google/tcmalloc

Features

• Allocator Local Caches - Provides per-thread caches for small memory allocations to eliminate lock contention between concurrent threads.
• Memory Allocators - Provides a high-performance memory allocator designed for concurrent workloads in low-level C++ environments.
• Tiered Memory Caches - Employs a tiered caching strategy with thread-local, central, and global page heaps to reduce allocation overhead.
• High-Concurrency Memory Scaling - Optimizes memory paths to prevent bottlenecks and reduce lock contention in multi-threaded, high-scale applications.
• Size-Class Allocators - Groups memory allocations into predefined size classes to reduce internal fragmentation and accelerate retrieval.
• Lock-Free Atomic Containers - Utilizes atomic operations on thread-specific data to create lock-free fast paths for allocation and deallocation.
• C++ Memory Management - Optimizes memory request and release cycles in C++ to prevent fragmentation and increase execution speed.
• Physical Page Allocators - Manages memory in fixed-size page units to minimize fragmentation and simplify large block tracking.
• Free-List Allocators - Implements a central free list to reuse released memory spans when thread-local caches are exhausted.
• Metadata Spans - Uses span-based metadata to track the status and ownership of contiguous memory pages across the heap.
• High-Performance Systems Programming - Implements resource-efficient memory handling for high-performance software requiring manual memory management.
• C++ Runtimes - Serves as a low-level runtime component managing heap allocation and fragmentation for large-scale services.
• Application Scaling Strategies - Improves parallel program throughput by utilizing thread-local caches for faster memory access.
• Memory Management - Fast multi-threaded malloc implementation.
• Memory Allocation - Fast, multi-threaded malloc implementation.
• Memory Management Libraries - Thread-caching malloc for high-concurrency applications.

Star history