All multi-purposed chips today have (at least) two modes in which they can operate: user mode and kernel mode. Thus far you have probably only written user-mode software, and most of you will never write kernel-mode software during your entire software development careers.
Some activities the computer does can only be done by kernel-mode software; if user-mode code wants to do them, it has to do so by asking the kernel. This restriction provides several advantages.
One reason to not run in kernel mode is to limit the scope of mistakes a software bug can have. Inside the computer is all of the code and data that handles drawing the screen and tracking the mouse and reacting to keys and so on; I’d rather not be able to make a mistake when writing my Hello World program and accidentally mess up those core functionalities. By running in user mode, if my code tries to touch any of that it will be blocked from doing so: my program will crash, but the computer will keep running.
Physical computers have limited physical resources. One of the benefits of running in user mode is that the particular limitations are hidden from you by the kernel and hardware working together. For example, even if you only have 8GB of memory you can still use addresses larger than that limit: the kernel and hardware will work together to provide the illusion that there was enough memory even if there was not.
This illusion is even more important when you are running more than one process simultaneously. Perhaps you have a terminal, an editor, and your developed code all running at once. The kernel and hardware will work together to ensure that your code cannot even see, let alone modify, the memory being used by the terminal or editor. Each program is given the illusion of being the only one running on an unlimited machine.
Each piece of hardware attached to a chip has its own protocols and nuances of operation. Fortunately, only the kernel needs to know about those details. If the mouse tries to talk to your program directly, the kernel intercepts the communication and handles it for you so you don’t notice it happened unless you asked the kernel to inform you about it. If you try to talk to the disk, the kernel likewise moderates that communication, keeping you from needing to know the specific protocol the currently-attached disk expects.
Because the kernel is an unavoidable intermediary for talking to hardware, it can chose to forbid some interactions. One common use of this is to allow multiple user accounts. Since the kernel is the one that controls access to the disk, for example, it can chose not to allow my processes to access the part of the disk it has assigned to you, not me.
When in user mode, there are a set of instructions that cannot be executed and segments of memory that cannot be accessed. Examples of things you cannot directly access in user mode include
The simplest way to create two modes is to have a single-bit register somewhere on the chip that indicates if the chip is currently executing in user mode or in kernel mode. Each protected instruction then checks the contents of that register and, if it indicates user mode, causes an exception instead of executing the instruction. A special protected instruction is added to change the contents of this mode register, meaning kernel-mode code can become user-mode, but no vice versa.
Modern processors often have more than one operating mode with more than one level of privilege, which (among other benefits) can help make virtualization efficient; the details of these additional modes are beyond the scope of this course.
The core mechanic for becoming the kernel is a hardware exception. An exception results in several functionally-simultaneous changes to processor state, notably including both (a) changing to kernel mode and (b) jumping to code in kernel-only memory. Thus, the only mechanisms that exist for entering kernel mode will running kernel code for the next instruction, preventing user code from running itself in kernel mode.
The nature of these hardware exceptions and the jump to kernel code that is associated with them is a large enough topic to deserve it’s own section.
Hardware exceptions are examples of exceptional control flow
: that is, the sequence of instructions being operated around an exception is an exception to the usual rules of sequentiality and jumps. They also tend to appear in exceptional (that is, unusual) situations.
There are several kinds of hardware exceptions.
An interrupt occurs independently from the code being executed when it occurs. It might result from the mouse moving, a network packet arriving, or the like.
Interrupts are typically handled by the kernel in a way that is invisible to the user code. The user code is frozen, the interrupt handled, and then the user code resumed as if nothing had happened.
Some sources call all exceptions interrupts,
calling the interrupting-type of exception an asynchronous interrupt
instead.
A fault is the result of an instruction failing to succeed in its execution. Examples include dividing by zero, dereferencing a null pointer, or attempting to execute a protected instruction while in user mode.
There are two basic families of responses to faults: either the kernel can fix the problem, then re-run the user code that generated the fault; or it cannot fix the problem and kills the process that cause the fault instead. In practice, fixable faults happen quite often, notably the page fault discussed later. Even faults the kernel can’t fix on its own are often handled by asking the user code if it knows how to fix them using a mechanism called signals, though many programs do not chose to handle the signals so the end result is often still termination of the fault-generating process.
