Under windows, how to allocate a "write combining" memory block? - memory-management

The main motivation: to use the movntdqa assembler command to avoid stack pollution. This command only works with write combining memory (also called WS and USWC)

Pass PAGE_WRITECOMBINE to VirtualAllocEx(). Sequential writes to that page will be write-combined by the MMU. Reads or nonsequential writes will induce a severe performance penalty.

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accessing process memory parts

I'm currently studying memory management of OS by the video lecture. The instructor says,
In fact, you may have, and it is quite often the case that there may
be several parts of the process memory, which are not even accessed at
all. That is, they are neither executed, loaded or stored from memory.
I don't understand the saying since even if in a simple C program, we access whole address space of it. Don't we?
#include <stdio.h>
int main()
{
printf("Hello, World!");
return 0;
}
Could you elucidate the saying? If possible could you provide an example program wherein "several parts of the process memory, which are not even accessed at all" when it is run.
Imagine you have a large and complicated utility (e.g. a compiler), and the user asks it for help (e.g. they type gcc --help instead of asking it to compile anything). In this case, how much of the utility's code and data is used?
Most programs have various optional parts that aren't used (e.g. maybe something that works with graphics will have some code for 16 bits per pixel and other code for 32 bits per pixel, and will determine which code to use and not use the other code). Most heap allocators are "eager" (e.g. they'll ask the OS for 20 MiB of space and then might only "malloc() 2 MiB of it). Sometimes a program will memory map a huge file but then only access a small part of it.
Even for your trivial "hello world" example code; the virtual address space probably contains a huge (several MiB) shared library to support lots of C standard library functions (e.g. puts(), fprintf(), sprintf(), ...) and your program only uses a small part of that shared library; and your program probably reserves a conservative amount of space for its stack (e.g. maybe 20 KiB of space for its stack) and then probably only uses a few hundred bytes of stack.
In a virtual memory system, the address space of the process is created in secondary store at start up. Little or nothing gets placed in memory. For example, the operating system may use the executable file as the page file for the code and static data. It just sets up an internal structure that says some range of memory is mapped to these blocks in the executable file. The same goes for shared libraries. The other data gets mapped to the page file.
As your program runs it starts page faulting rapidly because nothing is in memory and the operating system has to load it from secondary storage.
If there is something that your program does not reference, it never gets loaded into memory.
If you had global variable declared like
char somedata [1045] ;
and your program never references that variable, it will never get loaded into memory. The same goes for code. If you have pages of code that done get execute (e.g. error handling code) it does not get loaded. If you link to shared libraries, you will likely bece including a lot of functions that you never use. Likewise, they will not get loaded if you do not execute them.
To begin with, not all of the address space is backed by physical memory at all times, especially if your address space covers 248+ bytes, which your computer doesn't have (which is not to say you can't map most of the address space to a single physical page of memory, which would be of very little utility for anything).
And then some portions of the address space may be purposefully permanently inaccessible, like a few pages near virtual address 0 (to catch NULL pointer dereferences).
And as it's been pointed out in the other answers, with on-demand loading of programs, you may have some portions of the address space reserved for your program but if the program doesn't happen to need any of its code or data there, nothing needs to be loader there either.

MRI duplicates memory allocation when Thread.new

It seems that MRI makes duplication of memory allocation for every new thread.
I use Ubuntu x64, ruby-2.2.4 (rvm), and this what i get:
Just started irb:
I see pmap -d 1656 59760K (allocated memory, or '[ stack ]' for the program stack [man pmap(1)]) memory usage:
And when creating a thread:
I see pmap -d 1656 127352K memory usage:
So, I see duplication 59760K -> 127352K of memory allocation.
Such behavior is similar to result of the fork() call, which being used for creation a new process, makes a copy of its calling process data ('copy-on-write' is out this context) for new process.
But Thread is created in the same process and shares its data, and it looks strange...
In practice, it means that Thread in Ruby has similar to Process restriction in memory usage: new thread creation fails when allocated memory getting closer to physical memory size.
I am curious, WHY?
UPDATE
It's not duplication memory but additional allocation for ~50K for each thread.
Thanks #tadman for suggestion that it's an overhead and not something like copying memory in the fork()'s way.

Does Windows clear memory pages?

