NDLI: Performance Evaluation of Different Kohenen Network Parallelization Techniques

Content Provider	IEEE Xplore Digital Library
Author	Kwiatkowski, J. Pawlik, M. Markowska-Kaczmar, U. Konieczny, D.
Copyright Year	2006
Description	Author affiliation: Inst. of Appl. Informatics, Wroclaw Univ. of Technol. (Kwiatkowski, J.; Pawlik, M.; Markowska-Kaczmar, U.; Konieczny, D.)
Abstract	The Kohonen feature maps are commonly employed to process large input data but their effective working abilities can be achieved only after a time-consuming process of learning. Performed tests have shown that the sequential program, solving a typical problem, uses more than 95 percent of its time to localize the winners. The aim of the paper is to present and compare different ways of the algorithm parallelization. We compare two different classes of parallel implementations - the network parallelization and the learning set parallelization. During performed experiments two different ways of experimental evaluation are used: standard evaluation based on such metrics as speedup and efficiency and the approximation method based on the granularity concept
Sponsorship	IEEE CSP
Starting Page	331
Ending Page	336
File Size	126736
Page Count	6
File Format	PDF
ISBN	0769525547
DOI	10.1109/PARELEC.2006.66
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-13
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Parallel processing Parallel algorithms Sequential analysis Approximation methods Computer networks Concurrent computing Hardware Power engineering computing Informatics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Fine-Grain Parallelization of Recurrent Neural Networks Training

Parallel batch pattern BP training algorithm of recurrent neural network

Implementation and performance evaluation of the parallel relational database server SDC-II

A simulation study of dynamic load balancing for network-based parallel processing

Total airport and airspace model (TAAM) parallelization combining sequential and parallel algorithms for performance enhancement

Performance analysis of parallel FDTD algorithm on different hardware platforms

Flexible Algorithms: Overview of a Beginners' Course

Scalable parallel implementation of exact inference in Bayesian networks

Parallel Computing for Finite Element Structural Modal Analysis on Workstation Cluster

Performance Evaluation of Different Kohenen Network Parallelization Techniques

Similar Documents

Fine-Grain Parallelization of Recurrent Neural Networks Training

Parallel batch pattern BP training algorithm of recurrent neural network

Implementation and performance evaluation of the parallel relational database server SDC-II

A simulation study of dynamic load balancing for network-based parallel processing

Total airport and airspace model (TAAM) parallelization combining sequential and parallel algorithms for performance enhancement

Performance analysis of parallel FDTD algorithm on different hardware platforms

Flexible Algorithms: Overview of a Beginners' Course

Scalable parallel implementation of exact inference in Bayesian networks

Parallel Computing for Finite Element Structural Modal Analysis on Workstation Cluster

Performance Evaluation of Different Kohenen Network Parallelization Techniques