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11 repository-uri

Awesome GitHub RepositoriesHardware Resource Allocation

Configuration and enforcement of CPU, memory, and storage limits for specific application processes.

Explore 11 awesome GitHub repositories matching operating systems & systems programming · Hardware Resource Allocation. Refine with filters or upvote what's useful.

Awesome Hardware Resource Allocation GitHub Repositories

Găsește cele mai bune repo-uri cu AI.Vom căuta cele mai potrivite repository-uri folosind AI.
  • immich-app/immichAvatar immich-app

    immich-app/immich

    104,236Vezi pe GitHub↗

    Immich is a self-hosted media management platform designed to provide a centralized, private repository for photos and videos. It functions as a comprehensive system for organizing, backing up, and viewing personal media collections across mobile devices, web browsers, and external storage locations. By maintaining full control over data ownership and storage infrastructure, the platform ensures that users retain sovereignty over their digital assets. The system distinguishes itself through a distributed architecture that coordinates background media synchronization, real-time filesystem moni

    Allocates system resources like CPU and RAM to ensure stable performance for intensive media processing and database operations.

    TypeScriptbackup-toolfluttergoogle-photos
    Vezi pe GitHub↗104,236
  • copy/v86Avatar copy

    copy/v86

    23,160Vezi pe GitHub↗

    v86 is a browser-based virtual machine and x86 hardware simulator that allows 16-bit and 32-bit operating systems to run directly within a web page. It functions as an x86 emulator for WebAssembly, simulating CPUs, memory, and storage devices to execute legacy software without original native hardware. The project utilizes a WebAssembly just-in-time compiler to translate x86 machine code into WebAssembly modules for high-performance execution in the browser. The system covers hardware emulation and lifecycle management, including the ability to boot from disk images, configure virtual hardwa

    Configures virtual hardware resources including memory capacity, video memory, and audio settings.

    JavaScriptemulatorvirtualizationwasm
    Vezi pe GitHub↗23,160
  • dockur/macosAvatar dockur

    dockur/macos

    18,649Vezi pe GitHub↗

    This project provides a containerized environment for running a full macOS desktop operating system. It utilizes a hardware-accelerated virtualization engine to execute the guest environment, allowing for the deployment and management of virtual machines through standard container orchestration tools. The platform distinguishes itself by enabling direct hardware passthrough, which maps physical host disks, partitions, and USB controllers directly into the virtual machine for native driver access. It also supports advanced network integration, allowing the guest system to obtain its own unique

    Allocates CPU, memory, and storage resources for virtualized guest environments.

    Shelldockerdocker-containermac
    Vezi pe GitHub↗18,649
  • raspberrypi/linuxAvatar raspberrypi

    raspberrypi/linux

    12,543Vezi pe GitHub↗

    This project is a monolithic operating system kernel designed to serve as the foundational software layer for diverse computing architectures and embedded platforms. It manages core system services, including processor scheduling, memory allocation, and hardware resource distribution, to facilitate communication between user applications and physical hardware. The kernel utilizes a hardware abstraction layer and platform-specific device trees to ensure consistent operation across a wide variety of processors and specialized computing devices. It supports dynamic functionality through loadable

    Allocates memory, processor cycles, and storage to maintain system performance and stability.

    C
    Vezi pe GitHub↗12,543
  • scylladb/seastarAvatar scylladb

    scylladb/seastar

    9,271Vezi pe GitHub↗

    Seastar is a C++ server application framework and asynchronous programming library designed for building high-performance, shared-nothing server applications. It functions as a high-performance I/O engine providing direct disk and network access through a shared-nothing framework that partitions data and execution across CPU cores. The framework distinguishes itself through a thread-per-core architecture that eliminates locking and resource contention by assigning one execution thread to each physical CPU core. It implements a userspace TCP/IP stack and kernel-bypass techniques, integrating w

    Provides scheduling groups to control the percentage of CPU time allocated to different system components.

    C++
    Vezi pe GitHub↗9,271
  • cavszhouyou/front-end-interview-notebookAvatar CavsZhouyou

    CavsZhouyou/Front-End-Interview-Notebook

    7,739Vezi pe GitHub↗

    This project is a front-end interview study guide and a collection of structured notes designed for technical job preparation. It serves as a comprehensive reference for web technologies, common technical interview questions, and JavaScript algorithm implementation. The notebook distinguishes itself by integrating specialized guides for web performance optimization, browser API documentation, and JavaScript algorithm references. It provides a structured approach to solving coding challenges involving data structures like binary trees, linked lists, and array manipulation. The content covers

    Explains how operating systems allocate CPU, memory, and storage resources to processes.

