Physical Memory and Virtual Memory data allocation behavior - hardware

Im interested in understanding how a computer allocates variables for physical memory vs files in virtual memory ( such as on a hard drive ), in terms of how does the computer determine know where to put data. It almost seems random in both memory storage types, but its not because it simply can't put data at a memory address or sector (any location) of a hard drive that's occupied or allocated for another process already. When I was studying how Norton's speed disk ( a program that de-fragments files on hard drives ) on my old W95 system, I noticed from the program's representation of hard drive's data ( a color coded visual map of different data types, e.g. swap files were always first at the top.), consisting of many files spread out all over the hard drive with empty unused areas. In addition some of these areas, I saw what looked like a mix of data and empty space showed a spotty pattern. I want to think its random for that to happen. Like wise, when I was studying the memory addresses of a simple program I wrote in C, I noticed that each version of my program after recompiling it after changes - showed different addresses for segments and offsets. I was expecting the computer to use the same address when I recompiled it. Sometimes the same address would be used, other times it was different. Again, I want to think its random also for memory locations to be chosen by programs. I thought that memory allocation or file writing was based on the first empty space available, written in a contiguous manner.
So my question is, I want to know how and what is it in the logic works of a common computer, that decides where it writes its data in such a arbitrary manner for either type of location (physical RAM or Dynamic )? What area of computer science (if not assembly language) would I need to study that would explains this, almost random behavior?
Thanks in Advance

Something broader and directly from computer science would be a linked list. http://en.wikipedia.org/wiki/Linked_list
Imagine if you had a linked list and simply added items to the end, these items might live linearly in memory or disk or whatever somewhere. But as you remove some items in the middle of the list by having say item number 7 point at item number 9 eliminating item number 8. As with memory allocation for allocs or virtual memory or hard drive sector allocation, etc how fast you fragment your storage has to do with the algorithm you use for allocating the next item.
file systems can/do use a link list type scheme to keep track of what sectors are tied to a single file. it is fast and easy to use the link list but deal with fragmentation. A much slower method would be to have no fragmentation but be constantly copying/moving files around to keep them on linear sectors.
malloc() allocation schemes and MMU allocation schemes also fall under this category. Basically any time you take something, slice it up into fractions and put a virtual interface in front of those fractions to give the appearance to the programmer/user that they are linear. Malloc() (not counting the virtual memory via the MMU) is the other way around allocating a number of linear chunks of those fractions to meed the alloc need, and having an alloc/free scheme that attempts to keep as many large chunks available, just in case, a bad malloc system is one where you have half of your memory free but the maximum malloc that works without an out of memory error is a malloc of a small fraction of that memory, say you have a gig free and can only allocate 4096 bytes.

You should look at virtual memory and TLB (translation lookaside buffer) or paging.
It is not trivial to implement virtual memory and paging. The performance of your whole system depends on it. If it's not done properly your system will thrash.
It is early morning here so Wikipedia will have to do for now: https://en.m.wikipedia.org/wiki/Translation_lookaside_buffer
EDIT:
Those coloured spots you saw in your defrag were chunks on your HDD. Each chunk is of some specified size. Depending on how fragmented your HDD is, you might have portions of your HDD that look like this:
*-*-***-***-*
where * means full, and - means empty
This (above) could be part of one application/file or multiple files; I will assume one file is split across those to simplify my example. At the end of each * there is a pointer to the next location where the next * chunk is (this is called a linked list). The more fragmented your HDD is (or memory) the more of these pointers to next chunk you will have. This in turn uses more space for next pointers instead of using space for data and the result is more overhead when reading that data. If this is a file on disk, you will have multiple seeks (which are bad because they're slow) if your data is not grouped together (locality principle). When you use defrag, it moves and groups all chunks together (as best as it can).
*-*-***-***-*
becomes
*********----
The OS decides paging and virtual memory addressing (and such). TLB is a hardware (a cache) that aids this process (it maps physical memory to virtual memory addresses for fast look up). The CPU communicates with the TLB via MMU
To answer your questions
You should study operating systems.
Yes the locations where to place your files on HDD are decided by the OS. If you deleted a file and download it again, there is no guarantee it will be placed in the same location-most likely not.
A nice summary of all these components and principles I mentioned here work: Click Here. It's a ppt with slides from a Real Time Operating Systems book (if I'm not mistaken the same exact one I used)

Related

Why are flash sectors of ROM smaller at the starting address?

