### TABLE 3. This table shows the difference between WWT and WWT II. CC-NUMA = Cache-Coherent Non-Uniform Memory Architecture. COMA = Cache- Only Memory Architecture. DSM = Distributed Shared Memory. SMP = Symmetric Multiprocessor. The lines of source code reported above does not include the lines of source code for the executable editors, SAM, or the target benchmark.

1997

Cited by 33

### TABLE 3. This table shows the difference between WWT and WWT II. CC-NUMA = Cache-Coherent Non-Uniform Memory Architecture. COMA = Cache- Only Memory Architecture. DSM = Distributed Shared Memory. SMP = Symmetric Multiprocessor. The lines of source code reported above does not include the lines of source code for the executable editors, SAM, or the target benchmark.

1997

Cited by 33

### Table 1. Comparison between Two-Stage and Three-Stage Linear Decompressors for Non-Uniform Specified Bit Distributions

"... In PAGE 6: ... Experimental Results To see how the encoding efficiency for the proposed 3-stage scheme varies with respect to different distributions of specified bits and different scan architectures, the first set of experiments was performed on randomly generated test cubes. The results are shown in Table1 . The number of channels from the tester, b, was 16.... ..."

### Table 8.1. Comparison between Two-Stage and Three-Stage Linear Decompressors for Non-Uniform Specified Bit Distributions Random Test Cubes Scan Architecture Linear

2004

### Table 2. The distribution of the data in non-uniformly

1992

"... In PAGE 22: ... Table2 shows the distribution of the data in the non-uniformly distributed #0Cles among 3 disks. Number of Data Distribution on Disks Records Number of Blocks Number of Blocks Number of Blocks in Files on Disk 1 on Disk 2 on Disk 3 1000 14 13 14 10000 138 138 137 15000 209 210 208 20000 279 279 279 Table 1.... In PAGE 22: ... Table 1 shows that the data in the uniformly distributed #0Cles is evenly distributed among disks. Table2 shows that the data in the non-uniformly distributed #0Cles is nearly equally distributed among disks even without using any rebalancing algorithm. Performance of range query processing.... ..."

Cited by 38

### Table 7: Non-uniform Input

1998

"... In PAGE 9: ...93 0.9506 66990 Table 6: Di#0Berent Symbol Ratios InputClass = Uniform, m =2;n= 1000;k =2;p=#28Ratio; 1 , Ratio#29 Table7 shows selected experiments with input generated from non-uniform probability distributions The probability distribution of each0; 1-input string is described by a linear functions de#0Cned over its length. For simpli#0Ccation, this function is de#0Cned by the line connecting the probabilityvalues of the leftmost string symbol p l and the rightmost string symbol p r .... ..."

Cited by 1

### Table 2: Parameters for non-uniform distribution

### Table 3: Parameters for non-uniform capacity

### Table2. Computational results of non-uniform traffic demand

1996

"... In PAGE 6: ...he second system tested has a non-uniform demand. It has 12 nodes and its reception capacity is 3. We generate 20 different traffic demands in the range of 2 - 6. Table2 is the computational results of our ... ..."

### Table 5 - Computed Stresses (Non-Uniform Model)

"... In PAGE 8: ...able 4 - Computed Stresses (Uniform Model)............................... 29 Table5... In PAGE 37: ... For the linearly decreasing pressure case it occurs at 41%, and for the linearly increasing pressure case it is roughly 28%. Table5 lists the maximum Von Mises stresses achieved for each load case at each level of deterioration investigated using the non-uniform model. The data are also presented in graphical form in Figure 13.... ..."