Suchergebnisse - Static randomized parallel load balancing algorithms
-
1
Revisiting randomized parallel load balancing algorithms
ISSN: 0304-3975, 1879-2294Veröffentlicht: Elsevier B.V 27.07.2012Veröffentlicht in Theoretical computer science (27.07.2012)“… We focus on randomized, constant-round, distributed, asynchronous algorithms for this problem …”
Volltext
Journal Article -
2
Parallel randomized load balancing: A lower bound for a more general model
ISSN: 0304-3975, 1879-2294Veröffentlicht: Oxford Elsevier B.V 13.05.2011Veröffentlicht in Theoretical computer science (13.05.2011)“… We extend the lower bound of Adler et al. (1998) [1] and Berenbrink et al. (1999) [2] for parallel randomized load balancing algorithms …”
Volltext
Journal Article -
3
2D Static Resource Allocation for Compressed Linear Algebra and Communication Constraints
ISSN: 2640-0316Veröffentlicht: IEEE 01.12.2020Veröffentlicht in Proceedings - International Conference on High Performance Computing (01.12.2020)“… This paper adresses static resource allocation problems for irregular distributed parallel applications …”
Volltext
Tagungsbericht -
4
Distributed Stream Rebalance for Stateful Operator Under Workload Variance
ISSN: 1045-9219, 1558-2183Veröffentlicht: New York IEEE 01.10.2018Veröffentlicht in IEEE transactions on parallel and distributed systems (01.10.2018)“… While randomized hashing on the keys is capable of balancing the workload for key-based partitioning when the keys generally follow a static distribution, it is likely to generate poor balancing …”
Volltext
Journal Article -
5
Distributed quasi-Monte Carlo methods in a heterogeneous environment
ISBN: 0769505562, 9780769505565ISSN: 1097-5209Veröffentlicht: IEEE 2000Veröffentlicht in Proceedings 9th Heterogeneous Computing Workshop (HCW 2000) (Cat. No.PR00556) (2000)“… The algorithm focuses on the asynchronous computation of randomized lattice (Korobov) rules. Whereas the individual rules disallow realistic error estimates, randomization provides a tool for giving confidence intervals for the magnitude of the error …”
Volltext
Tagungsbericht

