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Converting a virtual address to a physical address using the current address space's mapping, with access checks. In paging, the memory page number changes while the offset within it stays fixed.

Copy-on-write defers copying until a modification needs private storage. With paging, separate address spaces can map their memory pages to the same page frames, using memory protection to prevent writes to the common contents. Reads need no copy. A permitted write to a shared page frame first separates the writer's storage, so the other operating-system process keeps the old contents. Sharing is safe because the common contents remain unchanged while shared; the logical private copies can still evolve independently.^[ref]

Consider a fork-like model with parent A and child B. Each has a separate page table, with three inherited private, logically writable memory pages. Both initially map virtual page numbers 0x12, 0x13, 0x14 to page frames F0, F1, F2. The page table entries temporarily deny writes for copy-on-write; a read of x at offset 0x34 in virtual page 0x12 returns 7 in either address space. Separate page tables do not imply separate stored bytes.

Now B writes x = 42. In this model, copy-on-write fault handling allocates F3, copies all of F0's contents into F3, redirects only B's page table entry, enables its write, and retries the store. A still reads 7 through F0; B reads 42 through F3 at the same virtual address. F1 and F2 remain shared. The reference counting labels count mappings in this example: F0 drops from two to one, while F3 starts at one. Updating one byte can therefore copy a whole memory page.

The attraction is avoiding work that may never be needed. If B only reads, this model makes no data copies; if B replaces its program and discards these mappings, copying them beforehand would have been wasted. Copy-on-write trades eager copying for protected sharing and later page faults. The page tables, reference counting, and operating-system process records still cost time and computer memory.^[ref]

For a concrete operating system contract, the fork(2) manual for the Linux kernel documents copy-on-write, while its mmap(2) manual distinguishes MAP_PRIVATE from MAP_SHARED. Writes through MAP_PRIVATE are not propagated to other mappings or the underlying file; writes through MAP_SHARED are visible to other operating-system processes mapping that region. An inherited shared mapping therefore retains shared-write behavior. For a private memory-mapped file, visibility of later changes to the underlying file is unspecified: private writes alone do not guarantee a frozen snapshot of the file. ^[ref][ref]

Nor does fork make every resource independent. With the Linux kernel, inherited file descriptors refer to the same open file descriptions, including shared file positions. Special mapping policies can omit a region from inheritance or zero it in the child. Thus the diagrams describe ordinary inherited private memory pages, not every resource reachable by a parent. ^[ref]

Direct memory access transfers data between a device and computer memory without the CPU executing a copy instruction for each item. The CPU still sets up the operation and observes completion. DMA answers who moves the data; an interrupt answers how a need for attention is announced. A DMA transfer can therefore finish with interrupt-driven input-output or with polled input-output. ^[ref]

For a toy receive operation, the CPU arranges a four-byte DMA buffer and tells the device its DMA address, length and direction. The device writes the bytes A, B, C, D into that DMA buffer. After completion and any required DMA buffer synchronization, the CPU can read those four bytes. There are four payload bytes, but no four-item CPU copy loop on the device-to-computer memory path. This is a schematic example, not an instruction to operate real hardware.

The useful separation is that the CPU can perform other work while a larger transfer proceeds. The reasoning is a division of responsibilities: setup specifies the destination and extent once; the transfer engine advances through the payload; completion reports the result. The data still crosses an interconnect such as a computer bus, which must share access among competing initiators. Setup, mapping, synchronization and completion cost work, so DMA does not promise a speedup for every transfer size. ^[ref]

Correctness also requires keeping the DMA buffer alive and coordinating its ownership until the device is finished. A DMA address need not equal a CPU virtual address or physical address. An IOMMU, when present and configured, translates device addresses and can restrict access to authorized computer memory; it is not the CPU's memory management unit. Operating-system process isolation through virtual memory alone does not establish those device-access restrictions. ^[ref][ref]

An address supplied to a device for DMA, in the device's address system. The Linux kernel's mapping interface returns this separately from the CPU's virtual address; an IOMMU can translate it to a physical address. ^[ref]

An operating system manages the resources that let programs run and cooperate. Operating-system processes organize running work, virtual memory supplies protected address spaces, and a file system supplies named files that can outlive the operating-system process that created them. The operating-system kernel enforces the core mechanisms; system calls let programs request its services. Separating these responsibilities makes it possible to share a file while keeping the participating operating-system processes' address spaces isolated. ^[ref]

A concrete example makes the separation useful: two operating-system processes can each use file descriptor 3, yet refer to different files; two different names can instead refer to the same file through hard links. Neither a name nor a small integer identifies an object without its context. Virtual memory has a related distinction: the same virtual address in different address spaces can designate different physical addresses.

