Showing 3 open source projects for "shared memory allocator"

View related business solutions
  • Full-stack observability with actually useful AI | Grafana Cloud Icon
    Full-stack observability with actually useful AI | Grafana Cloud

    Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

    Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
    Create free account
  • Build Securely on AWS with Proven Frameworks Icon
    Build Securely on AWS with Proven Frameworks

    Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

    Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
    Download Now
  • 1
    System Abstraction Component Kit
    This is a collection of libraries contained : Shared memory allocation, configuration script processor, containers (trees, lists, queues, stacks), file system abstraction, network library, timers/threads, Image library, Display libraries, and more.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 2
    The Hoard Memory Allocator
    Hoard is a multiprocessor memory allocator that is fast, memory-efficient, and scalable. If you are running multithreaded code on a multiprocessor system, Hoard can dramatically improve your application's performance without any changes to your source.
    Downloads: 0 This Week
    Last Update:
    See Project
  • 3
    Fl3x Trainer

    Fl3x Trainer

    A configurable memory patcher

    Fl3x Trainer is a memory patcher that is customizable by the user. Therefore, it behaves just as any trainer program that has ever been written on Windows. The difference here is that it's not needed to write a new trainer for every version of every game/program. Instead it uses configuration files. These can easily be made with any text editor and shared over the internet.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB