Busy waiting 2026-10-24
Busy waiting repeatedly tests a condition while keeping the processor occupied. A delay based only on instruction counts also depends on instruction timing and time spent handling interrupts. Polling a hardware timer avoids that calibration dependence but still occupies the processor.
Context switch 2026-10-13
A context switch transfers CPU execution from one operating-system process or software thread to another while preserving enough execution context for the suspended task to resume. The operating-system kernel saves the outgoing task's processor registers, including its resume program counter and stack pointer, and restores the incoming task's saved state. Hardware entry and software switching divide this work differently across architectures; the diagram groups them into logical save and load steps. During the transition the same CPU executes the operating-system kernel's scheduler and switching code. [ref]
For a schematic switch from A to B, let A's resume program counter be , its stack pointer , and one illustrative data processor register contain 7. B's saved values are . Saving A retains in A's execution context; loading B establishes before B resumes. These are selected fields, not a complete architecture-specific execution context. Later restoring A recovers its 7 even though B has used the same physical processor register for 42.
Figure 1.
One CPU over time: save A's execution context, run the scheduler, and restore B's execution context
. Details.
The useful invariant is that each suspended task retains its own resume state, so another task's use of the processor registers does not erase it. This is what makes repeated turns under round-robin scheduling possible. Saving an execution context does not copy the entire address space. Switching between software threads of one operating-system process can retain the same address space; switching between operating-system processes with different address spaces may also require changing the memory management unit's translation context, such as the active page table and associated address space identifier, depending on the architecture. Their contents remain in computer memory. [ref]
Entering the operating-system kernel through an interrupt, synchronous processor exception or system call does not automatically imply a context switch to another task. The handler may return to the same task; process scheduling determines whether another runnable task should take over. A context switch consumes time, and a changed memory cache or translation lookaside buffer working environment can add subsequent costs. Those costs are excluded from the toy process scheduling timelines, which are calculations rather than operating system benchmarks. [ref][ref]
Direct memory access 2026-10-13
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.
Figure 1.
DMA separates the device-to-computer memory data path from CPU setup and completion control
. Details.
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]
Hardware timer Created 2026-10-25 Updated 2026-10-31
A hardware timer uses a clock signal to measure intervals, commonly by a digital counter with capture or comparison facilities. A comparison event can request an interrupt or change an output directly. Counter resolution, wraparound, interrupt latency and the hardware's comparison semantics determine the timing guarantees available to software.
Interrupt 2026-10-13
An interrupt redirects CPU execution to an interrupt handler in response to an event. Here the main case is an asynchronous hardware interrupt: a timer or device requests attention independently of the instruction currently being executed. A device completing a receive operation can announce that its data is ready while the CPU is running another program. Interrupt-driven input-output illustrates this with an explicit timeline. [ref]
A synchronous processor exception, such as a page fault caused by a particular memory access, is tied to instruction execution. A system call is an intentional program request for an operating-system kernel service. These routes can share entry machinery, and an instruction named a software interrupt can implement a system call, but this does not make that request an asynchronous device event. For example, the Linux kernel on x86 documents separate entries for external interrupts, divide exceptions, syscall and int 0x80. [ref]
The usual device route is a request through an interrupt controller, architecture-specific entry, and dispatch to an interrupt handler. In the Linux kernel, generic handling separates controller operations from flow handling and device driver callbacks. Requests can arrive through a pin or a message, and several devices can share a request source. Routing, priorities and interrupt masking determine which requests can be delivered; notification therefore need not mean immediate execution of the interrupt handler. [ref][ref]
The CPU and entry code preserve the state needed to resume interrupted execution, including the instruction pointer. Handling may enter a higher processor privilege level when interrupting ordinary program execution, but an interrupt can also arrive while privileged code is already running. The protected entry route and handler placement depend on the architecture and operating system; a microkernel need not place all device driver work where a monolithic kernel does. An interrupt entry is also distinct from a context switch to another operating-system process. [ref][ref]
// Target: computer-science.bigb
Interrupt controller 2026-10-13
Hardware managing and routing interrupt requests to a CPU, with architecture-dependent masking and priority rules. The Linux kernel encapsulates its operations separately from generic flow handlers. [ref]
// Destination: computer-science.bigb
Interrupt-driven input-output Created 2026-10-13 Updated 2026-10-24
In interrupt-driven input-output, a device signals an interrupt when attention is needed, letting the CPU avoid repeatedly checking an idle device. The interrupt handler determines what happened and arranges the required work; notification itself does not move the payload. DMA can supply that separate data-transfer mechanism.
