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🔄 Process āĻ“ Threads:

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🧠 ā§§. Process:

âš™ī¸ Process āϕ⧀?

āϧāϰ⧋, āφāĻŽāϰāĻž āĻāĻ•āϟāĻŋ āĻĢāĻžāχāϞ⧇ āĻ•āĻŋāϛ⧁ set of instructions āϞāĻŋāϖ⧇ āϰāĻžāĻ–āϞāĻžāĻŽ — āĻ āĻŋāĻ• āϝ⧇āĻŽāύāĻ­āĻžāĻŦ⧇ āĻāĻ•āϟāĻž .js āĻĢāĻžāχāϞ⧇ āϕ⧋āĻĄ āϞāĻŋāĻ–āĻŋāĨ¤

āĻāχ āĻĢāĻžāχāϞāϟāĻŋ āφāĻŽāĻžāĻĻ⧇āϰ āĻ•āĻŽā§āĻĒāĻŋāωāϟāĻžāϰ⧇āϰ SSD āĻŦāĻž HDD-āϤ⧇ āϏāĻ‚āϰāĻ•ā§āώāĻŋāϤ āĻĨāĻžāϕ⧇āĨ¤

❗ āĻ•āĻŋāĻ¨ā§āϤ⧁ āϤāĻ–āύ⧋ āĻāχ āϕ⧋āĻĄ āϕ⧇āĻŦāϞ āĻāĻ•āϟāĻŋ āĻĢāĻžāχāϞ āĻŽāĻžāĻ¤ā§āϰ — āĻ…āύ⧇āĻ•āϟāĻž .doc āĻĢāĻžāχāϞ⧇āϰ āĻŽāϤ⧋, āϝ⧇āϟāĻŋ āĻļ⧁āϧ⧁ āϞ⧇āĻ–āĻž — āĻāĻ•ā§āϏāĻŋāĻ•āĻŋāωāĻŸā§‡āĻŦāϞ āύ⧟āĨ¤


â–ļī¸ āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽ āϰāĻžāύ āĻ•āϰāĻžāϞ⧇ āϕ⧀ āĻšā§Ÿ?

āϝāĻ–āύ āφāĻĒāύāĻŋ āĻāχ āĻĢāĻžāχāϞāϟāĻŋ run āĻ•āϰāϤ⧇ āϚāĻžāύ, āϤāĻ–āύ:

  • āĻ“āχ āϕ⧋āĻĄāϟāĻŋ RAMāĻ āϞ⧋āĻĄ āĻšā§ŸāĨ¤
  • āϞ⧋āĻĄ āĻšāĻ“ā§ŸāĻž āϕ⧋āĻĄāϟāĻŋ āĻāĻ•āϟāĻŋ environment-āĻāϰ āĻŽāĻ§ā§āϝ⧇ āϚāĻžāϞ⧁ āĻšā§Ÿ, āϝ⧇āĻ–āĻžāύ⧇ āϏ⧇āϟāĻŋ āĻŦāĻžāĻ¸ā§āϤāĻŦāĻ­āĻžāĻŦ⧇ āĻ•āĻžāϜ āĻ•āϰāϤ⧇ āĻĒāĻžāϰ⧇āĨ¤

āĻāχ āϚāϞāĻŽāĻžāύ environment-āϕ⧇āχ āĻŦāϞāĻž āĻšā§Ÿ 👉 ProcessāĨ¤

āĻ…āĻ°ā§āĻĨāĻžā§Ž,

āĻāĻ•āϟāĻŋ āĻĢāĻžāχāϞ āĻļ⧁āϧ⧁ āϕ⧋āĻĄ āϧāĻžāϰāĻŖ āĻ•āϰ⧇,

āĻ•āĻŋāĻ¨ā§āϤ⧁ āϝāĻ–āύ āϏ⧇āϟāĻŋ RAM-āĻ āĻ—āĻŋā§Ÿā§‡ āĻāĻ•āϟāĻŋ Active Execution Context āϤ⧈āϰāĻŋ āĻ•āϰ⧇ āĻāĻŦāĻ‚ āĻ•āĻžāϜ āĻļ⧁āϰ⧁ āĻ•āϰ⧇ — āϤāĻ–āύ āϏ⧇āϟāĻŋāχ āĻāĻ•āϟāĻŋ ProcessāĨ¤


āĻāχ āĻĒā§āϰāϏ⧇āϏ⧇āϰ āĻŽāĻ§ā§āϝ⧇āχ āϚāϞ⧇ āϕ⧋āĻĄ āĻāĻ•ā§āϏāĻŋāĻ•āĻŋāωāĻļāύ, āĻŽā§‡āĻŽā§‹āϰāĻŋ āĻ…ā§āϝāĻžāĻ•ā§āϏ⧇āϏ, CPU āĻ•āĻžāϜ āχāĻ¤ā§āϝāĻžāĻĻāĻŋāĨ¤