Recently been working a lot with flash ROM, and I've found consistently within both within the internal flash of a chip and even with external SPI flash devices, that sectors are usually sized in a pattern like so:
I'm curious as to why the starting address space has smaller sectors than the later addresses. My suspicion is that it's more convenient when using something like a bootloader. Since bootloaders are often less than 128k, this would allow the bootloader to be written to maybe the first 2 or 3 sectors. This enables the main space application to have more room to expand into since to program it, we need to start at the beginning of a new sector. If we had only 128k sized sectors, then we'd essentially be wasting 128k - bootloader_size in space.
Is my suspicion correct? Or is there another reason this is done? Really curious to know what the design decision is here.
Because not all STM32F40x/41x devices have the full 1 MB of flash memory described in this table. Some, like the STM32F410C8, have as little as 64 KB -- that is, just the first four 16 KB sectors. Reducing the sector size at the start of memory allows these devices to still have multiple sectors available to work with, without leading to an excessive number of sectors on larger devices. It also makes some small sectors available on all devices for applications like EEPROM emulation, which requires two distinct flash sectors to be allocated for its exclusive use.
Typically, bootloader code performs:
1. Processor initialization.
2. Jumps to the application code.
Bootloader code is generally a lot smaller than the application code. The small segments allow for faster programming of the Flash, since many Flash have a minimum sector size that can be erased and programmed. The smaller the segment size, the faster it can be erased and reprogrammed.
Some Flash manufacturers place Bootloader segments either at the lower end or the upper end (or allow you to set it as you please).

How to properly assign huge heap space for JVM

Im trying to work around an issue which has been bugging me for a while. In a nutshell: on which basis should one assign a max heap space for resource-hogging application and is there a downside for tit being too large?
I have an application used to visualize huge medical datas, which can eat up to several gigabytes of memory if several imaging volumes are opened size by side. Caching the data to be viewed is essential for fluent workflow. The software is supported with windows workstations and is started with a bootloader, which assigns the heap size and launches the main application. The actual memory needed by main application is directly proportional to the data being viewed and cannot be determined by the bootloader, because it would require reading the data, which would, ultimately, consume too much time.
So, to ensure that the JVM has enough memory during launch we set up xmx as large as we dare based, by current design, on the max physical memory of the workstation. However, is there any downside to this? I've read (from a post from 2008) that it is possible for native processes to hog up excess heap space, which can lead to memory errors during runtime. Should I maybe also sniff for free virtualmemory or paging file size prior to assigning heap space? How would you deal with this situation?
Oh, and this is my first post to these forums. Nice to meet you all and be gentle! :)
Update:
Thanks for all the answers. I'm not sure if I put my words right, but my problem rose from the fact that I have zero knowledge of the hardware this software will be run on but would, nevertheless, like to assign as much heap space for the software as possible.
I came to a solution of assigning a heap of 70% of physical memory IF there is sufficient amount of virtual memory available - less otherwise.
You can have heap sizes of around 28 GB with little impact on performance esp if you have large objects. (lots of small objects can impact GC pause times)
Heap sizes of 100 GB are possible but have down sides, mostly because they can have high pause times. If you use Azul Zing, it can handle much larger heap sizes significantly more gracefully.
The main limitation is the size of your memory. If you heap exceeds that, your application and your computer will run very slower/be unusable.
A standard way around these issues with mapping software (which has to be able to map the whole world for example) is it break your images into tiles. This way you only display the image which is one the screen (or portions which are on the screen) If you need to be able to zoom in and out you might need to store data at two to four levels of scale. Using this approach you can view a map of the whole world on your phone.
Best to not set JVM max memory to greater than 60-70% of workstation memory, in some cases even lower, for two main reasons. First, what the JVM consumes on the physical machine can be 20% or more greater than heap, due to GC mechanics. Second, the representation of a particular data entity in the JVM heap may not be the only physical copy of that entity in the machine's RAM, as the OS has caches and buffers and so forth around the various IO devices from which it grabs these objects.