For a toy comparison, let events occur at times . Ideal interrupt notification happens at those same times, while polled input-output at detects them at . The polling delays are ; ideal notification delays are all zero. Events are assumed to remain pending, with a simultaneous event visible to a poll. The chart is a model, not a measurement: it excludes interrupt delivery and dispatch latency, interrupt handler service time, and polling overhead. Its zero-delay row is not a real-hardware guarantee.
Figure 1.
Ideal interrupt notification versus periodic polled input-output for three persistent device events
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The useful idea is to spend attention when something changes. Sparse events can leave long stretches for useful CPU work instead of busy checks. At high event rates, repeated entry and service overhead can consume that saving. Batching notifications can reduce their frequency while delaying some events; switching to polled input-output during active periods is another option. No strategy is universally faster. [ref]
The Linux kernel's NAPI mechanism is a concrete combination: an interrupt normally schedules event processing, which polls for work with a receive budget. Further interrupts remain masked during that polling, and are enabled again when polling finishes. NAPI also supports busy polling; the exact processing context and configuration vary. This is a documented Linux kernel design, not a requirement on every operating system. [ref]
Interrupt handler 2026-10-13
Code entered to handle an interrupt. It identifies and acknowledges relevant device state and arranges service, possibly deferring work. The Linux kernel's generic flow layer and device driver callback have distinct responsibilities. [ref]
True. In polled input-output, a processor reads device status and handles ready work without interrupt entry and return overhead. If an operation completes very quickly, or requests arrive continuously at a high rate, a short poll or a batch of polls can cost less than an interrupt for every event. Interrupt-driven input-output is usually better for long or infrequent waits because the processor can do unrelated work or sleep instead of busy waiting. The useful choice depends on the event rate and latency requirement.
Add profiling to the timer-interrupt handler. When the target operating-system process is interrupted while running, record its saved instruction pointer, map that address to a code region in the executable, and increment an address histogram. Addresses with many samples identify regions consuming a large fraction of execution time. The executable's code can then be disassembled around these addresses even when source and symbolic names are absent.
This is statistical program profiling: uniform samples of running time estimate time spent in code, not exact execution counts. Restrict samples to the desired process and distinguish application execution from unrelated kernel work. A sufficiently fine address histogram and many samples reveal hot loops; varying the sample interval reduces synchronization bias. If exact visit counts rather than time hotspots are needed, arrange breakpoint or single-step traps, or rewrite the binary to add counters, accepting their much larger overhead. Source code is not required to associate sampled execution with instruction addresses.
First, suppressing kernel preemption simplifies protection of shared kernel data on a uniprocessor: another ordinary kernel execution cannot be scheduled in the middle of a short update which temporarily breaks an invariant. Fewer paths require preemption-specific locking and reentrancy handling, making the operating-system kernel easier to implement correctly.
Second, it avoids involuntary kernel context switches and their scheduler, register-save and cache-disruption costs, and can make the execution of short kernel operations more predictable. The tradeoff is greater scheduling latency if a kernel operation runs too long. Simpler synchronization and lower switching overhead are the two reasons. Non-preemptive kernel code can still receive interrupts or block voluntarily, and multiprocessor execution still requires synchronization; non-preemption is not a substitute for all locking.
A processor privilege level distinguishes user execution from the privileged operating-system kernel. In user state, privileged instructions such as changing page-table control registers, reconfiguring devices or altering protected interrupt controls are forbidden and trap if attempted. Memory accesses are also checked against user-access permissions. Supervisor state permits the kernel to manage these resources; protected transition mechanisms keep user programs from merely setting the privilege bit themselves.
Interrupt masking controls delivery of maskable asynchronous interrupts. Enabled interrupts allow devices and timers to transfer control to the kernel between instructions; disabling them permits short critical operations without those particular interruptions. It does not normally disable synchronous exceptions, faults or nonmaskable interrupts. These two kinds of status bits are independent: privilege determines which instructions and accesses are authorized, whereas the interrupt mask determines which asynchronous events can preempt execution. Privilege protects the machine; interrupt enablement controls asynchronous entry.
