By Susumu Hayashi, Ryosuke Sumitomo (auth.), Jieh Hsiang, Atsushi Ohori (eds.)
This e-book constitutes the refereed lawsuits of the 4th Asian Computing technology convention, ASIAN'98, held in Manila, The Philippines, in December 1998.
The 17 revised complete papers offered have been conscientiously reviewed and chosen from a complete of forty three submissions. additionally integrated are a number of invited contributions. one of the issues coated are automatic deduction, facts concept, rewriting platforms, software semantics, disbursed processing, algorithms, and graph-theoretical points.
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Additional info for Advances in Computing Science ASIAN 98: 4th Asian Computing Science Conference Manila, The Philippines, December 8–10, 1998 Proceedings
Heimdahl and N. Leveson, “Consistency and completeness analyses of statebased requirements,” 17th Intl. Conf. , IEEE, 1995. 5. C. Heitmeyer, A. Bull, C. Gasarch, B. Labaw, “SCR*: A toolset for specifying and analyzing requirements,” In Proc. of COMPASS’95, IEEE 1995. 6. N. Hoover and Z. Chen, “Tablewise, a decision table tool”, In Proc. of COMPASS’95, IEEE 1995. 7. S. F. , “Verification of IEEE compliant subtractive division algorithm,” Proc. FMCAD’96, LNCS 1166, Palo Alto, CA, 1996. 8. D. Kapur, “Rewriting, decision procedures and lemma speculation for automated hardware verification,” Proc.
G. dm) can be exploited to identify common structure among different cases. 1 Sparse Tables Definition 1 A table t is sparse iff there is at least one table entry t(i1 , · · · , in ) such that the number of index tuples with that entry is at least ≥ |t|/2, where |t| is the size of t. In a sparse table, thus, the majority of the entries have the same value. This entry value is called the most frequent entry value. The table dm is sparse with the most frequent entry value being 0. Similarly, the table gcd is also sparse with the most frequent entry value being 1.
In particular, it is necessary to minimize the number of iterations and efficiently i) compute the quotient digit in each iteration, ii) multiply divisor by the quotient digit, as well as partial remainders and quotients by radix, and iii) perform subtraction/addition. The SRT division algorithm in this paper uses the radix 4, and the quotient digits are represented by a redundant signed-digit representation with digits in the range [−2, 2]. Tradeoffs between speed, radix choice and redundancy of quotient digits are discussed in .
Advances in Computing Science ASIAN 98: 4th Asian Computing Science Conference Manila, The Philippines, December 8–10, 1998 Proceedings by Susumu Hayashi, Ryosuke Sumitomo (auth.), Jieh Hsiang, Atsushi Ohori (eds.)