### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 66: ... It is based on vector processors that are manufactured by NEC. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 52: ...51 accurate as that from Gaussian Elimination. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 36: ... ** The IBM GF11 is an experimental research computer and not a commercial product. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 54: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 54: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 57: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 55: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 53: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... ..."

### Table 3: Highly Parallel Computing

"... In PAGE 4: ... (If you choose to do Gaussian Elimination, partial pivoting must be used.) Compute and report a residual for the accuracy of solution as jjAx ? bjj=(jjAjjjjxjj): The columns in Table3 are de ned as follows: Rmax the performance in G op/s for the largest problem run on a machine. Nmax the size of the largest problem run on a machine.... In PAGE 54: ... The results obtained using Strassen Algorithm are as accurate as that from Gaussian Elimination. The columns in Table3 are de ned as follows:... ..."

### Table 3: Comparisons of Abstracts and Introductions from Applied Linguistics and Computer Science

"... In PAGE 8: ... Feak, 2004). A major move may consist of one to several sub-moves. Comparison was made on each section between total numbers of the AL and the CS disciplines, and then, across the three sections (abstracts, introductions, and discussions) between the two areas. The comparison of abstracts in the two disciplines indicates that the Background and Gap sub-moves in both corpora were not as frequently found as the others as shown in Table3 . Surprisingly, the Conclusion sub-moves in the CS corpus did not occupy a high percentage, even lower than that of the Background sub-moves.... ..."