Can a 32-bit processor load a 64-bit memory address using multiple blocks or registers?

I was doing a little on 32-bit microprocessors and have I have learnt that:
1) A 32-bit microprocessor can only address 2^32 bits of memory which means that the memory pointer size should not exceed 32-bit range i.e. the pointer size should be equal to or less than 32-bit.
2) I also came to know that CPU allocate multiple blocks of memory for things like storing numbers and text, that is up to the program and not related to the size of each address (Source:here).So is it possible that a CPU can use multiple blocks (registers) to store pointers more than 32-bit in size?
Processors can access an essentially unlimited amount of memory by using variations on a technique called bank switching. In a simple bank-switching scheme, the memory chips that are wired to a portion of the address space will have some address inputs fed by the processor and some from an external latching device. Historically, the IBM PC had a 1MB address space, but an expanded memory board would IIRC allow two 16KB regions of that space to be mapped to any of dozens or hundreds of 16KB blocks of memory contained thereon. Nowadays processors generally have a memory-management unit built-in, which maps 4KB or 64KB blocks of memory to any address within a much larger space, and additional circuitry may, with OS support, expand things further.
The big difficulty with bank switching is that any given address might identify many different places in memory depending upon how the bank-switching hardware is configured, so accessing data from memories in a banked region will generally be more complicated than accessing data in directly-accessible memory and will only be possible from code which knows how the bank-switching hardware works. Nowadays it's more common to simply use a processor which can access all the memory one needs, but historically bank-switching was often a useful technique for going beyond processor limitations.
You could store a 64 bit pointer using 2 separate locations in memeory. But it probably wouldn't be useful since your processor can only use 32 bit pointers.

Estimating available RAM left with safety margin in C (STM32F4)