    Vezi pe GitHub↗7,739
  • maiot-io/zenmlAvatar maiot-io

    maiot-io/zenml

    5,452Vezi pe GitHub↗

    ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

    Reserves specific CPU, GPU, and memory capacity for individual pipeline steps to ensure infrastructure requirements are met during execution.

    Python
    Vezi pe GitHub↗5,452
  • briefercloud/brieferAvatar briefercloud

    briefercloud/briefer

    4,308Vezi pe GitHub↗

    Briefer is an interactive data notebook platform and business intelligence dashboard tool used for collaborative data analysis and reporting. It provides a containerized environment for building reports that combine SQL, Python, and Markdown with native visualizations. The platform features an integrated code assistant that uses large language models to generate SQL and Python snippets from natural language prompts. It is designed as a Kubernetes data application, deploying via Helm charts to manage isolated compute environments and ensure separate resources per page through pod-based isolati

    Sets specific CPU and memory limits for the execution environments to control performance and hardware usage.

    TypeScriptanalyticsbibigquery
    Vezi pe GitHub↗4,308
  • kubeflow/pipelinesAvatar kubeflow

    kubeflow/pipelines

    4,154Vezi pe GitHub↗

    Acest proiect este un motor de flux de lucru pentru machine learning containerizat și orchestrator conceput pentru a automatiza ciclul de viață end-to-end al modelelor de machine learning pe clustere Kubernetes. Funcționează ca un compilator de pipeline MLOps care transformă un limbaj specific domeniului în specificații structurate pentru implementare portabilă și scalabilă. Platforma oferă un mediu multi-tenant cu namespace-uri izolate și autentificare prin furnizor de identitate. Se distinge printr-o combinație de izolare a sarcinilor bazată pe containere, gestionarea artefactelor puternic tipizate pentru transferul de date și caching-ul rezultatelor adresabile prin conținut pentru a evita calculele redundante. Sistemul acoperă orchestrarea cuprinzătoare a fluxului de lucru, inclusiv execuția sarcinilor în paralel, programarea recurentă a rulărilor și logica de ramificare condiționată. De asemenea, suportă urmărirea experimentelor, colectarea metricilor fluxului de lucru și gestionarea componentelor de pipeline reutilizabile, cu posibilitatea de a configura cerințe specifice de resurse hardware pentru CPU, memorie și GPU. Software-ul este distribuit printr-un SDK Python și poate fi implementat în medii standalone, locale sau multi-tenant.

    Allows specifying CPU, memory, and GPU requirements for tasks to ensure appropriate hardware allocation on the cluster.

    Python
    Vezi pe GitHub↗4,154
  • opencontainers/runtime-specAvatar opencontainers

    opencontainers/runtime-spec

    3,641Vezi pe GitHub↗

    The project provides an open container runtime specification and standardized schema for defining container configurations, namespaces, resource limits, security policies, and filesystem mounts across platforms. It outlines the formal configuration formats, lifecycle operations, and execution environments necessary for portable, isolated container workloads. The specification covers container lifecycle management protocols and structured rules governing container creation, execution startup, process signaling, state tracking, and resource teardown. It standardizes local bundle packaging and

    Enforces configuration and limits for CPU, memory, and storage on isolated container workloads.

    Gocontainersdockeroci
    Vezi pe GitHub↗3,641
  • microvm-nix/microvm.nixAvatar microvm-nix

    microvm-nix/microvm.nix

    2,682Vezi pe GitHub↗

    microvm.nix is a declarative virtual machine manager and orchestrator for defining, building, and managing isolated guest environments using Nix. It functions as a virtual machine image builder that transforms system specifications into bootable disk images and runner scripts. The project provides a hypervisor abstraction layer, enabling the deployment of guest images across multiple virtualization backends through a unified configuration. It includes specialized tools for PCI hardware passthrough, granting virtual machines direct access to physical host USB and PCI devices. The framework co

    Allocates CPU cores, RAM, and network interfaces to define the hardware specifications of a virtual machine.

    Nixcloud-hypervisorcrosvmfirecracker
    Vezi pe GitHub↗2,682
  1. Home
  2. Operating Systems & Systems Programming
  3. Kernel and Core Internals
  4. System Resource Management
  5. Hardware Resource Allocation

Explorează sub-etichetele

  • Scheduling Group IsolationMechanisms to partition CPU time across different service components to prevent resource starvation. **Distinct from Hardware Resource Allocation:** Focuses on logical scheduling group proportions for CPU time rather than static hardware limit enforcement.