← Back to articles

High-Performance Array-Backed LRU Hash Table

2026-08-14 | original

read original more articles

Why This Matters

The high-performance array-backed LRU hash table offers a scalable, low-latency solution optimized for multi-core and NUMA architectures, making it ideal for demanding systems like caching and network infrastructure. Its design minimizes contention and runtime overhead, significantly improving throughput and predictability in critical applications.

Key Takeaways

Eliminates heap fragmentation and OS lock stalls with zero runtime allocations.
Uses custom spinlocks and sharded architecture for linear scalability and high throughput.
Optimized for NUMA systems, maximizing memory bandwidth and maintaining predictable latency.

High-Performance Array-Backed LRU Hash Table

Concurrent LRU Hash Table optimized for:

multi-core scalability

predictable tail latency

NUMA architectures

zero runtime allocations

Table of Contents

A high-performance concurrent LRU hash table designed for demanding systems programming workloads such as caching layers, network infrastructure, and kernel components. By leveraging shard-based parallelism and cache-friendly memory layouts, the implementation delivers high throughput in environments where standard library containers degrade under contention.

Key Architectural Highlights

Zero Runtime Allocations: Pre-allocated flat arrays eliminate heap fragmentation and OS-level lock stalls.

... continue reading

Explore topics: lru hash table concurrent programming numa architectures ttas spinlock cache-friendly memory