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However, this would use hundreds or thousands of bytes of memory for each character. Instead, each character can have a reference to a glyph object shared by every instance of the same character in the document. This way, only the position of each character needs to be stored internally. As a result, flyweight objects can: [5]
One might reduce the amount of time that a program takes to perform some task at the price of making it consume more memory. In an application where memory space is at a premium, one might deliberately choose a slower algorithm in order to use less memory.
There are up to four aspects of memory usage to consider: The amount of memory needed to hold the code for the algorithm. The amount of memory needed for the input data. The amount of memory needed for any output data. Some algorithms, such as sorting, often rearrange the input data and do not need any additional space for output data.
To minimize RAM use, all users share a single copy of the program. Each process's page table is set up so that the pages that address code point to the single shared copy, while the pages that address data point to different physical pages for each process. Different programs might also use the same libraries.
By reducing the I/O activity caused by paging requests, virtual memory compression can produce overall performance improvements. The degree of performance improvement depends on a variety of factors, including the availability of any compression co-processors, spare bandwidth on the CPU, speed of the I/O channel, speed of the physical memory, and the compressibility of the physical memory ...
If we ignore both these effects, then the average memory access time becomes an important metric. It provides a measure of the performance of the memory systems and hierarchies. It refers to the average time it takes to perform a memory access. It is the addition of the execution time for the memory instructions and the memory stall cycles.
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If present in memory and not privately modified the physical page is shared with file cache or buffer. Shared memory acquired through shm_open. The tmpfs in-memory filesystem; written to swap when paged out. The file cache including; written to the underlying block storage (possibly going through the buffer, see below) when paged out.
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