Unix provides an influential example of this design. In their July 1974 paper, Dennis M. Ritchie and Ken Thompson date its earliest version to approximately 1969–70 and describe operating-system processes, a hierarchical file system, and inodes separating directory entries from file metadata. This is a documented historical example, rather than a claim that every operating system uses Unix conventions. ^[ref]

Paging divides an address space into fixed-size memory pages and main computer memory into equally sized page frames. Here assume byte addressing, one memory page size $P=2^b$ bytes, and an unsigned virtual address $v$. Its virtual page number $q$ and offset $d$ areThe brackets denote the floor function, and $\mathrm{mod}$ gives the remainder in Euclidean division. If the page table maps $q$ to physical frame number $f$ and permits the access, the physical address isThe low $b$ bits are unchanged; the other bits select the memory page or page frame. A bit shift and bit mask can extract these fields. ^[ref]

For a 16-bit virtual address and $P=256=2^8$ bytes, take $v=0x1234=4660$ in hexadecimal. Then $q=18=0x12$ and $d=52=0x34$. A mapping to $f=7=0x07$ givesThus the eight high bits choose a mapping; the eight low bits choose the same position in the resulting page frame. The 256-byte size is for illustration, not a claim about an actual architecture's supported memory page sizes.

The useful freedom is that adjacent memory pages can occupy unrelated page frames. In the diagram, virtual pages 0x12 and 0x13 occupy page frames 0x07 and 0x02; virtual addresses 0x12ff and 0x1300 are consecutive, but translate to physical addresses 0x07ff and 0x0200. Uniform units simplify placement and page replacement, at the cost of page table storage and unused bytes within partly filled memory pages. For example, placing 300 bytes in exclusive 256-byte page frames requires two page frames, leaving $512-300=212$ bytes unused.

An address in the physical address system, obtained from a virtual address by address translation in the examples here. Physical address ranges can also identify devices, so not every physical address denotes ordinary computer memory.

An operating-system process is an execution instance of a program, with an address space, one or more software threads carrying execution contexts, and operating system resources such as file descriptors. A program describes instructions; an executable file stores a form that can be loaded for execution. Starting the same executable twice can create two operating-system processes, each with its own evolving state. A operating-system process can be waiting for input-output or waiting for a turn on the CPU, rather than executing at every instant. ^[ref]

For example, start the same counter program as operating-system processes A and B. In this toy mapping, both use virtual address 0x1234 for a counter x, but A reads x = 7 while B reads x = 42. The number 0x1234 is interpreted through the current address space, so it need not denote the same contents in both operating-system processes. Writing A's ordinary private counter does not change B's counter. Compare virtual memory for an explicit mapping to different physical addresses.

Separate virtual memory address spaces provide a usual default isolation boundary, not a claim that all computer memory is universally private. Deliberately shared mappings let operating-system processes communicate through the same stored data. Even logically private contents need not occupy distinct page frames at every moment: read-only program code can be shared, and copy-on-write can keep a common memory page until a write requires a private copy. The distinction is between which accesses and changes are permitted and which physical storage is currently reused. ^[ref][ref]

This abstraction lets independent activities reuse the same executable while keeping their changing state separate. Process scheduling distributes CPU time; virtual memory interprets and protects addresses; file descriptors connect an execution to open resources. The useful design is controlled independence with explicit ways to share. Creating operating-system processes, maintaining their mappings and performing context switches require time and computer memory; isolation alone gives no universal performance guarantee.

A boundary within which code exercises a particular set of permissions. An address space describes accessible virtual addresses; a protection domain also concerns authority over other objects, such as software threads and IPC endpoints. Two address spaces may deliberately share a writable memory page, so separation of address spaces alone does not make their contents independent.