A trap is an exception caused by a special instruction whose sole job is to generate exceptions. Traps are the main mechanism for intentionally switching from user mode to kernel mode and are the core of all system calls. System calls are used to interact with the file system, spawn and wait on threads, listen for key presses, and anything else that you cannot do with simple code alone.
When an exception occurs, the processor switches to kernel mode and jumps to a special function in kernel code called an exception handler.
Because interrupts exist, this can happen without any particular instruction causing the jump, and thus might happen at any point during the code running. In order for the handler to later resume user code, the exception handling process must also save the processor state before executing the handler.
The basic mechanism for any exception to be handled is
These steps (except for the actual execution of the exception handler) are all done atomically by the hardware.
In general, there can be as many different exception handlers as there are exception causes. To select which one to run, the hardware consults something called an exception table. The exception table is just an array of code addresses; the index into that array is determined by the kind of exception generated (e.g., divide-by-zero uses index 0, invalid instructions use index 6, etc.) The index is called an exception number or vector number and the array of code addresses is called the exception table.
Switches
Having an array of code addresses is not unique to exception handlers; it is also present in C in the form of a switch
statement.
For example, the following C
switch(x) {
case 0: f0();
case 1: f1();
case 3: f3();
case 2: f2();
break;
case 4:
case 5: f5();
case 6: f6();
break;
case 8: f6();
}
compiles down to the following code
cmpl $8, %eax
ja AfterSwitch
jmpq * Table(,%rax,8)
Case0:
callq f0
Case1:
callq f1
Case3:
callq f3
Case2:
callq f2
jmp AfterSwitch
Case5:
callq f5
Case6:
callq f6
jmp AfterSwitch
Case8:
callq f8
AfterSwitch:
supported by the following jump table
.section .rodata
Table:
.quad Case0
.quad Case1
.quad Case2
.quad Case3
.quad Case5
.quad Case5
.quad Case6
.quad AfterSwitch
.quad Case8
Exception tables are just one particular use of this array-of-code-addresses idea.
Handlers may either abort the user code or resume its operation. Aborting is primarily used when there is no obvious way to recover from the cause of the exception.
When resuming, the handler can either re-run the instruction that was running when it was generated or continue with the next instruction instead. A trap, for example, is similar to a callq
in its behavior and thus resumes with the subsequent instruction. A fault handler, on the other hand, is supposed to remove the barrier to success that caused the fault and thus generally re-runs the faulting instruction.
Aborts
We classified exceptions by cause, but some texts classify them by result instead. If classified by what happens after the handler, there is a fourth class: aborts, which never return.
The abort result may be triggered by any cause: if a memory access detects memory inconsistency we have an aborting fault; an exit system call is an aborting trap; and integral peripherals like RAM can send aborting interrupts if they notice unrecoverable problems.
In Linux, almost all communications from user- to kernel-code are handled by a trap with exception number 128. Instead of using exception number to select the particular action the user is requesting of the kernel, that action is put in a number in %rax
; this decision allows Linux to have space for billions of different system calls instead of just the 200 or so that would fit in an exception number and are not reserved by the hardware.
To see a list of Linux system calls, see man 2 syscall
. Most of these are wrapped in their own library function, listed in man 2 syscalls
Consider the C library function socket
. The assembly for this function (as compiled into libc.so
) begins
Let’s walk through this a bit at a time:
endbr64
This is part of the control-flow enforcement elements of x86-64. It has no outwardly visible impact on program functionality, but it does add some security enforcement, making it harder for some classes of malicious code to access this function.
Omitting some (important but tedious to describe) details, because this instruction is present in the function you can’t jump into the code except at that line. That means malicious code can’t jump a bit later into this function with the goal of executing the syscall
instruction without first going through the %rax
-setting instruction.
mov $0x29,%eax
%rax
. Per /usr/include/sys/syscal.h
, 41 is the number of the socketsyscall.
syscall
A trap, generating exception number 128. This means the hardware saves processor state, then jumps to the address stored in the kernel’s exception_handler[128]
.
