KnowTechGlobal

KNOW: TECH delivers short and long, focused episodes exploring modern technology, from software and hardware to AI, cybersecurity, startups, and the systems pow

[KnowTechGlobal @KnowTechGlobal]

Bloom Filter: Check Millions of Items Without Storing Them

#bloomfilter #bitarray #hashfunctions #setmembership #computerscience

▶ https://t.co/I7Chw1m1us

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https://t.co/Ka8NwxSF6B

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Mechanical Keyboard Switch: When Does It Actually Register?

#mechanicalkeyboardswitch #howmechanicalkeyboardswork #keyboardswitchactuation #keyboardactuationpoint #mechanicalkeyboardswitchcontacts

▶ https://t.co/I7Chw1m1us

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RAID 1: Why Two Mirrored Hard Drives Give Half The Storage

#RAID1 #mirroredharddrives #RAIDmirroring #RAID1storage #harddrivebackup

▶ https://t.co/I7Chw1m1us

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https://t.co/BxOuUrl4g2

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GPU Triangle Rendering: How Cards Draw Millions Every Second

#GPUtrianglerendering #graphicscard3Drendering #GPUgraphicspipeline #howGPUsrendertriangles #GPUrasterization

▶ https://t.co/I7Chw1m1us

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B-Tree Index: How Databases Find 1 Row in Billions

#B-treeindex #databaseindex #B-treesearch #howdatabaseindexworks #SQLindexing

▶ https://t.co/I7Chw1m1us

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https://t.co/9STIyfalcy

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A 60-second look at what makes a GPU different from a CPU, and why that difference matters for both graphics and AI.

A CPU has a few large cores that work through tasks one after another. A GPU has thousands of small cores that run the same instruction across huge amounts of data at once. That single design choice explains everything else about the chip.

What's covered:

0:00 — CPU: four cores, one task each 0:15 — GPU: thousands of cores in lockstep
0:26 — Inside the die: scheduler, SMs, L2 cache, VRAM
0:37 — Building one frame: triangles → shading → pixels
0:52 — Why AI runs here: matrix math at scale

Two million pixels per frame, sixty frames per second, each pixel computed independently. The same trick that draws a game frame is the one that trains a neural network.

#GPU #ComputerScience #ComputerArchitecture #AI #CUDA #Explainer

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Garbage Collector: How Your RAM Knows What to Erase

#garbagecollector #computerRAM #memorymanagement #garbagecollection #howgarbagecollectionworks

▶ https://t.co/I7Chw1m1us

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Virtual Memory: How Much RAM Does an App Actually Get?

#virtualmemory #physicalRAM #howRAMworks #pagetables #memorymanagementunit

▶ https://t.co/I7Chw1m1us

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CPU Branch Predictor: What Happens When It Guesses Wrong?

#CPUbranchpredictor #branchprediction #speculativeexecution #CPUarchitecture #processordesign

▶ https://t.co/I7Chw1m1us

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How a Compiler Turns C Source Code Into an Executable

#compiler #Csourcecode #executable #machineinstructions #abstractsyntaxtree

▶ https://t.co/I7Chw1m1us

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8-Byte Packet Header: Why UDP Streams Live Data Without Delays

#8-bytepacketheader #UDPheader #UDPprotocol #UDP #networking

▶ https://t.co/I7Chw1m1us

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https://t.co/tCFvGZtF8h

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Watch the option-stack example.

https://t.co/dnXIZbURS6

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Enterprise Edition is the base, not the bundle.

Teams often assume clustering and advanced diagnostics come with the main database license. In Oracle land, major capabilities can be separate options layered on top of the Processor count.

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TCP Handshake: How Many Sequence Numbers Does a SYN Packet Burn?

#TCPhandshake #SYNpacket #sequencenumber #TCPIP #networkingbasics

▶ https://t.co/YqzSxBEtUa

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DNS Lookup: How 4 Servers Find a Website in Milliseconds

#DNSlookup #webbrowseraddressbar #domainnamesystem #howDNSworks #IPaddress

▶ https://t.co/v0H71rqjpZ

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Watch the full core-factor breakdown.

https://t.co/dnXIZbURS6

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A 64-core AMD x86 server can become 32 Oracle Processors before options or support are added.

That is the trick most teams miss: Oracle is not just counting cores. It is reclassifying them through a table.