A system call or other synchronous trap from user code enters the privileged handler, saving the prior execution status; entry may also mask interrupts depending on the architecture. A device or timer interrupt similarly saves the interrupted context, selects the privileged interrupt handler and commonly adjusts the interrupt mask to control nesting. A return-from-trap or return-from-interrupt instruction restores the saved status, ordinarily returning to user state with interrupts enabled.
These are three distinct transition situations. In addition, the operating-system kernel can explicitly enable or disable interrupts around a critical section using privileged instructions. The exact entry mask is architecture-dependent; entering supervisor state does not logically require interrupts to remain disabled throughout the handler.
With nonpreemptive scheduling, a running process retains the processor until it finishes its current CPU burst, blocks or voluntarily yields. With preemptive scheduling, the operating system may suspend a runnable process and select another one.
Time-slice preemption needs a hardware timer delivering an interrupt after bounded execution time, so control returns to the scheduler even if the running program never yields. Saving and restoring the execution context then lets the interrupted process resume later. The timer mechanism should remain under operating-system control.
A short interrupt handler should acknowledge the detector and count work; a timed finite-state machine should generate the flashes. A Boolean “someone arrived” variable cannot preserve several queued detections. This is an interrupt-driven pulse sequencer. Initialise the light off, the pending-event counter to zero and the sequencer to IDLE before enabling interrupts.
In the following pseudocode, interrupt acknowledgement uses the source-specified operation of writing zero. The atomic operation and timer calls name abstract services, not undocumented device registers of a particular microcontroller.
eye_handler():
    if EYE_DETECTED != 0:
        EYE_DETECTED = 0
        pending = pending + 1

try_take_event():
    briefly mask the detector interrupt
    if pending == 0: taken = false
    else: pending = pending - 1; taken = true
    restore the previous interrupt mask
    return taken

service(now):
    if state == ON and elapsed(now, started) >= one_second:
        LIGHT = 0
        state = GAP
        started = now
    if state == GAP and elapsed(now, started) >= one_second:
        state = IDLE
    if state == IDLE and try_take_event():
        LIGHT = 1
        state = ON
        started = now
The main program repeatedly handles a new event or the next timer deadline and calls service. The ON state lasts one second; every completed flash enters GAP, even if the queue is empty at that instant. An arrival during that gap must wait for it to expire. Otherwise turning the light off and immediately treating the device as idle could allow a new flash too soon. Once a gap has expired, a queued event starts a new flash; if no work is pending the device remains idle. Removing a pending event only when a flash starts gives one completed flash per consumed event.
An interrupt can arrive during the main program's decrement. Without a critical section, its increment can be overwritten by a race condition. Merely declaring the counter volatile, as in volatile-qualified objects in C, does not make the decrement an atomic operation. Short interrupt masking, or an appropriate atomic operation, protects it; interrupts must remain enabled during the one-second intervals so that detections continue to be recorded.
A calibrated busy-wait loop is simple, but occupies the CPU and its duration depends on instruction timing, compiler transformations and time spent in interrupts. Polling a hardware timer avoids calibration dependence but still consumes CPU while polling. A timer interrupt or timer comparison deadline permits useful work or safe sleeping between transitions and is preferable for precise timing. If sleeping, the test for queued work and entry into sleep must avoid a lost wake-up. By the modulo-counter elapsed-time identity, a wrapping digital counter is usable if elapsed-time subtraction is unsigned and the real observation interval is less than its modulus; a wide enough counter or suitable bounded intervals make this explicit. Software dispatch adds bounded latency, so the specification is achieved to timer/interrupt-service resolution; stricter physical pulse-width requirements call for hardware output comparison or a suitably prioritised timer handler.
Finally, the device register is only a single-bit event latch. Two physical detections before acknowledgement may coalesce, so no software can recover their multiplicity from that bit alone. The event counter must also have enough capacity for the allowed backlog; indefinitely many arrivals faster than one flash every two seconds cannot be guaranteed with finite storage. These are explicit hardware/rate assumptions, not missing input files. Keeping the handler short minimises the rearming interval but cannot abolish those limitations.