I know that Windows has an option to clear the page file when it shuts down.
Does Windows do anything special with the actual physical/virtual memory when it goes in or out of scope?
For instance, let's say I run application A, which writes a recognizable string to a variable in memory, and then I close the application. Then I run application B. It allocates a large chunk of memory, leaves the contents uninitialized, and searches it for the known string written by application A.
Is there ANY possibility that application B will pick up the string written by application A? Or does Windows scrub the memory before making it available?
Windows does "scrub" the freed memory returned by a process before allocating it to other processes. There is a kernel thread specifically for this task alone.
The zero page thread runs at the lowest priority and is responsible for zeroing out free pages before moving them to the zeroed page list[1].
Rather than worrying about retaining sensitive data in the paging file, you should be worried about continuing to retain it in memory (after use) in the first place. Clearing the page-file on shutdown is not the default behavior. Also a system crash dump will contain any sensitive info that you may have in "plain-text" in RAM.
Windows does NOT "scrub" the memory as long as it is allocated to a process (obviously). Rather it is left to the program(mer) to do so. For this very purpose one can use the SecureZeroMemory() function.
This function is defined as the RtlSecureZeroMemory() function ( see WinBase.h). The implementation of RtlSecureZeroMemory() is provided inline and can be used on any version of Windows ( see WinNT.h)
Use this function instead of ZeroMemory() when you want to ensure that your data will be overwritten promptly, as some C++ compilers can optimize a call to ZeroMemory() by removing it entirely.
WCHAR szPassword[MAX_PATH];
/* Obtain the password */
if (GetPasswordFromUser(szPassword, MAX_PATH))
{
UsePassword(szPassword);
}
/* Before continuing, clear the password from memory */
SecureZeroMemory(szPassword, sizeof(szPassword));
Don't forget to read this interesting article by Raymond Chen.

CreateFileMapping and MapViewOfFile with interprocess (un)synchronized multithreaded access?

I use a Shared Memory area to get som data to a second process.
The first process uses CreateFileMapping(INVALID_HANDLE_VALUE, ..., PAGE_READWRITE, ...) and MapViewOfFile( ... FILE_MAP_WRITE).
The second process uses OpenFileMapping(FILE_MAP_WRITE, ...) and MapViewOfFile( ... FILE_MAP_WRITE).
The docs state:
Multiple views of a file mapping object
are coherent if they contain identical data at a specified time.
This occurs if the file views are derived from any file mapping object
that is backed by the same file. (...)
With one important exception, file views derived from any file mapping
object that is backed by the same file are coherent or identical at a
specific time. Coherency is guaranteed for views within a process and
for views that are mapped by different processes.
The exception is related to remote files. (...)
Since I'm just using the Shared Memory as is (backed by the paging file) I would have assumed that some synchronization is needed between processes to see a coherent view of the memory another process has written. I'm unsure however what synchronization would be needed exactly.
The current pattern I have (simplified) is like this:
Process1 | Process2
... | ...
/* write to shared mem, */ | ::WaitForSingleObject(hDataReady); // real code has error handling
/* then: */
::SetEvent(hDataReady); | /* read from shared mem after wait returns */
... | ...
Is this enough synchronization, even for shared memory?
What sync is needed in general between the two processes?
Note that inside of one single process, the call to SetEvent would certainly constitute a full memory barrier, but it isn't completely clear to me whether that holds for shared memory across processes.
I have since come to believe that for memory-access synchronization purposes, it really does not matter if the concurrently accessed memory is shared between processes or just withing one process between threads.
That is, for Shared Memory (the one shared between processes) on Windows, the same restrictions and guidelines apply as with "normal" memory within a process that is just shared between the threads of the process.
The reason I believe this is that a process and a thread are somewhat orthogonal on Windows. A process is a "container" for threads, and in order for the process to be able to do anything, it needs at least one thread. So, for memory that is mapped into multiple process' address space, the synchronization requirements on the threads running within these different processes should be actually the same as for threads running within the same process.
So, the answer to my question Is this enough synchronization, even for shared memory? is that shared memory requires the same synchronization as "normal" memory. But of course, not all synchronization techniques works across process boundaries, so you are restricted in what you can use. (A Critical Section for exampled cannot be used across processes.)
If both of those code snippets are in a loop then in addition to the event you'll need a mutex so that Process1 doesn't start writing again while Process2 is still reading. To be more specific, the mutex must be acquired before reading or writing and released after reading or writing. Make sure the mutex has been released before calling WFSO in Process2.
My understanding is that although Windows may guarantee view coherency, it does not guarantee a write is fully completed before the client reads it.
For example, if you were writing "Hello world!" to the view, it could only be partially written when the client reads it, such as "Hello w".
Therefore, the view would be byte coherent, but not message coherent.
Personally, I use a mutex to guarantee thread-safe access.
Use Semaphore should be better than Event.

Allocating a buffer of more a page size on stack will corrupt memory?

In Windows, stack is implemented as followed: a specified page is followed committed stack pages. It's protection flag is as guarded. So when thead references an address on the guared page, an memory fault rises which makes memory manager commits the guarded page to the stack and clean the page's guarded flag, then it reserves a new page as guarded.
when I allocate an buffer which size is more than one page(4KB), however, an expected error haven't happen. Why?
Excellent question (+1).
There's a trick, and few people know about it (besides driver writers).
When you allocate large buffer on the stack - the compiler automatically adds so-called stack probes. It's an extra code (implemented in CRT usually), which probes the allocated region, page-by-page, in the needed order.
EDIT:
The function is _chkstk.
The fault doesn't reach your program - it is handled by the operating system. Similar thing happens when your program tries to read memory that happens to be written into the swap file - a trap occurs and the operating system unswaps the page and your program continues.

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