PPT-Lower Bounds on the Communication of Distributed Graph Algo

Author : ellena-manuel | Published Date : 2016-03-07

Progress and Obstacles Rotem Oshman ADGA 2013 Overview Network Models CONGESTED CLIQUE ASYNC MESSAGEPASSING LOCAL CONGEST general network X Talk Overview Lower

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Lower Bounds on the Communication of Distributed Graph Algo: Transcript

Progress and Obstacles Rotem Oshman ADGA 2013 Overview Network Models CONGESTED CLIQUE ASYNC MESSAGEPASSING LOCAL CONGEST general network X Talk Overview Lower bound techniques CONGEST general networks reductions from 2party communication complexity. Our result is modular 1 We describe a carefullychosen dynamic version of set disjointness the multiphase problem and conjecture that it requires 84861 time per operation All our lower bounds follow by easy reduction 2 We reduce 3SUM to the multipha [Algo] MCPE CMU . Member Group Present. 1.. SUTTICHAI. MESAARD. 530632035. 2. SURIYA KONCHAIYAPHOM. 530632038. 3. NATTHAWOOT PUNROOB. 530632023. 4. WIWAT. TAWEESUP. 530632103. [Algorithm] MCPE of CMU . Shubhangi. . Saraf. Rutgers University. Based on joint works with . Albert Ai, . Zeev. . Dvir. , . Avi. . Wigderson. Sylvester-. Gallai. Theorem (1893). v. v. v. v. Suppose that every line through . unseen problems. David . Corne. , Alan Reynolds. My wonderful new algorithm, . Bee-inspired Orthogonal Local Linear Optimal . Covariance . K. inetics . Solver. Beats CMA-ES on 7 out of 10 test problems !!. approximate membership. dynamic data structures. Shachar. Lovett. IAS. Ely . Porat. Bar-. Ilan. University. Synergies in lower bounds, June 2011. Information theoretic lower bounds. Information theory. relaxations. via statistical query complexity. Based on:. V. F.. , Will Perkins, Santosh . Vempala. . . On the Complexity of Random Satisfiability Problems with Planted . Solutions.. STOC 2015. V. F.. A combinatorial approach to P . vs. NP. Shachar. Lovett. Computation. Input. Memory. Program . Code. Program code is . constant. Input has . variable length (n). Run time, memory – grow with input length. Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. Xiaoming. Sun and David P. Woodruff. Chinese Academy of Sciences and IBM Research-. Almaden. Streaming Models. Long sequence of items appear one-by-one. numbers, points, edges, …. (usually) . adversarially. AL BIEN HACER JAMÁS LE FALTA PREMIO.. Esta frase se refiere a que cuando uno hace algo bueno, de una o otra manera van a ser recompensados. . ENCOMIÉNDATE A DIOS DE TODO CORAZÓN, QUE MUCHAS VECES SUELE LLOVER SUS MISERICORDIAS EN EL TIEMPO QUE ESTÁN MÁS SECAS LAS ESPERANZAS.. Ryan Williams . IBM . Almaden. TexPoint. fonts used in EMF. . Read the . TexPoint. manual before you delete this box.: . A. A. A. A. A. A. A. A. A. A. MOD6. MOD6. The Circuit Class . ACC. . An ACC circuit family . vs. NP. Shachar. Lovett. Computation. Input. Memory. Program . Code. Program code is . constant. Input has . variable length (n). Run time, memory – grow with input length. . Efficient algorithms = run time, memory . dynamic data structures. Shachar. Lovett. IAS. Ely . Porat. Bar-. Ilan. University. Synergies in lower bounds, June 2011. Information theoretic lower bounds. Information theory. is a powerful tool to prove lower bounds, e.g. in data structures. Dagstuhl Workshop. March/. 2023. Igor Carboni Oliveira. University of Warwick. 1. Join work with . Jiatu. Li (Tsinghua). 2. Context. Goals of . Complexity Theory. include . separating complexity classes.

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