Hi.
These kinds of comparisons can be difficult. I think both hardware and software need to be considered.
Quote:
the CPU on linux box is 2.80GHz and on solaris box is 900 MHz made the difference?
Not necessarily, let us look a bit more.
You are comparing a 64-bit native RISC system, the SPARCV9, to a most-likely-32-bit CISC system, the Intel Xeon. Typically, a RISC system does not need the high clock speed of CISC. Is the Xeon Linux 32-bit or 64-bit?
I have used boxes that have that Intel Xeon CPU (2.8 GHz), and the predecessor of the SPARCV9, an Ultra-2 (but with 200 MHz clock).
Did you do the preparation of the program? At one time (in the 1990s) when I was comparing machines, we would often get codes that ran on IBM 3090s, and they didn't run too quickly on a Cray-2. When we looked in detail at the code, there were lots of
double precision declarations, the 3090 being 32-bit machines. The Crays were 64-bit. Once we had made the adjustment, the code almost always ran faster on the Cray.
The options chosen for compilation can make a lot of difference. Compilers that are proprietary might produce faster code than others. Are the supporting libraries the same or equivalent? Looking for the best algorithm is the best use of time when optimizing.
As porter mentioned, one aspect is IO. For IO-bound jobs, you need good disks, as well as good hardware to get the data to and from the disks. Do you have the same facilities on both boxes? The designers of the Xeon box I mentioned earlier incorporated a really fast FSB, which helps the balance of large-scale application programs -- they often do some computing, then a lot of IO, then compute, IO, etc., in cycles.
I think you are on the right track -- clock rates, all the specs, etc., are not the issue. It's how your program runs that will determine the best machine --
for this one application. However, I recommend that you spend some time making sure that the playing field is at least approximately level. If you are going to run other programs, then you will need a representative sample of those runs for a comparison. For example, the ETA-10 series were really good for vector-class problems, but not very good for scalar codes. Ask yourself: what is the mix that I will be using?
Best wishes, keep us posted ... cheers, drl