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mimalloc: A Compact, High-Performance General Purpose Allocator

mimalloc is a general-purpose memory allocator designed for performance and efficiency. It is compact and offers excellent performance characteristics compared to other allocators.

C
Added on 2025年7月4日
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mimalloc: A Compact, High-Performance General Purpose Allocator preview
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Project Introduction

Summary

mimalloc is Microsoft's compact and performant general purpose memory allocator. It aims to provide superior performance and efficiency compared to existing allocators.

Problem Solved

Inefficient memory allocation can lead to performance bottlenecks, high memory usage, and fragmentation in applications, particularly in high-concurrency scenarios. mimalloc provides a faster and more memory-efficient alternative to standard library allocators.

Core Features

High Performance Allocation/Deallocation

Extremely fast allocation and deallocation operations for various workloads.

Low Memory Fragmentation

Designed to minimize memory waste and improve cache locality.

Compact Design

Compact code size and low memory overhead.

Tech Stack

C
C++
Assembly

Use Cases

mimalloc is suitable for any application where memory allocation performance is critical. Key use cases include:

High-Performance Server Applications

Details

Replacing the default allocator in high-throughput server applications handling many concurrent requests to reduce latency and increase throughput.

User Value

Significantly improved request processing speed and reduced resource consumption.

Game and Graphics Development

Details

Integrating mimalloc into game engines or graphics applications for faster asset loading, object allocation/deallocation, and reduced memory fragmentation.

User Value

Smoother gameplay, faster loading screens, and better memory utilization.

Performance-Critical Tools and Libraries

Details

Using mimalloc in memory-intensive tools like compilers, databases, or complex simulations for overall execution speed improvements.

User Value

Faster compilation times, query execution, or simulation runs.

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