PrajnaEdge
A curiosphere for curious minds who want to understand, experiment with, and experience technology.
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Where does intelligence run?

Explore AI that moves inference closer to the data — from the edge to the device itself.

AI inference runs at or near the point where data is generated, rather than relying on a remote cloud.
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Image Classification

Can this image classifier maintain its intelligence while becoming small enough for the edge?

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Edge AI Playground

Image Classification

Can this image classifier maintain its intelligence while becoming small enough for the edge?

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Model size
4.91 MiB
Largest activation
~625 KiB
Test accuracy
99.11%
Measured model accuracy
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On-Device AI Playground
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Explore the ideas, systems and connections that shape technology — choose any node to begin your journey.

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Embedded Systems Tree

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Deploying neural networks and intelligent decision loops on raw silicon targets.

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Operating Systems

When Memory Follows Meaning

Organizing memory around the logical structure of a program.

Operating SystemsMemory ManagementSegmentationLogical Address SpaceFragmentation

1. Beyond Fixed-Size Pages

Paging gives us a powerful way to manage physical memory by breaking a program into fixed-size pages. Because these pages are uniform and can occupy any available, non-contiguous physical frame in RAM, paging generally avoids external fragmentation entirely.

But a program is not just a collection of anonymous, fixed-size pages. It consists of logical components with distinct purposes and boundaries—such as code, data, stack, and heap. What if memory did not have to be organized only as fixed-size pages?

What if memory management followed the logical boundaries of the program itself instead? This approach is called Segmentation.

However, organizing memory around variable-sized logical segments introduces its own challenges. While different segments of a program can be placed at different locations in physical memory, each individual segment must occupy a contiguous physical region. Because these segments vary in size, allocating and deallocating them over time as processes start and stop leaves physical memory divided into scattered, variable-sized free holes.

This creates the problem of External Fragmentation: a state where total free memory is technically sufficient to satisfy a segment allocation request, but no single contiguous physical block is large enough to host it.

2. Logical Components of a Program

In practice, a running program does not view its own memory as a single, uniform linear array of bytes. Instead, compilers and programmers organize a program into distinct logical components, each serving a different purpose:

* CODE: The compiled executable instructions (read-only and executable). * DATA: Global variables and static constants initialized at load time. * STACK: Function frames, parameters, return addresses, and local variables. * HEAP: Dynamic memory allocated at runtime by the programmer.

Each of these components is a Segment—a logical unit of variable size.

Segmentation is a memory-management strategy that maps these logical divisions directly to physical memory.

* Paging: * Uses fixed-size Pages. * Pages can be placed in non-contiguous physical Frames. * External fragmentation is avoided. * Internal fragmentation is possible within the final page block. * Segmentation: * Uses variable-sized logical Segments. * Each segment occupies a contiguous physical region. * Different segments can be located at different places in RAM. * External fragmentation is possible as segments are created and destroyed.

3. EdgeCase: Logical-to-Physical Segment Mapping

Let us look at how the logical segments of a program are placed into physical memory.

In this scenario, a program is composed of four logical segments of varying sizes: a CODE segment (8 KB), a DATA segment (4 KB), a STACK segment (6 KB), and a HEAP segment (12 KB).

Unlike paging, these segments are not chopped up into equal-sized pages; they are mapped directly to physical RAM locations as whole units.

4. Manthana: External Fragmentation

By organizing memory around variable-sized segments, we align physical allocation with the logical structure of a program.

However, this flexibility introduces a major constraint: each individual segment requires a contiguous physical region. As segments of varying sizes are allocated and freed over time, physical memory becomes divided into a series of scattered free holes and allocated blocks.

What happens when we need to allocate a new segment under these conditions?

5. The Search for a Strategy

We have now encountered a different memory-allocation problem.

External fragmentation leaves free memory scattered between allocations. If a segment needs one contiguous region, scattered free space may not be enough.

Can we choose where to place a segment intelligently so that fragmentation is reduced?

System Tree Node Operating Systems

PrajnaEdge

Engineering concepts you don't just read — you experience.
Founded in 2026.

PrajnaEdge is a technology company exploring the space between understanding technology, experimenting with ideas, and turning them into things that can be experienced.

Our Mission

To make technology easier to explore, deeper to understand, and more exciting to experience.

Our Vision

To build a technology ecosystem where curiosity, experimentation and creation continuously lead to one another.

Where it began

Embedded Systems

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.

CREATOR PROFILE

Devaharsha Meesarapu

Embedded Systems • Firmware • Edge AI

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.

View Resume →

ABOUT ME

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 PHILOSOPHY

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.

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Interested in embedded systems, AI, or building something meaningful? I'd love to hear from you.
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Bare Metal

Software that runs directly on hardware without an operating system.

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Operating Systems
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Bare Metal
Processor
Hardware

"Every embedded application begins long before main()."

Operating Systems

An Operating System manages hardware and software resources so complex applications can work efficiently.

Applications
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Operating Systems
Bare Metal
Processor
Hardware

"When one loop is no longer enough to carry the burden."

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