Ah so just the naive recursive fibonacci on 8 threads with no data sharing between them.
Interestingly doing the same on Cpython using the multiprocessing module was ~2x slower than jython/threads. More interestingly pypy with multiprocessing was ~5x faster than jython/threads.
$ time jython fib.py 40
real 1m11.247s
user 6m14.130s
sys 0m3.012s
$ time python fib.py 40
real 2m4.067s
user 11m46.103s
sys 0m2.352s
$ time pypy fib.py 40
real 0m21.040s
user 1m51.461s
sys 0m1.892s