I am currently developing application for STM32F407 using STM32CubeMx and Keil uVision. I know that dynamic memory allocation in embedded systems is mostly discouraged, but from spot to spot on internet I can find some arguments in favor of it.
Due to my inventors soul I wanted to try to do it, but do it safely. Let's assume I'm creating a dynamically allocated fifo for incoming UART messages, holding structs composed of the msg itself and its' length. However I wouldn't like to consume all the heap size doing so, therefore I want to check how much of it I have left: Me new (?) idea is to try temporarily allocating some big chunk of memory (say 100 char) - if it's successful, I accept the incoming msg, if not - it means that I'm running out of heap and ignore the msg (or accept it and dequeue the oldest). After checking I of course free the temp memory.
A few questions arise in my mind:
First of all, does it make sens at all? Do you think, basic on your experience, that it could be usefull and safe?
I couldn't find precise info about what exactly shares RAM in ES (I know about heap, stack and volatile vars) so my question is: providing that answer to 1. isn't "hell no go home", what size of the temp memory checker would you pick for the mentioned controller?
About the micro itself - it has 192kB RAM, however in the Drivers\CMSIS\Device\ST\STM32F4xx\Source\Templates\arm\startup_stm32f407xx.s file only 512B+1024B are allocated for heap and stack - isn't that very little, leaving the whooping, remaining 190kB for volatile vars? Would augmenting the heap size to, say 50kB be sensible? If yes, do I do it directly in this file or it's a better practice to do it somewhere else?
Probably for some of you "safe dynamic memory" and "embedded" in one post is both schocking and dazzling, but keep in mind that this is experimenting and exploring new horizons :) Thanks and greetings.
Keil uVision describes only the IDE. If you are using KEil MDK-ARM which implies ARM's RealView compiler then you can get accurate heap information using the __heapstats() function.
__heapstats() is a little strange in that rather than simply returning a value it outputs heap information to a formatted output stream facilitated by a function pointer and file descriptor passed to it. The output function must have an fprintf() like interface. You can use fprintf() of course, but that requires that you have correctly retargetted the stdio
For example the following:
typedef int (*__heapprt)(void *, char const *, ...);
__heapstats( (__heapprt)fprintf, stdout ) ;
outputs for example:
4180 bytes in 1 free blocks (avge size 4180)
1 blocks 2^11+1 to 2^12
Unfortunately that does not really achieve what you need since it outputs text. You could however implement your own function to capture the data in memory and parse the result. You may only need to capture the first decimal digit characters and discard anything else, except that the amount of free memory and the largest allocatable block are not necessarily the same thing of course. Fragmentation is indicated by the number or free blocks and their average size. You can perhaps guarantee to be able to allocate at least an average sized block.
The issue with dynamic allocation in embedded systems are to do with handling memory exhaustion and, in real-time systems, the non-deterministic timing of both allocation and deallocation using the default malloc/free implementations. In your case you might be better off using a fixed-block allocator. You can implement such an allocator by creating a static array of memory blocks (or by dynamically allocating them from the heap at start-up), and placing a pointer to each block on a queue or linked list or stack structure. To allocate you simply remove a pointer from the queue/list/stack, and to free you place a pointer back. When the available blocks structure is empty, memory is exhausted. It is entirely deterministic, and because it is your implementation can be easily monitored for performance and capacity.
With respect to question 3. You are expected to adjust the heap and system stack size to suit your application. Most tools I have used have a linker script that automatically allocates all available memory not statically allocated, allocated to a stack or reserved for other purposes to the heap. However MDK-ARM does not do that in the default linker scripts but rather allocates a fixed size heap.
You can use the linker map file summary to determine how much space is unused and manually expand the heap. I usually do that leaving a small amount of unused space to account for maintenance when the amount of statically allocated data may increase. At some point however; you end up running out of memory, and the arcane error messages from the linker may not make it obvious that your heap is just too big. It is possible to override the default linker script and provide your own, and no doubt possible then to automatically size the heap - though I have never taken the trouble to try it.
Okay I have tested my idea with dynamic heap free space checking and it worked well (although I didn't perform long-run tests), however #Clifford answer and this article convinced me to abandon the idea of dynamic allocation. Eventually I implemented my own, static heap with pages (2d array), occupied pages indicator (0-1 array of size of number of pages) and fifo of structs consisting of pointer to the msg on my static heap (actually just the index of the array) and length of message (to determine how many contiguous pages it occupies). 95% of msg I receive should take up only one page, 5% - 2 or 3 pages, so fragmentation is still possible, but at least I keep a tight rein on it and it affects only the part of memory assigned to this module of the code (in other words: the fragmentation doesn't leak to other parts of the code). So far it has worked without any problems and for sure is faster because the lookup time is O(n*m), n - number of pages, m - the longest page possible, but taking into consideration the laws of probability it goes down to O(n). Moreover n is always a lot smaller the number of all allocation units in memory, so way less to look for.

Why is virtual memory needed in embedded systems? [closed]