Maintain a counter and independent timed finite-state machine for each detector–light pair, while sharing the interrupt scan and timer infrastructure. Blocking for one channel's flash would unnecessarily delay every other channel.
eye_handler():
    for i in all_channels:
        if EYE_DETECTED[i] != 0:
            EYE_DETECTED[i] = 0
            pending[i] = pending[i] + 1

main_event_loop():
    initialise each LIGHT[i] = 0
    initialise pending[i] = 0, state[i] = IDLE
    enable detector interrupts
    forever:
        now = monotonic_timer_snapshot()
        for i in all_channels:
            service_channel(i, now)
        arrange the next wake-up for new work or the earliest deadline
service_channel is the three-state sequencer from (a), with its own started[i] and an interrupt-safe try_take_event(i). Shared interrupt demultiplexing uses separate if tests, not an else if chain: simultaneous pending detectors must all be acknowledged and counted. If a new detector becomes pending during the scan, the controller must retrigger while a flag remains set or the handler must rescan appropriately; the exact interrupt controller semantics must be checked rather than assuming a single scan can never miss an edge.
One hardware timer can schedule the earliest active channel deadline. On its expiry, service every due channel and rearm for the next deadline; a periodic tick with adequate resolution is a simpler alternative. Detectors and the timer can then interleave without serial one-second waits. The handler/main-program counter accesses need the same short critical section protection as in (a). Keep timing state in one execution context, or protect it too if both a timer handler and the main program modify it.
The loop invariants are per channel: the pending count equals recorded but unstarted events, ON means that channel's light is on, and GAP prevents a new flash until one second after its preceding light-off transition. Different channels may flash simultaneously. The event latch rearming limitation, finite backlog capacity and timer-resolution qualifications apply independently to each channel. These cannot be solved by replacing several event counters with one global Boolean variable.
In a cooperative scheduler, a permanently runnable background operating-system process that never yields can monopolize the CPU. The timer service, smoothing operating-system process, and display may then fail to run even when their messages are ready. Correct message passing alone does not supply process scheduling.
Use timer-driven scheduling preemption, so an interrupt can force a context switch without cooperation. To give the measurement and display work bounded response despite background computation, use priority scheduling with the background operating-system process below the responsive services, or an explicit reservation policy. Round-robin scheduling gives CPU access among a fixed finite runnable set, but meeting a particular deadline additionally requires bounded service execution and sufficient CPU capacity.
Polled input-output 2026-10-13
In polled input-output, the CPU explicitly checks a device's status to discover whether work is ready or an operation has completed. Repeatedly checking in a tight loop is busy polling; periodic checks can instead leave time for other work. Interrupt-driven input-output changes how readiness is discovered, while DMA changes how payload data moves. [ref]
Use the model drawn under interrupt-driven input-output: device events occur at times , while polls occur at . Assume each event remains pending until detected and an event simultaneous with a poll is visible to that poll. The detection times are , giving delays . Four of the seven checks find no new event. These are event-detection delays, not completion times for servicing the events.
More generally, for polls at with , an event at time is first detected at
The ceiling function chooses the first poll at or after the event. To verify the bound, that poll is less than one interval beyond ; if is itself a poll time, the delay is zero by the stated visibility convention. This argument assumes instantaneous checks, persistent pending status and an uninterrupted poll schedule. It does not describe missed transient events or a CPU too busy to maintain that schedule.
The attraction of polled input-output is simple control and the possibility of processing several ready items in one visit. Busy polling spends CPU time even when nothing is ready, but short waits or frequent events can make avoiding repeated interrupt entry worthwhile. The right choice depends on actual checking, notification and service costs. See interrupt-driven input-output for a documented combination of both strategies. [ref]
// Destination: computer-science.bigb
Preemptive scheduling 2026-10-31
A process scheduling policy that can replace a running, still-runnable task with another task. Time-sliced round-robin scheduling uses a hardware timer interrupt to regain control when a scheduling quantum expires.
Scheduling preemption 2026-10-13
Taking the CPU away from a still-runnable task before it voluntarily yields or finishes. Round-robin scheduling uses scheduling preemption when a scheduling quantum expires, commonly using a timer interrupt to regain control. Kernel preemption is the more specific question of whether an execution already within the operating-system kernel can be suspended for another runnable context.