Effect of Using 64-bit Pointers?
An anonymous reader queries: "Most 64-bit processors provide a 32-bit mode for compatibility, but 64-bit pointers are becoming essential as systems move beyond 4GB of RAM. Also, the large virtual address space is very useful for several reasons - allowing large files to be memory-mapped, and allowing pages of memory to be remapped without ever requiring the virtual address space to be defragmented. However, 64-bit pointers take up twice as much memory, which immediately affects memory footprint. This is especially an issue on embedded platforms where RAM is at a premium, but even on systems where RAM is plentiful and cheap the extra memory footprint reduces cache performance. Have Slashdot readers done any research into the actual effect of using 64-bit pointers in a 'typical' application? What proportion of a real program's data is actually pointers?"
Have Slashdot readers done any research into the actual effect of using 64-bit pointers in a 'typical' application?
none whatsoever.
What proportion of a real program's data is actually pointers?
none whatsoever.
oh... i use java.
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Is this really a problem in the embedded space?
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How many embedded devices are running 64-bit processors now? Offhand, I'd say this is only a problem if you have an embedded device with more than 4 GBytes of memory... in other words, it hardly sounds like a real-world problem for embedded devices. Yes, workstations and servers with 64-bit processors should probably be using 64-bit pointers.
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Huh? On systems where RAM is at a premium, I don't see the point of using or having 64-bit pointers.
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There is always potential trade-offs between run speed and memory space. For example, you could always use a single 64-bit pointer, and save all your addresses as 32-bit or even 16-bit offsets from that pointer (requiring pointer arithmetic to access any object). Then you would use less memory, but your code would run faster.
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Given that memory access times are bound by latency far more than bandwidth, the effect of loading another four bytes into the register file is most likely insignificantly small. I'm certain that 8-byte register-to-register operations *are* insignificantly small, and it's likely that pointers, given that they are not large but often accessed would be kept in registers. It would depend highly on the particular architecture.
Does anyone use 64 bit processors for embedded applications?
There's an interesting discussion of 64-bit immediate values at the following link: 64 bit immediates in Python
If we are already using 64 bits for our pointers, a virtual machine has the potential of exploiting a the pointer's larger footprint for other immediate values. I'm not as crazy about using the MSB of the pointer for indicating an immediate as Ian Bicking appears to be, I'd recommend using the LSB since it's easier to bias any object to an even address than halve the potential addressable space.
Then again, if the potential address space is 2 ** 64, I suppose it's not such a sacrifice.
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The truth of the matter is that your everyday user just has no need to handle numbers of that size or data of those quantities.
Now where have we heard that before...
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With modern processors it's not uncommon to require 64-bit or 128-bit memory alignment on data structures to get the best performance. There are even some instructions that *require* such data alignments in order for them to work at all (for example: MMX or SIMD).
Because of these existing data alignment issues, going from 32-bit to 64-bit pointers may have absolutely no impact on a program's memory usage and cache performance. It is highly likely you're already using 64-bit alignment when you enable the compiler's optmizations.
Unless you're building massive linked lists of stuff in a scientific / simulation environment this is probably something not worth worrying about. The efficiency and volume of your actual data will still be the biggest waste of space - and it's not like you won't be able to attach more physical memory onto your new system than the old one.
If it does effect you... you probably already know what you're doing or you've been making very bad assumptions about the size of your variable types.
Then you whine about using an extra 4 bytes per pointer to address it. Seems to me that the number of pointers relative to the amount of RAM is so small it's not an issue. Correct me if I'm wrong.
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With linux on sparc64, typical applications are 30% slower when running in 64bit userland mode as opposed to 32bit userland mode. There are of course exceptions...
It's not that 32bit processors are a problem, it's that their virtual address space is not very big. 64bit processors can mmap anything you want, even block devices >> a few terabytes. (So if the HURD ever gets ported to AMD64, they can support filesystems > 2GiB, which they don't last I checked because they mmap the device, and the HURD only runs on i386!)
Being able to mmap anything you want is something you just plain can't do on a 32bit CPU. If you want to write programs that don't worry about address space limitations, you need 64bit. Anything that simplifies programming is good, since programmer time is valuable.
Besides that, even if you have 1GB of RAM on i386, Linux needs highmem support to use it all. (It reserves 3GB of virtual address space for user space, and the kernel maps as much RAM as it can with the address space that's left over after mapping PCI and AGP space. So 64bit is useful even on good desktop machines right now. (using highmem slows the kernel down, so might not even be worth it to map the last ~100MiB if you have 1GiB installed.)
Stupid crap like highmem is exactly why we should be using 64bit CPUs.
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Raymond Chens web log. Lately he's been discussing IA 64 programming. I don't pretend to understand 1/2 of what he's talking about but I thought some of the readers here might be interested in what he has to say.
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First of all there is no such thing as a typical program... If you are writing a lisp interpreter where everything is a pointer then you may see your memory usage almost double. If you have a numerical program that is dominated by huge arrays of floats you might not see any difference at all.
