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The physical metrics of the previous section are the predicted values given by MOODS. To get a more accurate assessment of the design, RTL synthesis of the structural VHDL output of MOODS is required. This was carried out using Mentor Graphics Leonardo Spectrum RTL synthesis suite. These results can be finessed further by carrying out placement and routing using the Xilinx Integrated Software Environment (ISE) Foundation suite. The results predicted by all three tools (MOODS, Leonardo and Foundation) for the three approaches (DES, Iterative TDES and Pipelined TDES) are shown in Table 19.2. In all cases, the design was optimized during RTL synthesis using the vendors’ default optimization settings—a combination of area and delay optimization—with maximum optimization effort. Placement
Table 19.2 Predicted Results for MOODS, Leonard and Foundation Tools.
and routing was performed with an unreachable clock period to force Foundation to produce the fastest design.
This shows that MOODS tends to overestimate the area of the design and underestimate the delay. Both of these are expected outcomes. The tendency to overestimate area is because it isn’t possible to predict the effect of logic minimization when working at the behavioral level. The tendency to underestimate delay is because it isn’t possible to predict routing delays.
Manufacturer:Xilinx
Product Categories: FPGA
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Manufacturer:Xilinx
Product Categories: FPGAs (Field Programmable Gate Array)
Lifecycle:Obsolete -
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Manufacturer:Xilinx
Product Categories: FPGAs (Field Programmable Gate Array)
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RoHS: No RoHS
Manufacturer:Xilinx
Product Categories: FPGAs (Field Programmable Gate Array)
Lifecycle:Active Active
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Manufacturer:Xilinx
Product Categories: FPGAs (Field Programmable Gate Array)
Lifecycle:Active Active
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