![]() ![]() Under some pretty exceptional circumstances, that "increase" in needed number of bits can be the difference between good performance and poor performance on a memory limited machine.īeyond that, since you are likely to be running 32 bit software on a machine that could be running 64 bit software anyway, and 32 bit support works reasonably well on 64 bit machines, the differences on the hardware side are not game changing. Those same addresses take 32 bits in a 32 bit machine. Memory addresses in a 64 bit machine naturally take 64 bits. Still, you have to decide how these factors affect your environment. None of this adds up to a show-stopper for most people. You can't run a 32-bit driver on a 64-bit kernel. NET development on 64-bit machines leaves you open to a frustrating inconsistency where under certain circumstances exceptions are masked by the OS. Most people don't know how to do this.Īs pointed out by Daniel B: Windows. Many developers don't even know this is happening, and ship production components that will fail to run on 64-bit systems without some tweaking to explicitly instruct. NET framework is a great example of this: while the programs are theoretically architecture-independent, anytime you link to a native binary you tie to one arch or the other. This is particularly visible in systems that dynamically compile on the host machine but pull in 3rd-party binary libraries at the same time. You still get better compatibility with legacy components and software with 32-bit. As pointed out by OrangeDog: Much of this space consumption comes from the fact that 64-bit OSes ship 32-bit libraries in addition to the 64-bit ones. It's also quite a lot more once you uncompress the binaries. Just go download the ISOs for your favorite OS in 64 and 32 -bit flavors to see the difference. The age of your software matters, as newer builds take advantage of 64-bit stuff that older builds do not. But 32-bit does in fact occasionally win on some benchmarks. In the benchmarks I've seen, that efficiency tends to be be overshadowed by 64-bit's greater computational efficiency in heavy-computation environments. ![]() 32-bit can be slightly faster in certain use cases - the smaller addresses means sightly more compact code, which means greater cache efficiency. ![]()
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