Both models utilize a two-constraint formulation, where the first constraint encodes the computational loads and the second constraint encodes the data loads.
Abstract. Several successful partitioning models and methods have been proposed and used for computational load balancing of irregularly sparse applications ...
Dec 1, 2022 · Abstract. Several successful partitioning models and methods have been proposed and used. 5 for computational load balancing of irregularly ...
Jan 1, 2022 · Both models utilize a two-constraint formulation, where the first constraint encodes the computational loads and the second constraint encodes ...
Simultaneous Computational and Data Load Balancing in Distributed-Memory Setting · Çeliktuğ, Mestan Firat; · Karsavuran, M Ozan; · Acer, Seher; · Aykanat, Cevdet ...
Abstract ; Publication: SIAM Journal on Scientific Computing ; Pub Date: December 2022 ; DOI: 10.1137/22M1485772 ; Bibcode: 2022SJSC...44C.399C.
Load balancing data parallel programs on distributed memory ...
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In this paper a set of programming constructs for the implementation of data parallel algorithms on distributed memory parallel computers is proposed.
Missing: Simultaneous | Show results with:Simultaneous
This scheme defines a variety of degree of load balancing, maps each degree to each data management configuration, and reduces data traffic among distributed ...
Missing: Simultaneous Memory Setting.
Load-Sharing Approach in Distributed System - GeeksforGeeks
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Mar 4, 2022 · In load sharing systems, all nodes share the overall workload, and the failure of some nodes increases the pressure of the rest of the nodes.
This paper restricts attention to distributed memory multiprocessor net- works. Data are shared through explicit message passing. One can think of hypercube ...