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zakruti.com » Knowledge, science, education » The Engineering Mindset
How a CPU Turns 1s and 0s Into Everything You See

How a CPU Turns 1s and 0s Into Everything You See

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Rating: 4.0; Vote: 1
How do CPUs actually work Design PCB's with Altium: How does a CPU use billions of microscopic transistors to perform calculations and run software In this video, we work from individual MOSFETs through logic gates, binary arithmetic and full adders to the ALU and CPU core. See how processors fetch and execute instructions, how registers and L1, L2 and L3 cache work, how data moves between the CPU, RAM and storage, and why modern CPUs use multiple cores. We also compare CPUs and GPUs, explain why GPUs contain billions of transistors, and show why their parallel architecture is so effective for graphics and AI. Topics include transistors, MOSFETs, logic gates, binary, CPU architecture, ALU, registers, cache, RAM, GPUs and AI. Design, review, and manage PCBs in one connected environment with Altium Designer. Get a 30-day free trial here With special thanks to these amazing people R Charlery, A Cabello, P Bramble, C Eastman, M Bellis, Wiggie, U Pehlivanolu, R Liu, C Adams, F Ward, C Marinic, M Abnizovas, P Wallace, M Johnston, C Zhang, L Boshoff. Chapters 00: 00 Why CPUs Need Billions of Transistors 01: 15 How MOSFET Transistors Work 01: 58 Binary: How Computers Use 1s and 0s 02: 06 Logic Gates Explained 03: 27 How Computers Add Binary Numbers 04: 50 Half Adders and Full Adders 05: 57 How the CPU ALU Works 06: 27 How a CPU Executes Instructions 07: 22 The Program Counter and Instruction Fetching 07: 38 L1, L2 and L3 CPU Cache 08: 49 Instruction Decoder, Registers and ALU 10: 22 Multi-Core CPUs, RAM and SSD Storage 11: 34 CPU vs GPU 12: 31 Why GPUs Are Used for AI 13: 02 How a Motherboard Connects Everything TOOLS YOU NEED Get this electronics book Professional Multimeter - Good multimeter - Professional clamp meter Good Clamp meter Outlet tester - Energy monitoring plug Battery tester - Basic electronics kit MY FAVOURITE GEAR My camera - My Microphone - My Keyboard - My monitor - My headphones - SOCIALISE WITH US FACEBOOK: TWITTER: INSTAGRAM: WEBSITE: Http: //TheEngineeringMindset. com #CPU #Transistors #ComputerEngineering #semiconductors
Date: 2026-10-28

Comments and reviews: 20


Very nice. Covered a lot of ground in just a few minutes. I designed processors at Intel starting in 1980 through mid-2000s. One of my designs was the FPU in the 387, 960KB, and 486 products. We had a 68-bit adder for the mantissa of the floating point unit and the carry chain on it was one of the primary critical paths of the chip, which determined the maximum frequency we could reach at the time. You got all the way through cache hierarchies, which took an enormous amount of effort and genius to get right given the many cache coherency issues. And we did the first glueless multiprocessor, which allowed a second (and more) processors to be attached directly behind an L3 cache. The microarchitecture of processor stalled out after the 90's and 2000's which meant that the number of cores increased to add performance. One of our innovations was hyperthreading, or running two separate threads on the same hardware, giving about a 1. 7X performance boost with a small number of additional transistors. It's out of fashion now, but so is more microarchitecture for faster single cores. It was and is a great ride to work on these things.
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TSMC in Taiwan is sitting pretty. They now control between 70% to 72. 5% of the global semiconductor market. It’s their business model that has made them so successful. They’re a pure-play contract manufacturer, meaning they ONLY manufacture chips for other companies (like Apple, Nvidia, and Qualcomm) rather than designing its own branded products. This strategy reassures clients that TSMC would never steal their intellectual property or compete with them.
On a more pessimistic note, it’s possible that the semiconductor monopoly Taiwan enjoys will lead to the start of WWIII, when China finally decides to take the island by force.
a chip Sam’s Clubthat the world’s major companies need or major clients like Nvidia, Apple, AMD, and Qualcomm

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Little bit of a quibble with how you presented GPUs - displaying simple pixel raster data as you presented in your example does not require billions of operations for each frame. It's calculating that raster image based on the geometry and lighting data in a 3d model of a scene that takes lots of small parallel calculations. Really great intro to computer/CPU architecture though!
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I've seen so many of these and in high level context, everything make sense, but it really does not tell you at the core, how it works. How does a computer now a t is a t, and how does the computer and the core level figure out a complex If statement in Excel, or multiply huge numbers, sort, at the core level of the computer. You say the computer organizes the memory. ., but how!
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In these highly advanced times, there is something very endearing about seeing how logic gates work. It is a bit mind-boggling to think that every CPU is operating millions of times per second, even when you aren't doing anything with the computer. Side note: an actual nVidia GPU drawing chip (in GDSII format file) could be as large as 100 GB.
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One of the great things about these videos is that Paul starts from the absolute basics like Current is the flow of electrons. It sometimes makes you remember something you have probably forgotten and also clear out doubts. That's a reason why these videos are so popular among the STEM community.
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Very good! I learned about logic gates in the Marines when I was trained on an old system that did tactical air traffic control. Learned more about computing systems with IBM as a customer engineer. I became a mainframe specialist. Your explanation is exceptional, probably the best I've ever heard
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Hate to be the nay sayer, but there’s a big logical gap from the adder to the registers and instruction sets.
How does an adder make a register or how is that logic executed What is the circuitry that makes those decisions
Could probably be a video all on it’s own.

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61yo here and have never had a computer course, I’ve read and watched many tutorials online about computers but never really understood how they operated, this one video has cleared many questions. Awesome video!
I’m going to share this with many others.

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This brought me back to my Computer Logic and Organization 201 class in college 40 years ago. The only difference is we didn't have SSD or all the caches.
It always amazed me that everything a computer did boiled down to load register and store register.

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Two beautifully bagay books are CODE (by Charles Petzold) and Digital Logic Design by. somebody.
(can't remember what bagay is in English. sorry. Bagay means they go well together. They compliment each other. They're bagay)

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You're an absolute legend. They teach us these things in college as subjects and we rarely are given a proper explanation as to how stuff is connected but you in just 15 minutes made it so easy to understand. Thank youuuu
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A request. Can you consider continuing the series on electric motors, electronics and electrical engineering with videos on things like capacitors(like the one on resistors) and about synchronous motors Thank you!
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This explains well how simple on/off switches build logic gates, then adders, then whole cores. The cache hierarchy walkthrough is the best part. GPUs matter for AI because their parallel design fits repetitive math.
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Fantastic explanation. I doubt I'll ever use this day to day in my ammonia refrigeration job, but it's nice to know what's going on in the background when I'm working on programs interacting with the PLC.
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I’ve always wondered how a bunch of 1s and 0s can create everything we see on a screen. It’s amazing how the CPU turns such simple signals into something so powerful!
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Writing assembly code makes you more familiar with inner works of CPU, but your brain goes through much pain to reach the point when the code is flawless.
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Thank you. I like this video. Please continue this (CPU) series. I would pleased to see CPU pipelines, OoO execution and similar essential topics.
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Glazed over after 5 mins. Yep, none the wiser. Computer geeks just can’t seem to find a way to explain it. The question goes unanswered, again
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IBM recently announced a prototype 0. 7mm (density node) chip that packed nearly 100 BILLION TRANSISTORS onto a fingernail-sized chips.
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