A software thread is an execution stream within a operating-system process. Each software thread has its own execution context, including processor registers, an instruction pointer, and a call stack selected by its stack pointer. Software threads in the same operating-system process share its address space, global variables, dynamically allocated storage (the memory heap), and resources such as file descriptors. Separate register states let two software threads pause at different instructions and later resume correctly. A context switch saves and restores those states; it does not copy the entire shared address space. ^[ref][ref]

In the right half of the diagram under operating-system process, T1 and T2 access the same counter x at virtual address 0x1234. Their call stacks occupy separate regions of the same address space, and their saved processor registers can contain different values. A software thread's own call stack means the stack used for its calls, not a hardware protection boundary against another software thread. Another software thread with a suitable address can access that stack's live data, subject to the program's lifetime and synchronization rules. Sharing an address space enables easy communication and makes accidental interference possible.

Concurrency means that several activities can make progress over overlapping intervals; parallel execution means that several activities execute at the same instant. On one CPU execution slot, process scheduling can interleave software threads without simultaneous execution. Multiple processor cores can run eligible software threads in parallel, but merely creating software threads does not ensure parallel execution or a speedup.

Consider an explicitly abstract interleaving model: shared x starts at $0$, and each of T1 and T2 performs three indivisible logical steps in its own order: load x into its own register r, add $1$ to r, then store r into x. Each load sees the latest preceding store in the displayed order. These model assumptions specify the example; they do not describe every programming language or every hardware memory model. In serial order T1 finishes all three steps before T2 starts, so T2 loads $1$ and stores $2$.

An overlapping order instead gives T1 load $0$, T2 load $0$, T1 add to get r1 = 1, T2 add to get r2 = 1, T1 store $1$, and T2 store $1$. The load/store subsequence is therefore T1 load $0$, T2 load $0$, T1 store $1$, T2 store $1$: final $x=1$, although each software thread incremented its register correctly. The second store replaces the first with the same value, losing one intended update. This race condition is possible even with interleaving on a single CPU.

This is not an unprotected C implementation example. Conflicting unsynchronized accesses to an ordinary non-atomic C object from different software threads can constitute a data race, which has undefined behavior; the abstract trace is not a prediction of that program's allowed outcomes. ^[ref]

The repair explains why synchronization matters: mutual exclusion around the whole load/add/store sequence prevents the other software thread from starting an increment halfway through it. Alternatively, an appropriate atomic operation can make the complete increment one indivisible read-modify-write. In the toy model, either repair makes the two increments take effect in an order, producing $0+1+1=2$. Making only each load and each store an atomic operation still permits the displayed lost update. ^[ref]

The attraction is independently progressing activities with direct access to shared data: a user-interface software thread can handle input while another waits for input-output, and workers can divide independent pieces of a large calculation among available cores. The first benefit can exist on one CPU; the second requires suitable work and execution resources. Context switches, synchronization, register-state records and extra call stacks consume time or computer memory, so the useful partition depends on the workload. ^[ref]

Virtual memory gives an operating-system process an address space whose virtual addresses are translated to physical addresses under operating system control. In a system using paging, each resident memory page maps to a page frame; page tables describe the mappings and access permissions, while the memory management unit enforces them. The same virtual address in two operating-system processes can refer to different page frames. A deliberate shared mapping can instead make different virtual addresses refer to the same page frame. ^[ref]

For example, with 256-byte memory pages, let process A map virtual page 0x12 to page frame 0x07, and process B map virtual page 0x12 to page frame 0x09. Their identical virtual address 0x1234 then denotes physical address 0x0734 in A and 0x0934 in B. The address acquires meaning from the current address space, not just its numerical value. See paging for the calculation.

This separation makes programs easier to place in computer memory: consecutive virtual addresses need not occupy consecutive page frames. It also provides isolation and controlled sharing. Virtual memory does not require secondary storage: a system can translate and protect virtual addresses while keeping every allocated memory page resident in computer memory. Demand paging adds allocation or loading on first use, and can support an address space larger than available computer memory; the amount that can be used at once is still limited. Keeping a working set resident avoids memory thrashing.

An early concrete implementation was Manchester's Atlas. Kilburn, Edwards, Lanigan and Sumner's April 1962 paper describes automatically combining fast core storage with drum storage, transferring 512-word blocks and translating their addresses through page address registers. Its attraction was to spare programmers explicit transfers between these storage levels. This historical use of secondary storage is one application of virtual memory, rather than a requirement of every virtual memory system. The accessible text below is a reprint of the paper. ^[ref]