PrajnaEdge
A curiosphere for curious minds who want to understand, experiment with, and experience technology.
To continue exploring
Technology, made tangible.

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.
Edge AI Computer Vision

Image Classification

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

// Coming soon
Edge AI Playground

Image Classification

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

Choose an image

Upload an image
Supports JPG, JPEG, PNG
This classifier recognizes only Apple, Banana, and Orange. Other objects may be incorrectly classified as one of these classes.

Choose the model

Model size
4.91 MiB
Largest activation
~625 KiB
Test accuracy
99.11%
Measured model accuracy
Your image is processed locally in your browser.
On-Device AI
On-Device AI Playground
// Coming soon

Explore the ideas, systems and connections that shape technology — choose any node to begin your journey.

PrajnaEdge Navigation Tree
Embedded Systems Tree

Edge AI Demonstrations

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

Sort:
Operating Systems

When One Rule Was Enough

Understanding Non-Preemptive Scheduling

KernelSchedulingNon-PreemptiveFCFSSJFPriority

The Non-Preemptive Execution Flow

To visualize this philosophy, consider the lifecycle of execution. Once a process is selected from the Ready Queue, it enters the running state and remains there. The CPU cannot swap it out mid-way.

READY QUEUE Processes Wait CPU RUNNING Active Process NO INTERRUPT Runs to Finish COMPLETED Yields CPU

Three Classic Non-Preemptive Policies

When the kernel does not interrupt, the only choice it makes is who starts next. This choice is guided by one of three classic rules:

* First-Come, First-Served (FCFS): The simplest possible rule. Whichever process enters the Ready Queue first is run first, regardless of how long it takes or its importance. * Shortest Job First (SJF): The scheduler searches the Ready Queue and executes the process with the shortest estimated burst time first. * Priority Scheduling: Each process is tagged with an integer representing its priority. The scheduler always starts the process with the highest priority next.

Investigating Scheduling Behavior

To see how these rules change the behavior of a system, let's trace them using a single, identical set of processes.

The Key Metrics: Turnaround vs. Waiting

When evaluating these schedulers, engineers look at two primary performance metrics:

* Turnaround Time ($TAT$): The total elapsed time from when a process first arrives in the queue to when it completely finishes execution ($TAT = \text{Completion Time} - \text{Arrival Time}$). * Waiting Time ($WT$): The total time a process spends sitting in the Ready Queue waiting to execute ($WT = \text{Turnaround Time} - \text{Burst Time}$).

As you simulated above: * FCFS scheduled processes exactly in arrival sequence, resulting in an average waiting time of 4.67 units. * SJF reduced average waiting time to 3.67 units by running the shorter $P_3$ before $P_2$. * Priority prioritized the urgent $P_2$ over $P_3$, resulting in an average waiting time of 4.67 units.

The EdgeCase: Emergency Arrival

These non-preemptive rules worked well for early batch-processing computers. But what happens in a real-time system when an critical task suddenly wakes up?

Select the EdgeCase simulation tab above. In this scenario, we use the exact same process table, but we introduce one addition: at Time = 1, an emergency process ($P_{EM}$) with priority 0 (highest) arrives.

Observe the timeline: * At Time = 0, $P_1$ begins running. * At Time = 1, $P_{EM}$ arrives. It is the most critical process in the system. * But because the scheduler is non-preemptive, $P_1$ cannot be interrupted. $P_{EM}$ is forced to wait in the Ready Queue for 5 full time units until $P_1$ finishes at Time = 6.

This is the fundamental limitation of non-preemptive scheduling: long-running tasks block critical work, and the kernel is powerless to stop them.

The early policies were simple and predictable. But when a system must react to user inputs or critical hardware interrupts, waiting is no longer an option.

Should the CPU continue executing a long task, or should it force it to yield?

Let's find out how the kernel breaks the rule of non-preemption.

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.

CONNECT

LinkedIn → GitHub →

Interactive Career Journey

Let's Connect
Interested in embedded systems, AI, or building something meaningful? I'd love to hear from you.
Open to collaborations, research, and interesting engineering conversations.
Help Improve PrajnaEdge
Found something to improve? I'd love to hear your thoughts.

Bare Metal

Software that runs directly on hardware without an operating system.

Applications
Operating Systems
YOU ARE HERE
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
YOU ARE HERE
Operating Systems
Bare Metal
Processor
Hardware

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

Support PrajnaEdge

PrajnaEdge is an independent education platform built to make knowledge freely accessible.

If you find PrajnaEdge useful, you can support its continued development.

Your support helps fund the time, tools, infrastructure, and experimentation that go into building and maintaining PrajnaEdge.

Select Region
Select Amount
Select an amount to support PrajnaEdge.