The exception handler at index 128 checks that %rax
contains a valid system call number (which 41 is), after which it jumps to the kernel’s system_call_handler[41]
, the address of the socket call implementation.
The kernel’s system calling convention has the same first three arguments as C’s calling convention, so the handler has access to the arguments from the int socket(int domain, int type, int protocol)
invocation. It uses them to do whatever work is needed to create a socket, placing its file descriptor in %rax
to be a return value.
The handler ends by executing a protected return-from-handler instruction that
%rax
alone as a return value),After that is some error checking code, and then the function returns. The whole function is only 11 instructions (24 bytes) long. The code in system_call_handler[41]
of the kernel is considerably longer; many thousands of lines of C code, in fact (see https://github.com/torvalds/linux/tree/master/net).
One view of exceptions is that they enable communication from user code to the kernel. Signals permit the opposite direction of communication.
→ User code | → Kernel code | → Hardware | |
---|---|---|---|
User code → | ordinary code | Trap | via kernel |
Kernel code → | Signal | ordinary code | protected instructions |
Hardware → | via kernel | Interrupt | — |
Signals are roughly the kernel-to-user equivalent of an interrupt. At any time, while executing any line of code, a signal may appear. It will suspend the currently executing code and see if you’ve told the kernel about a signal handler, a special function you believe will handle that signal. After running the handler, the interrupted code will resume.
Linux defines many different signals, listed in man 7 signal
. Each of them has a default action if no handler is registered, most commonly terminating the process.
Typing Ctrl+C on the command line causes the SIGINT signal to be generated. If we want Ctrl+C to do something else, we have to handle that signal:
#include <stdio.h>
#include <signal.h>
static void handler(int signum) {
printf("Provide end-of-file to end program.\n");
}
int main() {
struct sigaction sa; // how we tell the OS what we want to handle
sa.sa_handler = handler; // the function pointer to invoke
sigemptyset(&sa.sa_mask); // we'll use sigaction, not signal, so set not needed
sa.sa_flags = SA_RESTART; // restart functions that can recognize they were interrupted
if (sigaction(SIGINT, &sa, NULL) == -1) {
fprintf(stderr, "unable to override ^C signal");
return 1;
}
char buf[1024];
while(scanf("%1023s", buf) && !feof(stdin)) {
printf("token: %s\n", buf);
}
}
Almost all signals can be overridden, but for many it is not wise to do so. For example, this code:
#include <stdio.h>
#include <signal.h>
static void handler(int signum) {
printf("Ignoring segfault.\n");
}
int main() {
struct sigaction sa; // how we tell the OS what we want to handle
sa.sa_handler = handler; // the function pointer to invoke
sigemptyset(&sa.sa_mask); // we'll use sigaction, not signal, so set not needed
sa.sa_flags = SA_RESTART; // restart functions that can recognize they were interrupted
if (sigaction(SIGSEGV, &sa, NULL) == -1) {
fprintf(stderr, "unable to override segfault signal");
return 1;
}
// let's make a segfault -- enters infinite handler loop
char * buf;
buf[1234567] = 89;
}
… will print Ignoring segfault
repeatedly until you kill it with something like Ctrl+C. The last line creates a segfault, which causes the OS to run the handler. The handler returns normally, so the OS assumes the cause of the fault was fixed and re-runs the triggering code, which generates another segfault.
Obviously, you should not do something like this in real code.
There is a system call named kill
that asks the kernel to send a signal to a different process. While this can be used for inter-process communication, better systems (like sockets and pipes) exist for that if it is to be a major part of an application’s design.
Command line and signals
From a bash command line, you can send signals to running processes.
Ctrl+C sends SIGINT, the interrupt
signal that means I want you to stop doing what you are doing.
