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Deploying neural networks and intelligent decision loops on raw silicon targets.
How Virtual Memory and Physical RAM learned to speak the same language.
The Memory Management Unit (MMU) is incredibly fast, translating addresses on every single CPU cycle. But how does it keep track of where each address belongs?
Imagine if the MMU stored a mapping for every single byte of memory. If a process had a 4 GB address space, the Page Table would need to store 4 billion entries! The map itself would take up many gigabytes of physical RAM, leaving no room for the actual programs.
To solve this, systems divide memory into equal-sized blocks rather than mapping individual bytes.
* Pages: The equal-sized blocks that partition the Virtual Address Space of a process. * Frames: The equal-sized blocks that partition the Physical RAM of the system.
Instead of translating individual byte coordinates, the Page Table simply translates entire Pages into Frames.
If we partition memory into blocks, a crucial rule emerges: Pages and Frames must be exactly the same size.
Why? Because the MMU never modifies the entire address sequence. It only replaces the Page Number with the physical Frame Number. The rest of the address—the Offset—remains completely untouched.
* Page Number: Represents which block in the virtual address space is being accessed. * Frame Number: Represents which physical block in the RAM chip is being targeted. * Offset: Represents the specific byte offset within that block.
Because the offset is identical on both sides, the index of the byte inside the Page is exactly the same as the index of the byte inside the Frame. If the sizes differed, the offset would point to a completely different byte, scrambling data structure alignments.
The offset never changes. Page 0x12 translates into Frame 0x8A, but offset 0x34 maps directly to offset 0x34 inside the destination frame.
So, what is the Page Table?
It is simply an array indexed by the Page Number. Each entry in the Page Table (often called a Page Table Entry, or PTE) contains the corresponding Frame Number where that page is physically loaded.
| Virtual Page Number | Valid Bit | Physical Frame Number |
|---|---|---|
| 0x00 | 1 | 0x07 |
| 0x01 | 1 | 0x02 |
| 0x02 | 1 | 0x0A |
| 0x03 | 1 | 0x05 |
If the CPU wants to access Virtual Address 0x011A (Page 0x01, Offset 0x1A), the MMU queries index 0x01 of the Page Table. The table returns Frame Number 0x02. The MMU then targets Physical Address 0x021A.
No math, no search loops. Just a direct index lookup.
Let's watch a single Virtual Address complete the translation pipeline.
We now know the language of memory: Page sizes match Frame sizes, letting us translate coordinates by simply swapping the block headers while leaving the internal offset untouched.
But a structural bottleneck exists:
The Physical RAM chip contains only a limited number of Frame slots. What happens when a process attempts to read a Page that isn't currently loaded into any of those physical frames?
The operating system must make room. But how does it decide which page to evict, and how does the hardware handle this missing memory link?
PrajnaEdge is a technology company exploring the space between understanding technology, experimenting with ideas, and turning them into things that can be experienced.
PrajnaEdge began with Embedded Systems — exploring the foundations that connect hardware, software and intelligent computation.
The first technology universe is built around that foundation. The journey will expand as new ideas, experiments and products emerge.
PrajnaEdge is a technology company created by Devaharsha Meesarapu.
I am the engineer behind the design, development, and content of PrajnaEdge. I build low-level systems where code directly controls hardware, bridging the gap between register-level silicon behavior and intelligent edge decision loops.
I am an Embedded Firmware Engineer focused on developing software for resource-constrained systems. My experience spans bare-metal firmware, device drivers, microcontroller peripherals, and communication protocols, working across the boundary between hardware and software.
My work has involved microcontroller-based systems, real-time behaviour, hardware interfaces, and communication technologies such as CAN, CAN FD, UART, SPI, and I²C. I am particularly interested in understanding systems from the lowest level upward—from registers and peripherals to intelligent edge systems.
Engineering is not just about writing code; it is about managing constraints, timings, and physical hardware characteristics. True mastery of complex systems comes from understanding the interactions across different layers of the stack.
This conviction is why I built PrajnaEdge—to bridge the gap between conceptual theory and direct, register-level physical reality.
Software that runs directly on hardware without an operating system.
"Every embedded application begins long before main()."
An Operating System manages hardware and software resources so complex applications can work efficiently.
"When one loop is no longer enough to carry the burden."
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PrajnaEdge is an interactive learning platform designed for systems engineers, developers, and technology enthusiasts. The educational materials, simulation blocks, and visual code tracers are provided for instruction and concept validation. We make no warranty regarding their completeness or applicability to real-world industrial systems.
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