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Deploying neural networks and intelligent decision loops on raw silicon targets.
Understanding directories, path resolution, and filesystem identity.
When we interact with persistent storage, we locate and open files using names:
To a user or a programmer, it is natural to assume that the name is the file itself.
But this assumption is incorrect.
A filename is merely a string used to identify an object. It is not the underlying file object, nor is it the physical container of the data. A filename is a name used for lookup within a namespace. The physical data blocks on disk and the metadata describing them have an entirely separate identity.
This separation becomes more apparent when we construct a sequence of names to identify a file—a Path:
A path is not a single physical string stored on disk that points directly to a sector. Instead, a path is a map. It represents a route that the operating system must navigate component by component to find the target object.
To resolve the path /home/dev/projects/notes.txt, the filesystem must step through each component of the directory hierarchy:
The process begins at the absolute root of the filesystem namespace. The operating system looks up the root node, retrieves its contents, finds the mapping for home, and traverses downward. It repeats this matching step for dev and projects until it gets the entry for notes.txt.
A path is not a pointer to data. A path is a set of instructions for navigating a hierarchical namespace.
In graphical user interfaces, directories are styled as "folders"—visual bins that contain physical files.
Conceptually, however, a directory is a mapping table. It is an organizational structure that translates human-readable name strings into unique filesystem internal identities.
A directory provides mappings from names to filesystem objects. When we look up notes.txt inside a directory table, we receive the internal index key. By nesting directory objects inside other directory tables, the filesystem builds the entire hierarchical directory tree.
Watch the interactive sequence below to trace how the operating system resolves /home/dev/projects/notes.txt from the root node through nested directories, retrieving directory entry tables along the path:
Because directories only link names to identities, the name of a file is decoupled from the file itself. This means multiple names can point to the same underlying file identity.
This relationship is known as a Hard Link:
In this system, both report.txt and backup.txt entries are registered inside a directory pointing to the exact same file metadata entry (Inode #7182).
This is not a copy. Both names refer to the exact same file. If a program writes to report.txt and updates its content, a subsequent read of backup.txt immediately reveals those updates. The file remains alive until all names pointing to its inode reference are deleted (reducing the link count to 0).
Another way to map names is through a Symbolic Link (often called a symlink or shortcut).
Unlike a hard link, which points directly to the file identity, a symbolic link is a separate file that stores a path string referencing another name:
The difference between the two configurations is fundamental: * Hard Link: A direct path from multiple names to the same target inode. * Symbolic Link: A path from a name to a new file object whose data payload contains the text string of another path.
If the target name report.txt is deleted, the symlink latest.txt remains behind but becomes a "broken link," resolving to a path that no longer exists.
Paths can be specified in two formats:
* Absolute: Starts from the root token (/), e.g., /home/dev/projects/notes.txt. Resolution always begins at root.
* Relative: Does not start from root, e.g., projects/notes.txt. Resolution begins from a contextual environment—typically the process's Current Working Directory (CWD).
This context means the same relative path can resolve to different physical files depending on which folder the application is executed from.
While disk format structures vary across operating systems, the core programming interface remains uniform.
For instance, Linux filesystems (like ext4) implement directory entries as tables mapping name strings to numerical index nodes (inodes). The inode contains all metadata and block addresses, but has no knowledge of the name itself. Regardless of the underlying operating system—be it Windows, macOS, or Linux—the OS presents the exact same unified namespace abstraction (names, paths, directories, and file objects) to user application processes.
How does the filesystem keep track of all this information — the file's metadata, its directory entries, its data blocks, and the free space around them?
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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