Ctrl+Z sends SIGSTOP, a signal that cannot be handled. It always causes the OS to suspend the process, freezing it in place until you ask for it to resume.
bg
causes a suspended process to resume running, but in the background so you can use the terminal for other purposes.
fg
causes a suspended or background process to resume running in the foreground, re-attaching the keyboard to stdin
.
kill <pid>
sends SIGTERM, the terminate
signal, to the process with process ID <pid>
. The terminate
signal means I want you to shut down now
but can be handled to, e.g. save unsaved work or the like.
kill -9 <pid>
sends SIGKILL, the kill
signal, to the process with process ID <pid>
. The kill
signal cannot be handled; it always causes the OS to terminate the program.
Any other signal can be provided in similar fashion, either by number (SIGKILL is signal number 9) or name (e.g., kill -KILL <pid>
)
There are other tools for sending signals, but the above are sufficient for most common use cases.
setjmp
, longjmp
, and software exceptionsPortions of the save- and restore-state functionality used by exception handlers is exposed by the C library functions setjmp
and longjmp
.
setjump
, given a jmp_buf
as an argument, fills that structure with information needed to resume execution at that location and then returns 0. Thereafter longjmp
can be called with that same jmp_buf
as an argument; longjmp
never returns, instead returning
from setjmp
for a second time. longjmp
also provides an alternative return value for setjmp
.
The following program
#include <setjmp.h>
#include <stdio.h>
jmp_buf env;
int n = 0;
void b() {
printf("b1: n = %d\n", n);
n += 1;
printf("b2: n = %d\n", n);
longjmp(env, 1);
printf("b3: n = %d\n", n);
n += 1;
printf("b4: n = %d\n", n);
}
void a() {
printf("a1: n = %d\n", n);
n += 1;
printf("a2: n = %d\n", n);
b();
printf("a3: n = %d\n", n);
n += 1;
printf("a4: n = %d\n", n);
}
int main() {
printf("main1: n = %d\n", n);
n += 1;
printf("main2: n = %d\n", n);
int got = setjmp(env);
if (got) {
printf("main3: n = %d\n", n);
n += 1;
printf("main4: n = %d\n", n);
} else {
printf("main5: n = %d\n", n);
n += 1;
printf("main6: n = %d\n", n);
a();
}
printf("end of main\n");
}
prints
main1: n = 0
main2: n = 1
main5: n = 1
main6: n = 2
a1: n = 2
a2: n = 3
b1: n = 3
b2: n = 4
main3: n = 4
main4: n = 5
end of main
See also a step-by-step simulation of this same process without the printf
s.
There was a time when setjmp
/longjmp
were seen as effective ways of achieving try
/catch
-like error recovery, which cannot be handled with simple goto
because it may skip multiple function call/returns.
try /catch constructs |
setjmp /longjmp parallel |
---|---|
throw new Exception3(); |
longjmp(env, 3) |
More efficient approaches to this have since been developed. setjmp
records much of the state of the program in advance, which gives it a significant cost in time; because try
is generally assumed to be executed far more often than throw
, we’d rather make throw
the expensive one, not try
. Most of the information stored by setjmp
into the jmp_buf
can be found somewhere in the setjmp
-invoking function’s stack frame, which many languages maintain with sufficient discipline that it can be unwound
to restore a previous state upon a throw
. C, however, lets you do anything, including violating assumptions about the stack organization, so C has an expensive setjmp
and less expensive longjmp
instead of an expensive throw
and less expensive try
.
One of the most important functions provided by a collaboration between the hardware and the operating system is virtual memory. Virtual memory provides
A process is a software-only operating system construct that roughly parallels the end-user idea of a running program. Each process has its own virtual address space. The hardware knows the difference between user and kernel mode, but not the difference between a web browser and a text editor.
The operating system maintains a variety of data structures inside kernel-only memory to help track different processes. Portions of those structures relating to one process at a time1 are loaded into hardware-accessible registers and memory so that the hardware mechanisms will cause running code to interact with the appropriate process’s memory and other state.
Changing which process’s state is currently loaded is called a context switch. All major user operating systems (but not all embedded-system operating systems) use a hardware timer to create an exception every few dozen milliseconds to enabled automated context switching and facilitate the illusion that more processes are running at a time than there are processors in the computer.