āϤāĻžāχ āϝāĻ–āύ āĻŦāϞāĻž āĻšā§Ÿ, “āĻāĻ•āϟāĻž āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽ āϰāĻžāύ āĻšāĻšā§āĻ›ā§‡â€ — āϤāĻžāϰ āĻŽāĻžāύ⧇ āĻŽā§‚āϞāϤ āĻāĻ•āϟāĻž āĻĒā§āϰ⧋āϏ⧇āϏ āϚāϞāϛ⧇āĨ¤

🧰 Process āĻāϰ Resources (āωāĻĒāĻžāĻĻāĻžāύāϏāĻŽā§‚āĻš)

āĻāĻ•āϟāĻŋ Process āϝāĻ–āύ āϰāĻžāύ āĻ•āϰ⧇, āϤāĻ–āύ āϏ⧇āϟāĻž āϕ⧇āĻŦāϞ āϕ⧋āĻĄ āϚāĻžāϞāĻžā§Ÿ āύāĻž — āĻŦāϰāĻ‚ āϤāĻžāϰ āϚāϞāĻžāϰ āϜāĻ¨ā§āϝ āĻ…āύ⧇āĻ• Resource āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇āĨ¤ āύāĻŋāĻšā§‡ āĻāĻ•āϟāĻŋ process-āĻāϰ āĻŽā§‚āϞ resource āϗ⧁āϞ⧋ āϤ⧁āϞ⧇ āϧāϰāĻž āĻšāϞ⧋:

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🧠 ā§§. Memory (RAM)

  • āĻĒā§āϰ⧋āϏ⧇āϏ āϚāϞāĻžāϰ āϏāĻŽā§Ÿ āϤāĻžāϰ āϕ⧋āĻĄ āĻ“ āĻĄā§‡āϟāĻž RAMāĻ āϞ⧋āĻĄ āĻšā§ŸāĨ¤
  • Stack, Heap, āĻ“ Variables āĻāĻ–āĻžāύ⧇āχ āĻĨāĻžāϕ⧇āĨ¤

âš™ī¸ ⧍. CPU Time

  • āϕ⧋āĻĄ execute āĻ•āϰāĻžāϰ āϜāĻ¨ā§āϝ āĻĒā§āϰ⧋āϏ⧇āϏ CPUāϰ āϏāĻŽā§Ÿ āĻ¨ā§‡ā§ŸāĨ¤
  • āϝāĻĻāĻŋ āĻ…āύ⧇āĻ• āĻĒā§āϰ⧋āϏ⧇āϏ āĻāĻ•āϏāĻžāĻĨ⧇ āϚāϞ⧇, āϤāĻ–āύ CPU scheduling āĻšā§ŸāĨ¤

đŸ—ƒī¸ ā§Š. Files / File Descriptors

  • āϕ⧋āύ⧋ āĻĒā§āϰ⧋āϏ⧇āϏ āϝāĻ–āύ āĻĢāĻžāχāϞ āĻĒā§œā§‡ āĻŦāĻž āϞ⧇āϖ⧇, āϤāĻ–āύ āϏ⧇āϟāĻŋ āĻĢāĻžāχāϞ descriptor āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇āĨ¤
  • āϝ⧇āĻŽāύ: fs.readFile() call āĻ•āϰāϞ⧇ Node.js backend-āĻ file system access āĻ•āϰ⧇āĨ¤

🌐 ā§Ē. Network Accesspng)

  • API call, socket connection, āĻ…āĻĨāĻŦāĻž web server āϚāĻžāϞāĻžāϤ⧇ network ports āĻŦā§āϝāĻŦāĻšā§ƒāϤ āĻšā§ŸāĨ¤
  • āϝ⧇āĻŽāύ: Express.js āĻ…ā§āϝāĻžāĻĒ 3000 port-āĻ listen āĻ•āϰ⧇āĨ¤

đŸ§ĩ ā§Ģ. Threads (Main & Worker)

  • Node.js āĻŽā§‚āϞāϤ single-threaded, āĻ•āĻŋāĻ¨ā§āϤ⧁ CPU-intensive āĻ•āĻžāĻœā§‡āϰ āϜāĻ¨ā§āϝ Thread Pool āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇āĨ¤

🔁 ā§Ŧ. Event Loop & Call Stack

  • Node.js asynchronous āĻ•āĻžāϜ āĻ•āϰāĻžāϰ āϜāĻ¨ā§āϝ event loop āĻāĻŦāĻ‚ callback queue āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇āĨ¤

🎮 ā§­. GPU (Graphics Processing Unit)

  • āĻ•āĻŋāϛ⧁ process (āĻŦāĻŋāĻļ⧇āώ āĻ•āϰ⧇ heavy computation āĻŦāĻž graphical rendering āĻāϰ āϜāĻ¨ā§āϝ) GPU āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰāϤ⧇ āĻĒāĻžāϰ⧇āĨ¤
  • Modern workloads āϝ⧇āĻŽāύ: machine learning, video processing, WebGL rendering āχāĻ¤ā§āϝāĻžāĻĻāĻŋāϤ⧇ GPU āϖ⧁āĻŦāχ āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖāĨ¤
  • āϝāĻĻāĻŋāĻ“ Node.js āϏāϰāĻžāϏāϰāĻŋ GPU access āĻ•āϰ⧇ āύāĻž, āϤāĻŦ⧇ āĻ•āĻŋāϛ⧁ āϞāĻžāχāĻŦā§āϰ⧇āϰāĻŋāϰ āĻŽāĻžāĻ§ā§āϝāĻŽā§‡ GPU-āϕ⧇ compute task āĻāϰ āϜāĻ¨ā§āϝ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰāĻž āϝāĻžā§Ÿ (āϝ⧇āĻŽāύ tensorflow.js, gpu.js)āĨ¤

đŸ“Ļ āĻāĻ•āϟāĻŋ Process āϕ⧀ āϧāĻžāϰāĻŖ āĻ•āϰ⧇?

āĻāĻ•āϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ āĻļ⧁āϧ⧁āĻŽāĻžāĻ¤ā§āϰ āϕ⧋āĻĄ āϚāĻžāϞāĻžā§Ÿ āύāĻž — āĻāϟāĻŋ āύāĻŋāϜāĻ¸ā§āĻŦ āĻ•āĻŋāϛ⧁ āϗ⧁āϰ⧁āĻ¤ā§āĻŦāĻĒā§‚āĻ°ā§āĻŖ āωāĻĒāĻžāĻĻāĻžāύ āϧāĻžāϰāĻŖ āĻ•āϰ⧇, āϝ⧇āĻŽāύ:

🔧 āĻāĻ•āϟāĻŋ Process āϏāĻžāϧāĻžāϰāĻŖāϤ āϧāĻžāϰāĻŖ āĻ•āϰ⧇:

🧩 Component📖 Description (āĻŦāĻžāĻ‚āϞāĻžā§Ÿ)
Processor RegistersCPU-āϤ⧇ āĻ…āĻ¸ā§āĻĨāĻžā§Ÿā§€āĻ­āĻžāĻŦ⧇ āĻŦā§āϝāĻŦāĻšā§ƒāϤ āĻĄā§‡āϟāĻž āϰāĻžāĻ–āĻžāϰ āϜāĻ¨ā§āϝ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻšā§ŸāĨ¤
Program Counter (PC)āϕ⧋āύ āϞāĻžāχāύ āĻŦāĻž āχāύāĻ¸ā§āĻŸā§āϰāĻžāĻ•āĻļāύ āĻĒāϰāĻŦāĻ°ā§āϤ⧀āĻŦāĻžāϰ execute āĻšāĻŦ⧇ āϤāĻž āĻŸā§āĻ°ā§āϝāĻžāĻ• āĻ•āϰ⧇āĨ¤
Stack Pointer / Stack CounterStack memory āĻāϰ āϟāĻĒ āĻŸā§āĻ°ā§āϝāĻžāĻ• āĻ•āϰ⧇ — āϝ⧇āĻ–āĻžāύ⧇ āĻĢāĻžāĻ‚āĻļāύ⧇āϰ āĻ•āϞ, āϰāĻŋāϟāĻžāĻ°ā§āύ āĻ…ā§āϝāĻžāĻĄā§āϰ⧇āϏ, āϞ⧋āĻ•āĻžāϞ āĻ­ā§āϝāĻžāϰāĻŋā§Ÿā§‡āĻŦāϞ āχāĻ¤ā§āϝāĻžāĻĻāĻŋ āĻĨāĻžāϕ⧇āĨ¤
Memory (RAM)āĻĒā§āϰāϤāĻŋāϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ āϤāĻžāϰ āύāĻŋāϜāĻ¸ā§āĻŦ āϕ⧋āĻĄ, āĻĄā§‡āϟāĻž, Stack āĻ“ Heap āϏāĻš āĻāĻ•āϟāĻŋ āφāϞāĻžāĻĻāĻž āĻŽā§‡āĻŽā§‹āϰāĻŋ āϏ⧇āĻ•āĻļāύ āĻŦā§āϝāĻŦāĻšāĻžāϰ āĻ•āϰ⧇āĨ¤