Second, here is a trick I have seen - it seems a bit strange but works well if you encapsulate your data well. Keep in mind that objects are generally aligned to a 8-byte boundary (if they are malloc'ed). That means your low 3 bits are not used at all. If your objects have, say, 64 bytes of data in them (possibly after a bit of padding) then you are wasting 6 bits. Just store your pointers as 32-bit words, shifted over by 6 bits. When you want to dereference them, your get-the-pointer accessor function just shifts them back and gives you a 64-bit pointer.
Now you have an effective address space of 256GB and your data size has not grown at all. Maybe you have taken a hit in performance but until you benchmark you never know...
Now, this kind of stuff might be useful for...um...hard-core video editing...and really, really huge servers, but that's about it. The truth of the matter is that your everyday user just has no need to handle numbers of that size or data of those quantities.
What happens when "your everyday user" wants to perform "hard-core video editing" on footage she shot of her family with her miniDV camcorder?
I concur with your findings. Back in the days I was experiencing a little disconfort with the speed of my Pentium 90 running linux, I decided to buy a Digital Alpha system 266 MHz. Both systems were configured with 64 MB, and both ran Red Hat 5.2.
Although the Alpha system is obviously superior in number crunching, I noticed it ran out of physical memory on a regular basis where my P90 whould still be happy. Part of the matter it that alpha binaries tended to be much larger, as was the kernel. But I'm also quite sure that a major part is primarily due to the increased amount of "lost" bits in pointers and memory alignments of small data structures.
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On CPU:s with segments the impact must be much less if even at all. Say for instance that you reside in a 32 bit segment X and 16 bit subsegment Y then you would use 16 bit storage of pointers in RAM even though the CPU constructs the full 64 bit pointer internally by concatenating all the parts from the segment registers with the 16 bit from RAM.
I don't assume any CPU in particular just the principle of segments.
Thus, you can expect Java heaps to expand by about 50% when moving from 32-bit to 64-bit pointers. What effect this has on your program's performance depends on the relation between the program's resident sets and the machine's cache. For instance, if your program has a resident set of 200KB on a machine with a 256KB cache, then the extra 50% will blow the cache and kill your performance. If the resident set were 150KB, the performance impact would probably be minimal.
Disclaimer: I was doing this as a pet project in my spare time, so take these numbers with a grain of salt.
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>This is especially an issue on embedded platforms where RAM is at a premium... What kinds of embedded platforms are likely to be needing greater than 4gb RAM anyhow? I sure as hell cant imagine a use for a 64bit washing machine with upwards of 4gigs .. Thats a hell of a lot of washing programmes.
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A few years back I did a test with a server which store state information (I will not bore you with the details). I did some performance test on both the 32-bit version and the 64-bit version. Same source code. Same test data. Same configuration. On HP-UX 11.0 PA-RISC with the aCC compiler.
The 64-bit version used about 15% more memory than the 32-bit version. But it was also 20% percent faster. That still puzzles me, because the server does not perform any 64-bit operations.
Seriously, it is faster. I've been writing in assembly for years, and unless I need a 32 bit pointer, I generally don't use them.
If you're that concerned about performance that you are analysing pointer size, you might as well code in assembly. Yes, 64 bit pointers have a bigger footprint, but we experienced the same problem when we went to unicode strings, 32 bit code, etc...
My advice is this: let the compiler deal with it. Unless you are willing to crank out a lot of hand-coded assembly or are interfacing with hardware, the 32/64 bit pointer question is pretty much moot. As it is, you can't control:
for (int x = 0; x < 256; x++)buffer[x] = 0;
Into something like this:
mov cx,64
mov eax,0
mov si,buffer
cld
rep stosd
Instead of the literal translations of the old compilers:
mov si,buffer
mov bx,0 ; this is the x variable
forlabel@10001:
mov [bx + si],0
mov ax,1
add ax,bx
xchg bx,ax
cmp bx,256
jl forlabel@10001
The former takes 68 instruction cycles, the later takes (6 * 256 + 2) = 1576!
The aforementioned issues have a much bigger impact on performance than pointer size. Given that the memory bus is at least 64 bits wide on anything newer than a pentium, you won't incur a clock cycle penalty for using 64 bit pointers.
The only thing that I would suggest is to watch where you place pointers in structures. For example, when building a linked list, you would want to do something like this:
class link {
link * ptrforward;
link * ptrbackward;
link * ptrdata;
}
rather than:
class link{
link * ptrdata;
link * ptrbackward;
link * ptrforward;
}
Because the processor pulls 64 bits per address accessed, the former structure would have the forward pointer in cache regardless of the pointer size. With the second structure, traversing a list in the forward direction would result in a cache miss on every node visited, regardless of pointer size (This applies only to the x86...).
My experience has been that pointer size is only relevant on truly tiny systems - for example, 16 bit code which has to fit into a few kilobytes. Usually, as programs scale to work with larger datasets, the percentage of memory used for pointers decreases rapidly. You'll find that as data sizes increase, the practical uses for linked structures shrink; locating an element by using a binary search on a sorted array scales much better than a linear search traversing linked list.
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