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Per my understanding, virtual memory is as follows:
Programs/applications/executables reside in a storage device. Storage device access is much slower than RAM. Hence, programs is copied from storage memory to main memory for execution. Since computers have limited main memory (RAM), when all of the RAM is being used (e.g., if there are many programs open simultaneously or if one very large program is in use), a computer with virtual memory enabled will swap data to the HDD and back to memory as needed, thus, in effect, increasing the total system memory.
As far as I know, most embedded devices do not have disk memory (like smartphones or in car infotainment systems). Code is directly executed from Flash memory. RAM is mainly used as a scratchpad area (local variables, return address etc).
So why do we need virtual memory in embedded systems? (e.g. WinCE and QNX support virtual memory)
Your understanding is completely wrong. You are confusing virtual memory with swapping or page files. There are systems that have virtual memory and no swap or page files and there are systems that swap without virtual memory.
Virtual memory just means that a process has a view of memory that is different from the physical mapping. Among other things, it allows processes to have their own virtual address space.
Storage device access is much slower than RAM. Hence programs is copied from storage memory to main memory for execution. Since computers have limited main memory (RAM), when all of the RAM is being used (e.g., if there are many programs open simultaneously or if one very large program is in use), a computer with virtual memory enabled will swap data to the HDD and back to memory as needed, thus, in effect, increasing the total system memory.
That's swapping (or paging). It has nothing to do with virtual memory except that most modern operating systems implement swapping using virtual memory. Swapping actually existed before virtual memory.
I think you're probably incorrect about these devices running code directly from flash memory. The read speed of flash is pretty low and RAM is very cheap. My bet is that most of the systems you mention don't run code directly from flash and instead use virtual memory to fault code into RAM as needed.
embedded systems, the term itself has a wide range of applications. you could call a small microcontroller with flash program space measured in kbytes or less and ram measured in either bits or bytes (not enough to be kbytes) an embedded system. Likewise a tivo running a full blown operating system on a pretty much full blown computer motherboard (replace tivo with xbox as another example) as an embedded system. So you need to be less vague about your question. virtual memory has little to do with any of that its applications cross those boundaries.
There are many answers above, David S has the best of course that virtual memory simply means the memory address on one side of the virtual memory boundary is different than the physical address that is used on the other side of that boundary. Where, how, why, etc is there a boundary varies.
A popular use for virtual memory, and I might argue a primary use case is for operating systems. One benefit is that for example all applications could be compiled for the same address space, all applications might be compiled such that from the programs perspective they all start at say address 0x8000, and as far as that program when it runs and accesses memory it accesses stuff based on that address. A combination of the hardware and the operating system change that virtual address that the program is using to a physical address. If the operating system allows for multitasking, then each task might think they are in the same address space but the physical addresses are different for each of those tasks. I wont elaborate further on why using an assumed, fixed address space, is a benefit. Another aspect that operating systems use is memory management. Many MMU's will let you segment the memory however. If a user wants to allocate 100 Megabytes of memory the program may access in its virtual address space that 100 meg as if it were linear and in that address space it is linear, but that 100 meg might be broken down into say 4Kbyte chunks that are scattered all about the physical address space, not always likely but certainly technically possible that no two chunks of that physical memory is next to any other chunk of that 100 meg. your memory management doesnt necessarily have to try to keep large physical chunks of memory available for applications to allocate. Note not all MMUs are exactly the same and 4Kbytes is just an example. A third major benefit from virtual address space to an operating system is protection. If the application is bound to the virtual address space, it is often quite easy to prevent that application from touching the memory of any other application or the operating system. the application in this case would operate/execute at a proection level such that all accesses are considered virtual and have to go through a translation to physical, the tables that are used to define that virtual to physical can contain protection flags. If the application addresses a memory address in its virtual space that it has no business accessing, the hardware can trap that and let the operating system take action as to how to handle it (virtualize some hardware, pop up an error and kill the app, pop up a warning and not kill the app but at the same time feed the app bogus data for their transaction, etc).
There are lots of ways this can be used in an embedded system. first off many embedded systems run operating systems, so all of the above, ease of compiling the program for the address space, relative ease of memory management, and protection of the other applications and operating system and other benefits not mentioned. (virtualization being one, being able to enable/disable instruction/data caching on a block by block basis is another)
The bottom line though is what David S pointed out. virtual memory simply means the virtual address is not necessarily equal to the physical address, it can be but doesnt have to be, there is some boundary, some hardware, usually table driven, that translates the virtual address into a physical address. Lots of reasons why you would want to do this, since some embedded systems are indistinguishable from non-embedded systems any reason that applies to a non-embedded system can apply to an embedded system.
