Enter PAE (Physical Address Extension) — a hardware trick that lets 32-bit CPUs use up to 64 GB of RAM by juggling memory pages behind the scenes.
But the real upgrade? Go 64-bit. 🚀
Enter PAE (Physical Address Extension) — a hardware trick that lets 32-bit CPUs use up to 64 GB of RAM by juggling memory pages behind the scenes.
But the real upgrade? Go 64-bit. 🚀
Even if you install 8 GB RAM, most of it is wasted.
Why? The CPU just can’t “see” past 4 billion memory slots.
Unless you upgrade to 64-bit, you’re maxed out. 🧠💾
Even if you install 8 GB RAM, most of it is wasted.
Why? The CPU just can’t “see” past 4 billion memory slots.
Unless you upgrade to 64-bit, you’re maxed out. 🧠💾
It just sees binary instructions:
Move 5 to a register
Move 10 to another
Add them
Meaning? That’s all you.
CPU = executor
Software = storyteller
It just sees binary instructions:
Move 5 to a register
Move 10 to another
Add them
Meaning? That’s all you.
CPU = executor
Software = storyteller
Because ASCII was designed for efficiency, not simplicity.
Uppercase A–Z = 65–90
Lowercase a–z = 97–122
'A' = 01000001
'a' = 01100001
Just flip 1 bit to switch case 🤯
Because ASCII was designed for efficiency, not simplicity.
Uppercase A–Z = 65–90
Lowercase a–z = 97–122
'A' = 01000001
'a' = 01100001
Just flip 1 bit to switch case 🤯
Using a trained model to make predictions or give results on new, unseen data
Using a trained model to make predictions or give results on new, unseen data
TeraFLOP (TFLOP) = Trillion Floating-Point Operations Per Second
It measures how many trillions of floating-point calculations a processor can perform per second.
Real-World Examples:
TeraFLOP (TFLOP) = Trillion Floating-Point Operations Per Second
It measures how many trillions of floating-point calculations a processor can perform per second.
Real-World Examples:
Cores → Process data
Threads → Tasks handled by cores
So, threads are not inside transistors—they are tasks running on cores, which are made of transistors. 🚀
Cores → Process data
Threads → Tasks handled by cores
So, threads are not inside transistors—they are tasks running on cores, which are made of transistors. 🚀
🟢 Larger Data Units 📦 – Each "byte" stores more info, allowing for bigger numbers & precise storage.
🟠 More Complex Processing ⚡ – CPUs & memory are optimized for 8-bit bytes. Changing it means redesigning everything.
🟢 Larger Data Units 📦 – Each "byte" stores more info, allowing for bigger numbers & precise storage.
🟠 More Complex Processing ⚡ – CPUs & memory are optimized for 8-bit bytes. Changing it means redesigning everything.
Analogy:
Think of a core as a worker in a factory, and the transistors as the tiny gears and levers inside the worker's tools.
Analogy:
Think of a core as a worker in a factory, and the transistors as the tiny gears and levers inside the worker's tools.
RAM is like a workbench. The bigger your bench (25GB RAM), the more projects (tasks) you can work on at once without putting things away. If your workbench is small, you have to keep switching tasks, slowing you down.
RAM is like a workbench. The bigger your bench (25GB RAM), the more projects (tasks) you can work on at once without putting things away. If your workbench is small, you have to keep switching tasks, slowing you down.
Think of it as a highway. A 32-bit system has 32 lanes, a 64-bit system has 64 lanes. More lanes mean you can move more cars (data) at once, making the system faster and able to handle bigger tasks.
Think of it as a highway. A 32-bit system has 32 lanes, a 64-bit system has 64 lanes. More lanes mean you can move more cars (data) at once, making the system faster and able to handle bigger tasks.
Memory (RAM) is like a library. It stores books (data), but doesn’t read them. The CPU (brain) asks for a book and reads it.
Memory (RAM) is like a library. It stores books (data), but doesn’t read them. The CPU (brain) asks for a book and reads it.
Imagine you're cooking, but your ingredients are in another room. You waste time walking back and forth. That’s how computers work when the processor (kitchen) is far from memory (ingredients).
Imagine you're cooking, but your ingredients are in another room. You waste time walking back and forth. That’s how computers work when the processor (kitchen) is far from memory (ingredients).
Think of transistors like tiny light switches. They turn ON (1) or OFF (0) to create patterns of electricity. These patterns represent numbers, letters, images—everything in a computer.
Think of transistors like tiny light switches. They turn ON (1) or OFF (0) to create patterns of electricity. These patterns represent numbers, letters, images—everything in a computer.
For example,
A super-fast chef (CPU/GPU) cooking meals.
A slow waiter (memory bus) delivering the food.
For example,
A super-fast chef (CPU/GPU) cooking meals.
A slow waiter (memory bus) delivering the food.