobalArenaManager (optional reclamation)       │
└─────────────────────────────────────────────────────────────┘

Small Block Cache (≤512 bytes)

  • 16 size classes: 16, 32, 48, 64, 80, 96, 112, 128, 160, 192, 224, 256, 320, 384, 448, 512
  • O(1) size-to-bin lookup via bit manipulation
  • Slab allocation via mmap (bypasses glibc entirely)
  • Thread-local free lists for zero-contention recycling

Arena (>512 bytes)

  • Segregated free lists with 16 size bins
  • O(1) bin lookup using __builtin_clz
  • Immediate coalescing on free
  • Boundary tags for efficient merging

Quick Start

C++ API

#include "memory_allocator.h"

int main() {
    // Create allocator: 64MB per thread, reclamation enabled
    FancyPerThreadAllocator alloc(64 * 1024 * 1024, true);

    // Allocate
    void* ptr = alloc.allocate(1024);

    // Aligned allocation (for SIMD: 16/32/64-byte)
    void* aligned = alloc.allocateAligned(1024, 64);

    // Use memory...

    // Deallocate
    alloc.deallocate(ptr);
    alloc.deallocate(aligned);

    return 0;
}

C API (for MLIR/LLVM Integration)

#include "memory_allocator.h"

// Standard malloc-compatible API
void* ptr = fancy_malloc(1024);
fancy_free(ptr);

// Aligned allocation (C11 compatible)
void* aligned = fancy_aligned_alloc(64, 1024);  // 64-byte alignment
fancy_free(aligned);

// POSIX memalign
void* posix_ptr;
fancy_posix_memalign(&posix_ptr, 32, 1024);
fancy_free(posix_ptr);

// Realloc and calloc
void* grown = fancy_realloc(ptr, 2048);
void* zeroed = fancy_calloc(100, sizeof(int));

// Diagnostics
fancy_print_stats();
bool valid = fancy_validate_heap();
bool leaks = fancy_check_leaks();

LD_PRELOAD Replacement

Compile with -DFANCY_REPLACE_MALLOC to replace system malloc:

g++ -DFANCY_REPLACE_MALLOC -shared -fPIC -o libfancymalloc.so memory_allocator.cpp
LD_PRELOAD=./libfancymalloc.so ./your_app

Building

Requirements

  • C++17 compiler (g++ or clang++)
  • Linux (uses mmap, huge pages)
  • pthreads

Compile

g++ -O3 -pthread -march=native -o myapp myapp.cpp

Run Comprehensive Benchmark

cd benchmarks/

# Full benchmark with latency percentiles, RSS tracking, plots
./run_full_benchmark.sh 128

# Quick throughput comparison
./run_unified.sh 16

# Results saved to benchmarks/results/

Configuration

Parameter Default Description
arenaSize 64MB Memory per thread arena
enableReclamation false Background thread reclaims empty arenas

Performance Techniques

  • __builtin_expect for branch prediction hints
  • __builtin_prefetch for cache warming
  • __attribute__((always_inline, hot)) for hot paths
  • Cache-line aligned stats (64-byte) to prevent false sharing
  • Batched statistics updates (every 512 ops)
  • mmap with MADV_HUGEPAGE for large pages
  • 16-byte header for small blocks (ensures 16-byte aligned user data for SIMD)
  • O(1) header lookup for aligned allocations via back-offset pointer

When to Use FancyAllocator

Good fit:

  • High-concurrency servers (16+ threads)
  • Latency-sensitive applications (trading, games)
  • Container deployments (predictable memory)
  • Workloads dominated by small allocations
  • SIMD-heavy code requiring aligned allocations (SSE/AVX/AVX-512)
  • Cross-thread allocation patterns (allocate in thread A, free in thread B)

Not ideal for:

  • Single-threaded applications (still fast, but overkill)
  • Unbounded memory growth requirements

Known Issues & Future Work

High Thread Count Page Faults (>64 threads)

At very high thread counts (128+), performance can be limited by page faults rather than allocator logic:

  • Each thread gets a 64MB arena → 128 threads = 8GB total
  • First-touch page faults cause kernel overhead
  • Profiling shows ~866K page faults at 128 threads

Workarounds being investigated:

  • Dynamic arena sizing based on thread count
  • Huge pages (2MB) to reduce page fault count
  • MAP_POPULATE for pre-faulting (tradeoff: slower startup)
  • Arena pooling/sharing for oversubscribed systems

Current performance at 128 threads: ~37 Mops/s (vs 48 Mops/s at 16 threads) The allocator still beats glibc 4.4x and matches jemalloc at this scale.

License

MIT License - see LICENSE file.

Contributing

Contributions welcome! Areas of interest:

  • Windows support (VirtualAlloc instead of mmap)
  • ARM optimizations
  • Custom size class configurations
  • Memory profiling tools

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