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3 dépôts

Awesome GitHub RepositoriesMulti-threaded Memory Management

Low-level memory management strategies specifically designed to scale across many CPU cores with minimal lock contention.

Distinct from Thread-Aware Memory Analyzers: Focuses on the allocator's internal concurrency strategy rather than external analyzers or locking mechanisms.

Explore 3 awesome GitHub repositories matching operating systems & systems programming · Multi-threaded Memory Management. Refine with filters or upvote what's useful.

Awesome Multi-threaded Memory Management GitHub Repositories

Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • jemalloc/jemallocAvatar de jemalloc

    jemalloc/jemalloc

    10,950Voir sur GitHub↗

    jemalloc is a general purpose C memory allocator designed as a replacement for the standard library malloc and free functions. It is a multi-threaded allocation library that emphasizes fragmentation avoidance and scalable concurrency for high-performance applications. The project reduces lock contention by using multiple independent memory arenas and thread-local cache layers. It minimizes latency by offloading the reclamation of unused memory pages to asynchronous background threads and utilizes huge page metadata storage to reduce translation lookaside buffer misses. The system includes a

    Reduces lock contention and fragmentation when allocating memory across many CPU cores in high-performance environments.

    C
    Voir sur GitHub↗10,950
  • mit-pdos/xv6-publicAvatar de mit-pdos

    mit-pdos/xv6-public

    9,466Voir sur GitHub↗

    xv6 is a Unix-like educational operating system designed for teaching kernel concepts. It is implemented as an instructional kernel for x86 and RISC-V architectures, featuring a virtual memory manager and support for symmetric multiprocessing. The system is designed to demonstrate core OS principles through a simplified re-implementation of Unix Version 6. It provides a controlled environment for studying system calls, trap handling, and process lifecycles. Its capability surface covers process management, including scheduling and context switching, and memory management via page tables for

    Uses spinlocks to coordinate memory access across multiple processors to ensure data consistency.

    C
    Voir sur GitHub↗9,466
  • openmathlib/openblasAvatar de OpenMathLib

    OpenMathLib/OpenBLAS

    7,470Voir sur GitHub↗

    OpenBLAS is a high-performance implementation of the Basic Linear Algebra Subprograms standard designed for numerical computing and matrix operations. It serves as a hardware-accelerated numerical library and optimized math kernel library, providing a computational engine for large-scale matrix multiplication and vector operations. The library distinguishes itself through the use of hand-tuned assembly kernels and SIMD instruction mapping, such as AVX and SVE, to maximize floating-point performance on specific CPU architectures. It features a multi-threaded framework that manages parallel exe

    Manages internal memory buffers and threading backends to scale linear algebra operations across CPU cores.

    Cblaslapacklapacke
    Voir sur GitHub↗7,470
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  • Inter-CPU Memory SynchronizationMechanisms to ensure data consistency across multiple physical processor cores. **Distinct from Multi-threaded Memory Management:** Focuses on the use of spinlocks for multi-CPU consistency rather than just general multi-threaded allocator strategies.