Paper Info
Title
Parallelization of Selected Algorithms on Multi-core CPUs, a Cluster and in a Hybrid CPU+Xeon Phi Environment.
Abstract
In the paper we present parallel implementations as well as execution times and speed-ups of three different algorithms run in various environments such as on a workstation with multi-core CPUs and a cluster. The parallel codes, implementing the master-slave model in C+MPI, differ in computation to communication ratios. The considered problems include: a genetic algorithm with various ratios of master processing time to communication and fitness evaluation times, matrix multiplication and numerical integration. We present how the codes scale in the aforementioned systems. For the numerical integration code that scales very well we also show performance in a hybrid CPU+Xeon Phi environment.
Year
DOI
Venue
2017
10.1007/978-3-319-67220-5_27
INFORMATION SYSTEMS ARCHITECTURE AND TECHNOLOGY, PT I
Keywords
Field
DocType
Parallel programming,Multi-core CPU,Cluster,Intel Xeon Phi,Parallelization
Xeon Phi,Computer science,Parallel computing,Workstation,Algorithm,Hyper-threading,Matrix multiplication,Multi-core processor,CPU shielding,Genetic algorithm,Computation
Conference
Volume
ISSN
Citations 
655
2194-5357
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Adam Krzywaniak101.01
Pawel Czarnul212121.11