Hi All,
I'm trying to compile NumPy using the ATLAS libraries but am having
some difficulty with it. I've managed to build numpy such that
lapack_lite.so is linked as follows:
linux-gate.so.1 => (0xffffe000)
libatlas.so => /usr/local/atlas/lib/libatlas.so (0xb79e9000)
libptcblas.so => /usr/local/atlas/lib/libptcblas.so (0xb79c7000)
libptf77blas.so => /usr/local/atlas/lib/libptf77blas.so (0xb79ac000)
libpython2.5.so.1.0 => /usr/lib/libpython2.5.so.1.0 (0xb788f000)
libgfortran.so.1 => /usr/lib/libgfortran.so.1 (0xb7817000)
libm.so.6 => /lib/libm.so.6 (0xb77f1000)
libgcc_s.so.1 => /lib/libgcc_s.so.1 (0xb77e5000)
libc.so.6 => /lib/libc.so.6 (0xb76b7000)
libpthread.so.0 => /lib/libpthread.so.0 (0xb769f000)
libdl.so.2 => /lib/libdl.so.2 (0xb769a000)
libutil.so.1 => /lib/libutil.so.1 (0xb7696000)
/lib/ld-linux.so.2 (0x80000000)
However despite this, the performance when multiplying matrices is
extremely slow, and only a single thread is used even though
lapack_lite.so is linked with the pt atlas libraries. Does anybody
know how to fix this problem?
Thanks
Justin
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