They require more memory and processing power to run on the router.They require more memory and processing power to run on the router.They require more memory and processing power to run on the router.They require more memory and processing power to run on the router.
Yes they will require different memory than PC's, also being more expensive.
Compilers check correctness of your program syntax, memory allocation procedures and so on.
memory is a store deta is callad memory storage and computer require take deta in memory.
In turbo C pointer maximum refers up to 1MB of memory, wheras in GCC pointer refers up to 4 gb of memory.
Generally speaking, servers usually have more memory than desktops and workstations.
an auctioner, or you can just learn to have longterm memory, lots of jobs require that! ;)
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Symbol table is a file that Compilers / Assemblers use to store symbols and their equivalent relative memory locations, values, data types for the following steps. It's an intermediate file, so the compiler chooses where to store it. Some compilers delete the file after processing
during testing of any code it is usefull, normally interpreters are slow as we need to interpret every time the code is to be executed , but for compilers object code generated can used for any no . of times . for a code to be interpreted it has to be completely in main memory .
Actually it's the other way around. You require different compilers for different operating systems. The reason for this is that an operating system is basically an intermediate step for a person to be able to interact with the hardware on their system. Each OS has a different way to do this, and so compilers must be different for each one, even for the same language.
A single-pass compiler reads the source code once and generates the object code in a single pass. This results in faster compilation times and efficient memory usage. However, it may not be able to handle forward references, leading to potential errors. On the other hand, a multi-pass compiler makes multiple passes over the source code, allowing for more complex optimizations and better error handling. However, it requires more memory and may result in slower compilation times.