đŸ§Ŧ Multiple Process, Multiple Context

  • āĻāĻ•āϟāĻŋ āϏāĻŋāĻ¸ā§āĻŸā§‡āĻŽā§‡ āĻāĻ•āĻžāϧāĻŋāĻ• āĻĒā§āϰ⧋āϏ⧇āϏ āĻāĻ•āϏāĻžāĻĨ⧇ āĻĨāĻžāĻ•āϤ⧇ āĻĒāĻžāϰ⧇ (Parallel āĻŦāĻž Concurrent)āĨ¤
  • āĻĒā§āϰāϤāĻŋāϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ⧇āϰ āĻĨāĻžāϕ⧇:
    • āφāϞāĻžāĻĻāĻž Code Segment
    • āφāϞāĻžāĻĻāĻž Data Segment
    • āφāϞāĻžāĻĻāĻž Stack
    • āφāϞāĻžāĻĻāĻž Heap

āϤāĻžāχ āĻāĻ•āϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ⧇āϰ Environment āĻŦāĻž Memory Context, āĻ…āĻ¨ā§āϝ āφāϰ⧇āĻ•āϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ⧇āϰ āϏāĻžāĻĨ⧇ āĻŽāĻŋāϞ⧇ āύāĻž āĻāĻŦāĻ‚ āĻŽā§‡āĻļ⧇ āύāĻžāĨ¤


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🔁 ⧍. Thread:

đŸ§ĩ Thread āϕ⧀?

Thread āĻšāĻšā§āϛ⧇ āĻāĻ•āϟāĻŋ unit of execution, āĻ…āĻ°ā§āĻĨāĻžā§Ž code execution-āĻāϰ āĻ•ā§āώ⧁āĻĻā§āϰāϤāĻŽ āĻāĻ•āĻ•āĨ¤

āφāĻŽāϰāĻž āϝāĻ–āύ āϕ⧋āύ⧋ āĻĒā§āϰ⧋āĻ—ā§āϰāĻžāĻŽ āϰāĻžāύ āĻ•āϰāĻŋ, āϤāĻ–āύ āĻĒ⧁āϰ⧋ process āϟāĻž āĻāĻ•āϏāĻžāĻĨ⧇ āύāĻž āĻšā§Ÿā§‡ unit by unit āĻŦāĻž āϧāĻžāĻĒ⧇ āϧāĻžāĻĒ⧇ execute āĻšā§ŸāĨ¤

āĻāχ āĻĒā§āϰāϤāĻŋāϟāĻŋ execution unit-āχ āĻšāϞ⧋ ThreadāĨ¤


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🧠 āĻāĻ•āϟāĻŋ Thread āϏāĻžāϧāĻžāϰāĻŖāϤ āϧāĻžāϰāĻŖ āĻ•āϰ⧇:

  • Stack
  • Registers
  • Program Counter

āĻāĻ•āϟāĻŋ āĻĒā§āϰ⧋āϏ⧇āϏ⧇ āĻāĻ•āĻžāϧāĻŋāĻ• āĻĨā§āϰ⧇āĻĄ āĻĨāĻžāĻ•āϤ⧇ āĻĒāĻžāϰ⧇, āϤāĻ–āύ āϤāĻžāϕ⧇ āĻŦāϞ⧇ Multithreaded ProcessāĨ¤

āφāϰ āϝāĻĻāĻŋ āĻļ⧁āϧ⧁āĻŽāĻžāĻ¤ā§āϰ āĻāĻ•āϟāĻŋ āĻĨā§āϰ⧇āĻĄ āĻĨāĻžāϕ⧇, āϤāĻ–āύ āϤāĻžāϕ⧇ āĻŦāϞ⧇ Single Threaded ProcessāĨ¤


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đŸŸĸ Node.js Process & Thread

Node.js āύāĻŋāĻœā§‡āχ āĻāĻ•āϟāĻŋ Process, āϝ⧇āϟāĻž Single ThreadedāĨ¤

  • āĻ…āĻ°ā§āĻĨāĻžā§Ž, Node.js āĻ āĻāĻ•āϟāĻŋ āĻŽāĻžāĻ¤ā§āϰ Thread āĻĨāĻžāϕ⧇ — āϝ⧇āϟāĻž āĻāĻ•āϟāĻžāϰ āĻĒāϰ āĻāĻ•āϟāĻž āĻ•āĻžāϜ sequentially execute āĻ•āϰ⧇āĨ¤

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