As much as folks may want you to believe that a system has a flat address space, it is often an illusion. In a microcontroller for example you might have multiple flash banks and one or more ram banks. Each of these banks has a physical, generally zero based address. Even if there is no mmu or anything else like that there is a place somewhere between the address bus on the processor and the address bus on the flash or ram memory that decodes the address on the processor and uses that to address into the specific memory bank. Often the lower bits match and upper bits are responsible for the bank choices (this is often the case with an mmu as well) so in that sense the processor is living in a virtual address space. (not limited to microcontrollers, this is generally how processors address busses are treated) With microcontrollers depending on a pin being pulled high or low or some other mechanism you might have a chip feature that allows one flash bank to be used to boot the processor or another. You might tie an input pin high and the processors built in bootloader allows you to access and debug the system for example reprogram the application flash. Or perhaps tie that line low and boot the application flash instead of the vendors debugger/boot flash. some chips get even more complicated letting you boot one flash then the program writes a register somewhere instantly changing the memory architecture moving things around, for example allowing ram to be used for the interrupt vector table so your application can be changed after boot rather than a vector table in flash that is not as easy to change at will.
now when you talk about virtual memory as far as swapping to and from a disk, that is a trick often employed by operating systems to give the illusion of having more ram. I mentioned that above under the category of virtualization. virtual memory in the sense that it isnt really there, I have X bytes but will let the software think there are Y bytes (where Y is larger than X) available. The operating system through the virtual tables used by the hardware, manages which memory chunks are tied to physical ram and are allowed to complete as is by the hardware, or are marked as not available in some way, causing an exception to the operating system, upon inspection the operating system determines that this is a valid address for this application, but the data behind this address has been swapped to disk. The operating system then finds through some algorithm another chunk of ram belonging to whomever (part of the algorithm) and it copies that chunk of ram to disk, marks the table related to that virtual to physical as not valid, then copies the desired chunk from disk to ram, marks that chunk as valid and lets the hardware complete the memory cycle.
Not any different than say how vmware or other virtual machines work. You can execute instructions natively on the hardware using virtual memory until such time as you cause an exception, the virtual machine might think you have an xyz network interface and might have a driver that is accessing a register in that xyz network interface, but the reality is you have no xyz hardware and/or you dont want the virtual machine applications to access that hardware, so you virtualize it, you trap that register access, and using software that simulates the hardware you fake that access and let the program on the virtual machine continue. This obviously not the only way to do virtual machines, but it is one way if the hardware supports it, to let a virtual machine run very fast as a percentage of the time it is actually running instructions on the hardware. The slowest way to virtualize of course is to virtualize everything including the processor, every instruction in that case would be simulated, this is quite slow but has its own features (virtualizing an arm system on an x86 or x86 on an arm, xyz on an abc, fill in the blanks). And if that is the type of virtual memory you are talking about in an embedded system, well if the embedded system is for the most part indistinguishable from a non-embedded system (an xbox or tivo for example) then well for the same reasons you could allow such a thing. If you were on a microcontroller, well the use cases there would generally mean if you needed more memory you would buy a bigger microcontroller, or add more memory to the system ,or change the needs of the application such that it doesnt need as much memory. there may be exceptions, but it mostly depends on your application and requirements, a general purpose or general purpose like system which allows for applications or their data to be larger than the available ram, will require some sort of solution. the microcontroller in your keyless entry key fob thing or in your tv remote control or clock radio or whatever normally would not have a need to allow "applications" to require more resources than are physically there.
The more important benefit of using virtual memory is that every process gets its own address space which is isolated from every other process's. That way virtual memory helps keep faults contained and improves security and stability. I should note that it is still possible for two processes to share a bit of memory, to facilitate communication (shared mem IPC).
Also you can do other tricks like conserving memory via mapping shared parts into more than one process's (libc comes to mind for embedded use) address space but only having it once in physical mem. Also this gives it a speed boost, you can even enhance it further the way linux does cheapen fork/clone by only copying the in kernel descriptors and leaving the memory image alone up until the first write access is done with a similar idea.
As a last benefit, in modern systems, it's common to do file I/O via mapping the file into the process space (cf. mmap for example).
It's interesting to note that one can get some of the benefits of "virtual memory" without needing a full-fledged MMU. The hardware requirements can sometimes be amazingly light. The PIC 16C505 has a 5-bit address space and 40 bytes of RAM; addresses 0x10 to 0x1F can map to either of two groups of 16 bytes of RAM. When writing an application which needed to manage two different data streams, I arranged so that all the variables associated with one data stream would be in the first group of 16 "switchable" memory locations, and those associated with the other would be at the corresponding addresses in the second group. I could then use the same code to manage both data streams. Simply set the banking bit one way, call the routine, set it the other way, and call the routine again.
One of the reasons Virtual Memory exists is so that your device can multitask. It can also act as your RAM does, thus taking the load off of your physical RAM and swapping the load back and forth.