The future or graphical communication education in the new South Africa.
Pretorius, Johann (1999)
Journal for Geometry and Graphics
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Pretorius, Johann (1999)
Journal for Geometry and Graphics
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(2020)
Kybernetika
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Fukuda, Emiko, Matsuhisa, Takashi, Sasanuma, Hisato (2004)
Journal of Applied Mathematics and Decision Sciences
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Frederic Guinand, Denis Trystman (2010)
RAIRO - Operations Research
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In this paper, we present a new linear time algorithm for scheduling UECT (Unit Execution and Communication Time) trees on two identical processors. The chosen criterion is the makespan. The used strategy is based on clustering of tasks. We show that this algorithm builds optimal schedules. Some extensions are discussed for non UECT tasks.
Walter William Rouse Ball
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Mieczysław Kula, Małgorzata Serwecińska (2015)
Annales Mathematicae Silesianae
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The paper is devoted to the communication complexity of lattice operations in linearly ordered finite sets. All well known techniques ([4, Chapter 1]) to determine the communication complexity of the infimum function in linear lattices disappoint, because a gap between the lower and upper bound is equal to O(log2 n), where n is the cardinality of the lattice. Therefore our aim will be to investigate the communication complexity of the function more carefully. We consider a family of...
Aziz Moukrim, Eric Sanlaville, Frédéric Guinand (2003)
RAIRO - Operations Research - Recherche Opérationnelle
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This paper is concerned with scheduling when the data are not fully known before the execution. In that case computing a complete schedule off-line with estimated data may lead to poor performances. Some flexibility must be added to the scheduling process. We propose to start from a partial schedule and to postpone the complete scheduling until execution, thus introducing what we call a stabilization scheme. This is applied to the m machine problem with communication delays: in our model...
Ziqin Chen, Shu Liang (2022)
Kybernetika
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In this paper, we focus on an aggregative optimization problem under the communication bottleneck. The aggregative optimization is to minimize the sum of local cost functions. Each cost function depends on not only local state variables but also the sum of functions of global state variables. The goal is to solve the aggregative optimization problem through distributed computation and local efficient communication over a network of agents without a central coordinator. Using the variable...
Norbert Popély (2003)
RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications
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We describe the communicating alternating machines and their simulation. We show that, in the case of communicating alternating machines which are bounded, simultaneously, by polynomial time and logarithmic space, the use of three communication levels instead of two does not increase computational power of communicating alternating machines. This resolves an open problem [2] concerning the exact position of machines with three communication levels in the hierarchy.