Amusingly, I've done a multi-threaded version of the word counting program in order to test a shm kv store. I needed benchmark that created a lot of cross thre

Amusingly, I've done a multi-threaded version of the word counting program in order to test a shm kv store. I needed benchmark that created a lot of cross thread concurrent accesses to keys and I found a blog about this test. My version has serious constraints though, you have to create a shared memory map with enough space to hold all of the keys beforehand, as it doesn't resize the shm kv map as it runs. This is the source for it: https://github.com/raitechnology/raikv/blob/master/test/ctest.c https://github.com/raitechnology/raikv/blob/master/test/ctes... The speedup of the multi-threaded version vs the single-threaded version is about linear. The single threaded version uses 2 threads, one to read stdin and one to hash the keys, the 16 threaded version uses one thread to read, 16 to hash. $ time ctest -t 1 < ~/data/enwiki-p10p30303 18.88user 0.25system 0:09.58elapsed 199%CPU $ time ctest -t 16 < ~/data/enwiki-p10p30303 8.08user 0.25system 0:00.49elapsed 1680%CPU