Results

**1 - 9**of**9**### Table 1: Wirelength achieved by several placers on regular grids of varying size and whitespace. Plato is the original implementation of KraftWerk by Eisenmann and Johannes. While Plato produces small wirelength on n n grids, it often diverges on random-logic netlists with embedded grids.

"... In PAGE 3: ... The two changes described above improve the performance of Capo on the grid designs with 0% whitespace by a factor of two. Addition- ally, to test the performance of various available placement algo- rithms, the grid designs are placed by four different algorithms and the results are summarized in Table1 . Analytical placer KraftWerk [13] and the modified Capo placer [5] perform reasonably well on these netlists.... ..."

### Table 1: Wirelength achieved by several placers on regular grids of varying size and whitespace. Plato is the original implementation of KraftWerk by Eisenmann and Johannes. While Plato produces small wirelength on n n grids, it often diverges on random-logic netlists with embedded grids.

"... In PAGE 3: ... The two changes described above improve the performance of Capo on the grid designs with 0% whitespace by a factor of two. Addition- ally, to test the performance of various available placement algo- rithms, the grid designs are placed by four different algorithms and the results are summarized in Table1 . Analytical placer KraftWerk [13] and the modified Capo placer [5] perform reasonably well on these netlists.... ..."

### Table 2: Wirelength achieved by several placers on regular grids of varying size and with varying whitespace. Plato is the original implementation of KraftWerk by Eisenmann and Johannes. While Plato produces small wirelength on n n grids, it often fails to converge to a solution on random-logic netlists with embedded grids. FengShui 2.0, mPL 2.0 and Capo 8.5 frequently produce suboptimal solutions. However, Capo 8.6 does reasonably well. Since mPL 2.0 frequently produces overlaps, we also report the overlap as a % of the layout area.

2003

"... In PAGE 3: ... In congestion-driven mode, Dragon behaves like a fixed-die placer and allocates whitespace according to an internal congestion map. Wirelengths in Table2 may differ slightly for randomized placers such as Capo and Dragon. example, to avoid routing congestion in certain areas of ASIC designs, one may need to spread out collections of cells.... ..."

Cited by 12

### Table 2 (Gordian)

1994

"... In PAGE 21: ... Table 1 presents the results of a min-cut based placement procedure (cf. LAUTHER (1979) for a detailed discussion of the procedure), Table2 shows the results for Gordian, a method based on an energy model (KLEINHANS, SlGL, JOHANNES (1988)). Columiy2.... ..."

Cited by 6

### Table 1 (Min Cut)

1994

"... In PAGE 21: ...ensity is 23.6%.- Circuit 3 consists of 2670 cells and 3128 nets, its density is 50.3%. The density, of a circuit is the total area of the cells to be placed divided by the area of the master. Table1 presents the results of a min-cut based placement procedure (cf. LAUTHER (1979) for a detailed discussion of the procedure), Table 2 shows the results for Gordian, a method based on an energy model (KLEINHANS, SlGL, JOHANNES (1988)).... ..."

Cited by 6

### Table 1. Configuration of both walk-in displays.

2004

"... In PAGE 3: ... Data were collected in a series of six user trials between two walk-in displays at the University of Reading, UK and the Johannes Kepler University in Linz, Austria, over a period of two days. Table1 summarises the configuration of the two setups. Both remote sites have been connected via the standard Internet connections.... ..."

Cited by 2

### Table 3. The 25 historical persons with the highest rank.

2007

"... In PAGE 8: ...1 Evaluating the identified biographical information The rank assigned to each of the persons in the list provides a mechanism to present the extracted data in an attractive manner. Table3 gives the list of the 25 best ranked persons and the identified biographical information. Using the criterion defined in Section 4, Johann Sebastian Bach is thus the best known historical figure.... ..."

Cited by 1

### Table 3 Skewness and Kurtosis of Jt The table presents the actual and theoretical conditional skewness and kurtosis values for the three models estimated from the time series of S amp;P 500 Index values alone.

2004

"... In PAGE 23: ... So the jump risk premium accounts for about 12:5% of the total risk premium. Table3 reports the skewness and kurtosis of the conditional daily return residual normalized by the square root of the local scaling factor, i.... In PAGE 23: ...y the square root of the local scaling factor, i.e., yt=pht. We know that the NGARCH model assumes that the conditional distribution of daily return residuals is normal, which means the kurtosis of residuals should be 3. But Table3 shows that the actual kurtosis is larger than 3.11 Table 3 Here Eraker, Johannes and Polson (2003) find that jumps are infrequent events, occurring on average about twice every three years, tend to be negative, and are very large relative to normal day to day movements.... In PAGE 23: ... But Table 3 shows that the actual kurtosis is larger than 3.11 Table3 Here Eraker, Johannes and Polson (2003) find that jumps are infrequent events, occurring on average about twice every three years, tend to be negative, and are very large relative to normal day to day movements. In contrast, our average jump frequency is close to two a day.... ..."

Cited by 1

### Table 4: Variance forecasting results. Forecasting results over three time horizons for each model.

2006

"... In PAGE 40: ... We use the American adjustment feature in Broadie, Chernov, and Johannes (2007). The results for each model are in Table4 , with a graphical summary for the SVCJ model... In PAGE 41: ...274 in Figures (8) and (9). Regarding informativeness, Table4 indicates that the posterior standard deviation falls drastically in each model when options are added. The decrease is greatest incorporating risk premia, as the posterior standard deviation is roughly 40 percent lower in the SVJ and SVCJ models.... In PAGE 41: ... Regarding consistency, the results are less encouraging. First, assuming no risk premia we see from Table4 that the upper 95% tail of the filtering distribution using only returns is typically lower than the lower 5% tail of the filtering distribution using options and returns. This is most easily seen in Figure (8) where the green lines (which represent the (5, 50, 95) percent quantiles of the filtering distribution using options and returns) are generally higher than those obtained only from returns.... ..."

Cited by 2

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