Introduction to Parallel Computing

By Vipin Kumar. 2004

1,167 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/551f848dc5e9a8345f5df79800c9e209b656992d

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In Computer Networks and Communications

In Hardware and Architecture

Citations in the corpus

In Silico Modeling of Magnetic Resonance Flow Imaging in Complex Vascular Networks (2014, methodology): “The first parallel algorithm [42] is based on the master–slave model [43] and uses the message passing paradigm [44].”
Book Reviews: Data-Intensive Text Processing with MapReduce by Jimmy Lin and Chris Dyer (2010, background): “Finally, it is easy to forget that parallel graph algorithms have been studied by computer scientists for several decades, particular in the PRAM model [77, 60].”
Performance analysis of MPI collective operations (2005, methodology): “in [9] use Hockney model to perform cost analysis of different collective algorithms on various network topologies (such as torus, hypercube, etc).”
Deep Learning Recommendation Model for Personalization and Recommendation Systems (2019, methodology): “Since model parallelism has been used to distribute the embeddings across devices, this requires a personalized all-to-all communication [12].”
Scalable parallel numerical constraint solver using global load balancing (2015, methodology): “er process, which may limit scalability [23, 2]. A substantial amount of work exists regarding the parallelization of the branch and bound algorithm with both search-space splitting and work stealing [11, 15, 18]. Although the branch and bound algorithm resembles the solving process of NCSPs, existi”
Parallel Spectral Clustering in Distributed Systems (2011, background): “Asdefinedin[ 16 ],[27], a parallel system is scalable if the speedup can be kept constant as the number of machines and the data sizes are both increased.”