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Volumn 34, Issue 8, 1997, Pages 637-652

A new formula for speedup and its characterization

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL GEOMETRY; FUNCTIONS; PROBABILITY DISTRIBUTIONS; PROBLEM SOLVING; PROGRAM PROCESSORS; RANDOM PROCESSES;

EID: 0031295221     PISSN: 00015903     EISSN: None     Source Type: Journal    
DOI: 10.1007/s002360050100     Document Type: Article
Times cited : (3)

References (18)
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    • Aczél, J.1
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    • Why, how and how not to apply mathematics to economics and to other social and behavioral sciences. An example: Merging relative scores
    • J. Aczél: Why, How and How Not to Apply Mathematics to Economics and to Other Social and Behavioral Sciences. An Example: Merging Relative Scores. Grazer Math. Ber. 315, 1-12 (1991)
    • (1991) Grazer Math. Ber. , vol.315 , pp. 1-12
    • Aczél, J.1
  • 6
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    • Procedures for synthesizing ratio judgements
    • J. Aczél, T.L. Saaty: Procedures for Synthesizing Ratio Judgements. J. Math. Psych. 27, 93-102 (1983)
    • (1983) J. Math. Psych. , vol.27 , pp. 93-102
    • Aczél, J.1    Saaty, T.L.2
  • 7
    • 0040012668 scopus 로고
    • Random competition: A simple, but efficient method for parallelizing inference systems
    • Berlin, Heidelberg, New York: Springer
    • W. Ertel: Random Competition: A Simple, but Efficient Method for Parallelizing Inference Systems. In: Parallelization in Inference Systems. Lect. Notes in Artif. Intell. 590, pp. 195-209. Berlin, Heidelberg, New York: Springer 1992
    • (1992) Parallelization in Inference Systems. Lect. Notes in Artif. Intell. , vol.590 , pp. 195-209
    • Ertel, W.1
  • 9
    • 0022681148 scopus 로고
    • How not to lie with statistics: The correct way to summarize benchmark results
    • P.J. Fleming, J.J. Wallace: How not to Lie with Statistics: The Correct Way to Summarize Benchmark Results. Commun. ACM 29, 218-221 (1986)
    • (1986) Commun. ACM , vol.29 , pp. 218-221
    • Fleming, P.J.1    Wallace, J.J.2
  • 10
    • 21344487013 scopus 로고
    • On the reasons for average superlinear speedup in parallel backtrack search
    • Computer Science Logic 93. Berlin, Heidelberg, New York: Springer
    • A. Goerdt, U. Kamps: On the Reasons for Average Superlinear Speedup in Parallel Backtrack Search. In: Computer Science Logic 93. Lect. Notes Comput. Sci. 832, pp. 106-127. Berlin, Heidelberg, New York: Springer 1994
    • (1994) Lect. Notes Comput. Sci. , vol.832 , pp. 106-127
    • Goerdt, A.1    Kamps, U.2
  • 12
    • 0022184755 scopus 로고
    • Superlinear speedup through randomized algorithms
    • New York: IEEE Computer Society Press
    • R. Mehrotra, E.F. Gehringer: Superlinear Speedup Through Randomized Algorithms. In: International Conference on Parallel Processing, pp. 291-300. New York: IEEE Computer Society Press 1985
    • (1985) International Conference on Parallel Processing , pp. 291-300
    • Mehrotra, R.1    Gehringer, E.F.2
  • 13
    • 0024875967 scopus 로고
    • Expected performance of parallel search
    • New York: IEEE Computer Society Press
    • K.S. Natarajan: Expected Performance of Parallel Search. In: International Conference on Parallel Processing, pp. 121-125. New York: IEEE Computer Society Press 1989
    • (1989) International Conference on Parallel Processing , pp. 121-125
    • Natarajan, K.S.1
  • 16
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    • Characterizing computer performance with a single number
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    • (1988) Commun. ACM , vol.31 , pp. 1202-1206
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  • 17
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    • Superlinear speedup for parallel backtracking
    • Berlin, Heidelberg, New York: Springer
    • E. Speckenmeyer, B. Monien, O. Vornberger: Superlinear Speedup for Parallel Backtracking. In: Supercomputing. Lect. Notes Comput. Sci. 297, pp. 985-994. Berlin, Heidelberg, New York: Springer 1988
    • (1988) Supercomputing. Lect. Notes Comput. Sci. , vol.297 , pp. 985-994
    • Speckenmeyer, E.1    Monien, B.2    Vornberger, O.3
  • 18
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    • Toward a better parallel performance metric
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.