Re:Can someone provide some insight? (Score 4, Interesting)

Another question: I've been waiting for OpenMP support in gcc, it seems to be coming soon. In the meantime, I tried to parallelize my code by hard coding my threads using pthreads. I tested it by running several matrix-matrix multiplications "in parallel" on a multi-core CPU, and what I've got was all threads running on the same processor. Only after increasing my number of threads to a couple of dozens, I get some of them to run on the second processor. So basically, I am not getting any performance gain. I asked a number of people an they tell me "this is an old problem, basically the Linux kernel scheduler is stupid and nobody has bothered to fix it". Now, is Ingo's new scheduler fixing this? if gcc-openmp relies on the kernel scheduler, should we expect that open-mp will basically work-but-not-really-work on shared memory multi processor machines? I think this is an important issue to address, especially in an era where high-performace computing has become the driving force behind the hardware. BTW, how are otehr commercial compilers overcoming this scheduling problem?