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Analysis of the TOP500

In Table 3.3 we have sorted all different performance types showing up in the TOP500 and include the number of their appearances. Figure 3.2 shows individual as well as accumulated performances with respect to the positon in the TOP500. Figure 3.3 shows the same data for the first hundred entries only. The first 10 systems already contribute [l]First 10 Systems: 364 Gflop/s 364 Gflop/s [tex2html_wrap3904] (24.8%) to the list. The first 42 systems achieve [l]First 42 Systems: 733 Gflop/s half of the total performance in the TOP500! On the contrary, the last 100 [l]Last 100 Systems: 58 Gflop/ssystems contribute only 58 Gflop/s (4%).

Unfortunatly the [tex2html_wrap3906] values are not complete in our list. Looking at them in Figure 3.4 you can see that the values of [tex2html_wrap3908] are quite widespread. Low values are typical for vector machines where MPPs often show quite high ones. This indicates that you have to run bigger problems on MPPs to achieve good efficiencies. Figure 3.5 shows [tex2html_wrap3910] values. The difference between vector machines and MPPs is not so big, nevertheless MPPs tend to have higher [tex2html_wrap3912] values, which shows that they often have bigger memory. This is due to the fact, that their DRAM memory chips are cheaper than the SRAM memory chips of the vector machines.







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