To provide process separation, each memory access needs to be checked to ensure it is permitted. Specific sets of permissions may vary by system, but a common set includes
mov %rax, address
allowed?)mov address, %rax
allowed if not in kernel mode?)jmp address
allowed?)Because most instructions would need to check at least one of these constraints, there is reason to encode them very efficiently. Because each process may access a very large number of memory addresses, they also need to be efficient in space, in practice meaning that permissions are applied to large contiguous regions of memory.
A common operating system internal representation of memory regions is a list if segements, pairs of starting- and stopping-addresses and a set of permissions for the intermediate addresses.
Segments are never directly visible to the hardware2: instead, the operating system uses the segments to create hardware-visible pages table entries and to react to hardware-generated page-related faults and potentially convert them into signals to convey to the user process.
Because segments are a software-only construct, each operating system can store them in a different way. One simple example might be the following,
It is common to refer to the crashing of a program that tries to access an invalid address as a segfault
, short for segmentation fault.
This is technically a misnomer; the fault is generated by hardware, which does not even know about segments; the generating fault is either a page fault or a protection fault. The operating system may react to that fault by generating a segmentation violation signal
, often abbreviated as SEGV or SIGSEGV.
Many people and programs using the term segfault
are aware it is technically incorrect; it is arguably an example of a computing colloquialism.
POSIX-compatible operating systems provide library functions mmap
and munmap
for requesting the operating system adjust its segments. Typical user applications use higher-level wrappers such as malloc
instead.
Hardware access to memory protections is designed to be very simple so that it can be very rapid. Each address is split into two parts: a page number made up of the high-order bits and a page offset made up of the low-order bits.
Each time memory is accessed in any way—including in fetching the instruction itself, meaning at least once per instruction—the address is translated. Translation converts an address as it appears in code (called a virtual address) into an address that can be used to access the memory chip (called a physical address). This translation involves the following steps:
The virtual page number is used as a key or index into a data structure called a page table to retrieve a page table entry (see Page Tables). Conceptually this is what Java would call a Map<VirtualPageNumber, PageTableEntry>
. It is stored in memory, using physical not virtual addresses and its location is stored in a register that is changed on each context switch so that the operating system maintain a different page table for each process.
The page table entry contains a variety of protection or flag bits. In addition to the various read/write/execute/kernel permission bits, it may also contain an unmapped
flag indicating that this virtual page has no corresponding physical page.
If the access cannot proceed for any reason, a fault is generated (a page fault if unmapped, otherwise a protection fault). The fault handler should either modify the page table so that the address will work on a second attempt or kill the program.
If the necessary permissions are present, the page table entry contains a physical page number. This physical page number, concatenated with the page offset from the virtual address, is the physical address.
Hardware uses various optimizations to speed up this process, notably using the Translation Lookaside Buffer.
Address translation is designed so that the hardware guarantees that
Combined with careful coding of the operating system, it is intended that these provide full separation of processes, so that no two programs can see the contents of the other’s memory unless they have both asked the operating system to enable that.
Since 2017, it has become known that these protections are not quite a complete as they were once thought. Although these protections do ensure that one process cannot directly access another’s memory, they does not guarantee the absence of side-effects of memory access that another process can detect. For example, many hardware accelerations are based on the principle that what happens once is likely to happen again, so timing how long a memory access takes can leak some information about what other memory accesses other processes may have made.
This is one example of how a side channel might exist, and why it is challenging to reason about their absence. Securing primary channels is easy to think about, even if not always easy to do, because the data in question is known. That the timing of individual memory accesses was information that needed protection was not even known for decades after it became a potential side channel.
A page table is conceptually just a map between virtual page numbers (which are fixed-size integers) and page table entries (which are each a physical page number and a set of Boolean flags).
In the early days of virtual memory, when the entire addressable space was not large, a single array could suffice for implementing an efficient page table. A special kernel-access-only register, called the page table base register or PTBR, stores the address of this array.
Consider a system with 16-bit virtual addresses. If that memory was broken into 27 pages of 29 bytes each, and if each page table entry consists of 6 bits of flag bits and a 10-bit physical page number, then the single-level page table is an array or 27 2-byte values (i.e., 28 bytes in total).
