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Volumn 4967 LNCS, Issue , 2008, Pages 1059-1067

Tightness results for malleable task scheduling algorithms

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; DYNAMIC PROGRAMMING; EVOLUTIONARY ALGORITHMS; GRAPH THEORY; INTEGER PROGRAMMING; LINEAR PROGRAMMING; LINEARIZATION; MATHEMATICAL MODELS; MATHEMATICAL PROGRAMMING; MICROFLUIDICS; NONLINEAR PROGRAMMING; PARALLEL ALGORITHMS; PARALLEL PROGRAMMING; POLYNOMIAL APPROXIMATION; SCHEDULING; STATISTICS;

EID: 45449097653     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-68111-3_112     Document Type: Conference Paper
Times cited : (5)

References (14)
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    • Approximation algorithms for the discrete time-cost tradeoff problem
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    • Complexity of scheduling parallel task systems
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  • 5
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    • Approximate algorithms scheduling parallelizable tasks
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  • 6
    • 38049155264 scopus 로고    scopus 로고
    • A 3/2-approximation algorithm for scheduling independent monotonic malleable tasks
    • Mounie, G., Rapine, C., Trystram, D.: A 3/2-approximation algorithm for scheduling independent monotonic malleable tasks. SIAM J. Comp. 37(2), 401-412 (2007)
    • (2007) SIAM J. Comp , vol.37 , Issue.2 , pp. 401-412
    • Mounie, G.1    Rapine, C.2    Trystram, D.3
  • 7
    • 11844271642 scopus 로고    scopus 로고
    • Scheduling malleable parallel tasks: An asymptotic fully polynomial time approximation scheme
    • Jansen, K.: Scheduling malleable parallel tasks: An asymptotic fully polynomial time approximation scheme. Algorithmica 39(1), 59-81 (2004)
    • (2004) Algorithmica , vol.39 , Issue.1 , pp. 59-81
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  • 8
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    • Dutot, P.F.: Hierarchical scheduling for moldable tasks. In: Cunha, J.C., Medeiros, P.D. (eds.) Euro-Par 2005. LNCS, 3648, pp. 302-311. Springer, Heidelberg (2005)
    • Dutot, P.F.: Hierarchical scheduling for moldable tasks. In: Cunha, J.C., Medeiros, P.D. (eds.) Euro-Par 2005. LNCS, vol. 3648, pp. 302-311. Springer, Heidelberg (2005)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.