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2 dni temu · Use AI to analyze your code's runtime complexity. Returns the answer in Big O notation across all languages (Python, C++, C, Java, Javascript, Go, pseudocode, etc.) and with partial or incomplete code.
1 dzień temu · I am trying to write an algorithm that will take a list of processes with specified run times to be executed across N CPUs and will return the total wait time for all the processes – Mofiz Commented 2 mins ago
4 dni temu · If you are including the time to compile and link the program (which takes time, particularly if you enable optimisation) then you are comparing apples with oranges. Running a python script does not have such overheads at all (the python interpreter would be built with a compiler/linker, but the overhead of that process is not included when you ...
3 dni temu · Accurate garbage collection requires the ability to identify all pointers in the program at run-time (which requires that the source-language be type-safe in most cases). Identifying pointers at run-time requires compiler support to locate all places that hold live pointer variables at run-time, including the processor stack and registers .
3 dni temu · For architectures that support it (currently x86, Sparc, and PowerPC), by default, lli will function as a Just-In-Time compiler (if the functionality was compiled in), and will execute the code much faster than the interpreter.
1 dzień temu · The suite comes with tools to collect metrics such as benchmark runtime, compilation time and code size. The test-suite is divided into several directories: SingleSource/
2 dni temu · In the above code, the function schedule\_processes() takes two arguments - the number of CPUs and a vector of run times for each process. It calculates the time slice for each CPU and iterates through each time slice, allocating CPU time to each process in a cyclic manner. Advantages of Cyclic Process Scheduling