If the virtual address is 1010 1111 0000 01012 then the page offset is 1 0000 01012 and the virtual page number is 101 01112. Thus, the hardware accesses page table entry 101 01112—that is, physical address PTBR + 1010 11102—to find a page table entry. If that page table entry’s flags allow access and it has the physical page number 11 0011 00112, then the resulting physical address is the physical page number (11 0011 00112) concatenated with the page offset (1 0000 01012) for a physical address of 110 0110 0111 0000 01012.
Note that this example maps 16-bit virtual addresses to 19-bit physical addresses: each process is limited to 64KB of addressable memory but the hardware can support 512KB physical RAM.
Single-level page tables are inefficient for 32-bit addresses and basically untenable for 64-bit addresses.
Multi-level page tables are a particular instance of a linked data structure known as a high-arity (or wide node) fixed-depth tree, which is an efficient way for storing large, sparse arrays particularly when entries are clustered. Since this is not a data structure that is generally taught in data structure courses, this section provides a full overview of the data structure itself before discussing how they are used for virutal memory.
A tree is a linked data structure where each node contains an array of pointers to additional nodes. The best-known tree types use arity-2 (also known as binary or width-2) trees, where the arrays are all 2 elements long, but trees with higher-arity are common when hardware is involved.
Many trees have variable depth: the number of steps from the root to the node containing the desired data may be different for different data. That design allows the tree to scale in size, but also mean that conditional checks are needed at each node. Alternatively, a tree can be designed with a fixed depth, with all data stored the same number of steps from the root. Fixed-depth trees typically store all data in the leaves of the tree, with separate data design for the internal nodes and the leaf nodes.
The following code defines a tree with arity 16 and three levels of intermediate nodes. It has a fixed height of (depending on how you count) 3 or 4.
#define WIDTH 16
struct leaf {
PAYLOAD data[WIDTH];
};
struct height1 {
struct leaf *kids[WIDTH];
};
struct height2 {
struct height1 *kids[WIDTH];
};
struct height3 {
struct height2 *kids[WIDTH];
};
/* ... */
struct height3 *root = /* ... */
This tree has the ability to store 164 = 216 = 65,536 PAYLOAD
values using a total of 163 + 162 + 161 + 1 = 4,369 pointers, including the root
pointer.
Fixed-depth trees with power-of-two width in each node can be accessed with integer indexes, like an array, by using bit masks to turn indexes into tree navigation. The bits of the index are split up, using the high-order bits for the first tree node index and lower-order bits for subsequent nodes until a leaf is reached.
In the following figure, which uses width 8 instead of 16 to avoid over-cluttering the figure, the value 23 has index 100 111 011 1002.
Continuing the previous code example, each tree can be treated as if it were an array of 65,536 entries:
Such a structure is significantly less efficient than a simple array: it requires more memory than a simple array because of the additional pointers; it requires more time because it requires multiple memory accesses per element access. However, it can save significant space if the majority of the indexes have no value, as entire subtrees can be omitted.
By adding intermediate null checks, most of the tree can be omitted if only a few indices are needed:
PAYLOAD *arr(struct height3 *root, unsigned short index) {
if (!root) return NULL;
struct height2 *child1 = root [(index>>12)&(WIDTH-1)];
if (!child1) return NULL;
struct height1 *child2 = child1[(index>> 8)&(WIDTH-1)];
if (!child2) return NULL;
struct leaf *child3 = child2[(index>> 4)&(WIDTH-1)];
if (!child3) return NULL;
return &child3[index&(WIDTH-1)];
}
While this code is even less time-efficient than the previous code, it is significantly more space-efficient if only a few values are in the array
. For example, if only indices 0–10 (0x0000–0x000A) and 60,000–60,050 (0xEA60–0xEA92) are used, the only non-NULL pointers are to:
Thus, only ten intermediate nodes and 5 × 16 = 80 PAYLAOD
values are allocated rather than the 65,535 PAYLOAD
values that would have been allocated for a simple array.
