ScienceMark 2.0 reveals the performance when processing typical scientific algorithms involved in math1ematical modeling tasks.
The obtained results are quite confusing. Of course, this tests runs evidently faster on dual-core processors than on single-core ones. However, once we add a second dual-core CPU the results do not get any better. However, we managed to find a logical explanation in this case, too. ScienceMark is optimized for dual-core systems in such a way that the parallel calculations are processed in two threads. However, our dual-processor system features four computational cores and can show the best results only in case there are four simultaneous computational threads running. So, there should be deeper optimization of the ScienceMark 2.0 test, then we will see real advantage of the second dual-core CPU for our system.
When we tested the desktop dual-core processors, we pointed out that contemporary video codecs do support multi-threading. Let’s take a look how a more serious system with two dual-core CPUs could speed up the video encoding process.
The picture we observe in the popular codecs reminds us of the ScienceMark results we have just discussed. And the reasons are pretty much the same. Not so long ago the codec developers optimized their products for systems capable of processing two computational threads at a time, and now we are asking them to support quad-processor systems… Unfortunately, most codec are still unable to load four processor cores with work at a time.