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Significant advances in very large-scale integration process technology have scaled the feature size down. One effect of this scaling down is that coupling capacitances have grown reciprocal in the square of the scaling factor. This crosstalk effect will not only increase the power consumption but also lengthen the propagation delay. Since the data sequences on an instruction bus are known during the compile time, this paper presents two compiler algorithms, rescheduling and renaming, for performance improvement by eliminating crosstalk effects on an instruction bus. The results show that our crosstalk-eliminating postcomplier algorithms significantly reduce the dynamic instruction overhead from 11.50% to 0.52% by eliminating the 4middotC crosstalk. Due to the effective 4middotC crosstalk elimination, our proposed method can improve the instruction fetch time up to 9.59%

Significant advances in VLSI process technology have scaled the feature size down. One effect of this scaling down is that coupling capacitances have grown reciprocal in the square of the scaling factor. This crosstalk effect will not only increase the power consumption but also lengthen the propagation delay. Since the data sequences on an instruction bus are known during the compile time, this paper presents two post-compiler algorithms, rescheduling and renaming, for performance improvement by eliminating crosstalk effects on an instruction bus. The results show that our crosstalk-eliminating post-complier algorithms significantly reduce the dynamic instruction overhead from 11.50% to 0.52% by eliminating the 4-C crosstalk. Due to the effective 4-C crosstalk elimination, our proposed method can improve the instruction fetch time up to 9.59%.

Mathematical switches have been used to choose the suitable numerical scheme automatically at every computing step while solving differential equation problems with a multischeme approach. The concept of using mathematical switches in a numerical computation with a multiprocessor computer is feasible. The use of the switches in a multischeme computation yields a more accurate solution than the use of only a single scheme. We examined the use of two mathematical switches, namely, the one of exact error and of truncation error. The numerical results from the use of the former switch confirmed our conjecture that a combined solution of several schemes is indeed more accurate than one of an individual scheme. However, a switch of exact error is not practical and the one of truncation error is not satisfactory. Hence, further study is needed to design more practical and more satisfactory mathematical switches, and to establish the practical value on their use.