Most programs access only a few megabytes of memory, allocated in a few contiguous chunks, out of an address space of 264 = 18,446,744,073,709,551,616 possible addresses. This is, in many ways, and ideal scenario for using fixed-depth high-arity trees to store a very sparse array of page table entries.
x86-64-compatible processors handle 64-bit addresses as follows:
They completely ignore the top 16 bits of each virtual address. 248 = 281,474,976,710,656 is seen as more than a large enough address space for the current generation of software applications.
They use 64-bit page table entries, with larger physical page numbers than virtual page numbers. This does not mean that all physical page numbers are used: it is the OS’s job, when creating new page table entries, to ensure that the physical page number picked corresponds to an actual address in available RAM.
They pick a page size such that every page table node exactly fits in one page.
The most common such page size is 4KB pages with 29 PTE per node (9+9+9+9+12 = 48). Other page sizes also work; for example 256KB pages with 215 PTE per node (15+15+18 = 48) fits perfectly, and at a slight loss of space efficiency other sizes can be used as well.
Page size selection is a trade-off. The smaller the pages, the fewer bytes of memory are wasted because of partially-used pages, but the more time and space is devoted to the page table.
At one extreme, 16-byte pages (2 PTE per node) means almost no unused allocated memory but also means 44 intermediate page table nodes separate the PTBR and the PTE.
At the other extreme, 226-byte pages (a single-level page table filling half a page with 222 PTE) means that the smallest possible program needs at least two pages (128MB of memory) to run: one for the page table and one for the code, and a more realistic minimal program with at least 1 page of code, 1 page of read-only globals, 1 page of read/write globals, 1 page of heap, 1 page of stack, 1 page of shared library functions, and 1 page of kernel memory, plus the page table itself, requires 512MB.
4KB pages are generally seen as a nice intermediate point between tiny and huge pages, though how well they compare with other sizes in practice depends in large part on the application domain.
The trade-off between big and small pages becomes more significant as the address space increases. Trying to mitigate this trade-off is part of the reason why x86-64 only actually uses 48 bits of its 64-bit addresses.
x86-64 also allows mixed-size-pages, where most pages are 4KB but a few are 2MB. These big pages
are only used for data, not page table nodes, meaning some paths down the page table tree pass through one fewer node (9+9+9+21 = 48). This adds some complexity to the page table traversal process, but allows the operating system more control over how pages are distributed.
Each address translation that the TLB does not optimize runs a process similar to the following:
All of the above is performed by hardware, having been compiled down to actual physical transistors. It is not programmable.
The programmable parts are the fault handlers. A page fault handler (written in the OS software) might do something like
handle_page_fault(size_t va, int access_type) {
int flags = permitted_actions(va, segment_list);
if ((access_type & flags) != access_type))
send_signal(SIGSEGV);
ssize_t ppn = get_unused_physical_page();
if (ppn < 0) ppn = swap_page();
create_page_table_entry(va, ppn, flags);
}
The above pseudocode uses several function stubs:
permitted_actions
get_unused_physical_page
unusedlist onto the
used by current processlist.
swap_page
In the event that get_unused_physical_page
fails to find an unused page, the OS pick a page currently being used by some process and swaps it out
: that is,
swap space
See Page Swapping for more on swapping.
create_page_table_entry
An important thing to note about the above: software (the operating system) writes the page table in a format that the hardware understands and can read.
The following depicts all of the lookups used by x86-64’s virtual memory system with 4K pages. Virtual addresses are in yellow, physical addresses in cyan, and page table entries in white.
The three zero bits at the end of the first four physical addresses accomplish the index × 8
needed to compute the address of an 8-byte PTE by its index.
Of the above
Address translation needs to happen for every instruction, at least once to fetch the instruction and a second time if the instruction contains a memory access, so making it fast is vital to keeping the computer efficient.
Modern processors use a special cache called the translation lookaside buffer (or TLB) to keep the most-used address translations in high-speed memory.
