Java programs can outperform compiled programming languages like C in specific tasks. It is because the JVM has runtime information, and does JIT compiling when necessary (i guess).
(example: http://benchmarksgame.alioth.debian.org/u32/performance.php?test=chameneosredux)
Is there anything like this for a compiled language? (i am interested in C first of all)
After compiling the source, the developer runs it and tries to mimic typical workload. A tool gathers information about the run, and then according to this data, it recompiles again.
gcc has -fprofile-arcs
from the manpage:
-fprofile-arcs
Add code so that program flow arcs are instrumented. During execution the
program records how many times each branch and call is executed and how many
times it is taken or returns. When the compiled program exits it saves this
data to a file called auxname.gcda for each source file. The data may be
used for profile-directed optimizations (-fbranch-probabilities), or for
test coverage analysis (-ftest-coverage).
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With