How Much Memory Is My Program Really Utilizing

How A lot Memory Is My Program Really Using? It sounds like such a simple question - but virtual memory makes measuring actual memory use difficult. Shared memory just isn't apportioned per process utilizing it so it's overstated. Resident memory includes shared memory, so it overstates as effectively. Digital Memory Wave Program consists of resident memory plus information held in swap, which isn't in main memory. Fortunately until you're working a Linux kernel older than the last financial crisis, you may have a greater possibility: Proportional Set Measurement (PSS)¹. That is the amount of non-public memory the process is utilizing, plus its proportional allocation of shared memory. The file lists each memory block mapped to the method, and its properties. You would wrangle the smaps information with shell code, however you don’t must! The smem instrument does that, and it may possibly filter/format too. Memory ideas could be a bit abstract, so let’s have a look at an instance.



Now what do you suppose the output will present? The child course of receives a duplicate of its parent’s memory - so has real memory use doubled? No! The father or mother and child share the memory; if the little one tries to put in writing to any memory it inherited, the kernel will copy the memory page for the youngster to write to (this is known as copy-on-write). The overall resident memory is 167,280 KB however we know that’s a lie - there’s one massive array in memory and both processes are sharing it. The full PSS of 82,839 KB is more accurate. If my program exits, how a lot memory might be reclaimed? Whilst Proportional Set Dimension is beneficial for gauging how a lot memory a process is utilizing, it overstates how a lot memory shall be freed when the process exits as shared memory cannot be reclaimed. To measure free-in a position memory, use Unique Set Dimension (USS); the sum of all memory pages non-public to the process.



Conveniently, smem already reviews USS so there’s no want to jot down your personal answer until you’re curious³. This Bash one liner prints its own memory statistics by running smem and filtering the output to itself. The USS is 260 KB so I expect to free that a lot actual memory when it exits. At 341 KB, PSS is eighty one KB larger, and comprised of its proportional share of /bin/bash (already in memory as I’m launching this from a Bash shell), libc and other shared libraries, and the system locales. The Bash program starts quicker as by sharing the libraries already in memory, the kernel doesn’t have to copy them to the program’s memory. Moreover, shared memory reduces overall memory use. Digital memory complexifies working methods nevertheless it has lots of benefits. 1. PSS was created by Matt Mackall - this LWN article has extra information on its origins. Android taking too long to sample giant processes’ memory with a view to stability memory swimming pools. 3. And in case you are curious, this neat golang script by Viacheslav Biriukov calculates the Distinctive Set Size for a given PID. The pagemap interface and USS algorithm is described right here.



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