Conceptually, the TLB is used as follows:
size_t vpn_full = va>>12;
if (tlb_has(vpn_full)) {
pte = tlb_lookup(vpn_full);
if (pte.flags & current_usage) protection fault;
ppn = pte.ppn;
} else {
size_t vpn[4] = split_bits(vpn_full, 9);
size_t ppn = PTBR;
for(int i=0; i<4; i+=1) {
pte = ram[(ppn<<12) | (vpn[i]<<3)];
if (pte.unmapped) page fault;
if (pte.flags & current_usage) protection fault;
ppn = pte.ppn;
}
tlb_store(vpn_full, pte);
}
pa = (ppn<<12) | (va & ((1<<12)-1));
For more details on how caches like the TLB work, see Caching.
Various uses of virtual memory are alluded to above to motivate the various features of virtual memory; this section focuses on those uses.
Because addresses in code can be mapped to other addresses, with operating system intervention if needed, virtual memory lets code act beyond the constraints of available memory. This is traditionally handled by the operating system storing some pages on the disk instead of in memory. moving these pages between disk and memory is called swapping
.
Because disks are vastly slower than memory, there is a desire to make this happen rarely, meaning that operating systems sometimes devote significant effort to selecting pages to swap out of memory that it believes are likely not to be swapped back in again anytime soon. Predicting which pages will be needed next is undecidable3, so this is always at best a heuristic and sometimes incorrect. If it is consistently incorrect (or there is not enough physical memory available for accuracy to matter) and the process begins spending more time swapping pages in and out than it does doing actual work, it is said that the process is thrashing.
As memory has become less expensive and more plentiful, swap is arguably4 less important than it once was, but it is still a part of every major end-user OS.
One of the goals of virtual memory is to allow each process to have its own address space, but because this is done by having a mapping between virtual and physical pages, it is quite possible to map the same physical page into multiple different processes’ virtual address space—potentially even to have the same physical page mapped to different virtual pages in each process.
Shared memory, as this is called, is used for several purposes, notably including the following.
If several programs are going to load in the same shared library code, it can be more efficient to have its code in just one physical page shared in each process’s virtual address space.
Not all libraries are linked in as shared memory. because shared memory must come in in full page chunks, shared memory library linkage can be inefficient if library code is small or not shared by several running processes. Additionally, sharing library code requires all processes that use it to use the exact same version of the code; as library code is frequently updated, this can itself be a challenge to engineer around.
Static library code is linked during compilation, while shared (also called dynamic
) library code is linked by the loader or in some cases even part-way through execution.
Consider the page of memory that contains the instruction that changes the PTBR. For the next instruction to be fetched properly, that instruction’s virtual page needs to map to the same physical page in both the old and new page table.
Different operating systems handle this differently; in Linux, for example, half of the entire address space (all with addresses 0x800000000000 or above) is reserved for the OS, and is mapped to the same set of physical pages in every process’s page table.
Switching between processes happens in the operating system’s code. When the OS was invoked (in an Exception Handler) the state of the original process was stored somewhere; when changing processes
As this happens in operating system software, other computation is often attached to it. It is not uncommon for the operating system to perform many different bookkeeping and other operations each time a context switch is performed.
Physical memory pages can be given to systems other than software processes. It is common for various input/output operations to be performed by allocating a page (or more) of memory to be accessed directly by the I/O systems. This direct memory access model allows I/O to happen at the slower pace of I/O systems concurrently with the processor doing other work, and then once the transfer into or out of memory is completed the processor to access it at the higher speed of memory access. This model is called direct memory access (DMA).
Technically, DMA does not require virtual memory—disks could be given access to physical memory even if code access memory with physical addresses—but it is generally implemented as an extension of the virtual memory system.
or one per processor depending on the multiprocessor design↩︎
Note, however, that keeping with the tradition of using the same English word to mean multiple unrelated technical concepts, x86-64 uses the word segment
in a distinct hardware sense to mean the high-order bits of addresses we don’t want to express in full
.↩︎
In case you have not yet had the pleasure of studying computational theory—or (even more sad to contemplate!) have forgotten important bits of it—undecidable
basically means only solvable in special cases, not in general.
In the happier case where you do remember computational theory and were hoping to find a proof here, Rice’s Theorem is sufficient to demonstrate the undecidability of determining what pages will be needed in what order.↩︎
Arguably as in, I have heard friendly arguments between people who know about this than I on this topic.↩︎