Download Algorithms and Architectures for Parallel Processing: 13th by Peter Benner, Pablo Ezzatti, Enrique Quintana-Ortí, Alfredo PDF

By Peter Benner, Pablo Ezzatti, Enrique Quintana-Ortí, Alfredo Remón (auth.), Rocco Aversa, Joanna Kołodziej, Jun Zhang, Flora Amato, Giancarlo Fortino (eds.)

This quantity set LNCS 8285 and 8286 constitutes the court cases of the thirteenth overseas convention on Algorithms and Architectures for Parallel Processing , ICA3PP 2013, held in Vietri sul Mare, Italy in December 2013. the 1st quantity comprises 10 exotic and 31 average papers chosen from ninety submissions and overlaying themes corresponding to titanic info, multi-core programming and software program instruments, disbursed scheduling and cargo balancing, high-performance medical computing, parallel algorithms, parallel architectures, scalable and dispensed databases, dependability in allotted and parallel platforms, instant and cellular computing. the second one quantity contains 4 sections together with 35 papers from one symposium and 3 workshops held at the side of ICA3PP 2013 major convention. those are thirteen papers from the 2013 foreign Symposium on Advances of allotted and Parallel Computing (ADPC 2013), five papers of the overseas Workshop on huge facts Computing (BDC 2013), 10 papers of the overseas Workshop on relied on info in tremendous info (TIBiDa 2013) in addition to 7 papers belonging to Workshop on Cloud-assisted clever Cyber-Physical platforms (C-Smart CPS 2013).

Show description

Read or Download Algorithms and Architectures for Parallel Processing: 13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part II PDF

Similar algorithms books

Regression Analysis with Python

Key Features
Become efficient at imposing regression research in Python
Solve a few of the advanced information technology difficulties relating to predicting outcomes
Get to grips with quite a few kinds of regression for potent information analysis
Book Description
Regression is the method of studying relationships among inputs and non-stop outputs from instance information, which allows predictions for novel inputs. there are numerous types of regression algorithms, and the purpose of this ebook is to give an explanation for that is the fitting one to take advantage of for every set of difficulties and the way to arrange real-world information for it. With this publication you'll learn how to outline an easy regression challenge and overview its functionality. The booklet can assist you know how to correctly parse a dataset, fresh it, and create an output matrix optimally outfitted for regression. you are going to commence with an easy regression set of rules to unravel a few information technological know-how difficulties after which development to extra complicated algorithms. The booklet will show you how to use regression versions to foretell results and take severe enterprise judgements. during the e-book, you are going to achieve wisdom to exploit Python for construction speedy higher linear versions and to use the consequences in Python or in any desktop language you prefer.

What you'll learn
Format a dataset for regression and overview its performance
Apply a number of linear regression to real-world problems
Learn to categorise education points
Create an commentary matrix, utilizing diversified recommendations of information research and cleaning
Apply numerous thoughts to diminish (and ultimately repair) any overfitting problem
Learn to scale linear types to an immense dataset and care for incremental data
About the Author
Luca Massaron is an information scientist and a advertising study director who's really expert in multivariate statistical research, computing device studying, and buyer perception with over a decade of expertise in fixing real-world difficulties and in producing worth for stakeholders by means of utilizing reasoning, statistics, info mining, and algorithms. From being a pioneer of net viewers research in Italy to attaining the rank of a best ten Kaggler, he has continually been very obsessed with every thing relating to facts and its research and likewise approximately demonstrating the opportunity of datadriven wisdom discovery to either specialists and non-experts. Favoring simplicity over pointless sophistication, he believes lot should be completed in information technological know-how simply by doing the essentials.

Alberto Boschetti is an information scientist, with an services in sign processing and statistics. He holds a Ph. D. in telecommunication engineering and at present lives and works in London. In his paintings initiatives, he faces day-by-day demanding situations that span from typical language processing (NLP) and computing device studying to dispensed processing. he's very keen about his task and continually attempts to stick up to date concerning the most up-to-date advancements in info technology applied sciences, attending meet-ups, meetings, and different events.

Table of Contents
Regression – The Workhorse of knowledge Science
Approaching easy Linear Regression
Multiple Regression in Action
Logistic Regression
Data Preparation
Achieving Generalization
Online and Batch Learning
Advanced Regression Methods
Real-world purposes for Regression types

Algorithms and Architectures for Parallel Processing: 10th International Conference, ICA3PP 2010, Busan, Korea, May 21-23, 2010. Proceedings. Part I

It's our nice excitement to welcome you to the lawsuits of the tenth annual occasion of the overseas convention on Algorithms and Architectures for Parallel Processing (ICA3PP). ICA3PP is famous because the major general occasion protecting the various dimensions of parallel algorithms and architectures, encompassing basic theoretical - proaches, useful experimental tasks, and advertisement elements and platforms.

Parallel Architectures and Parallel Algorithms for Integrated Vision Systems

Machine imaginative and prescient is likely one of the most intricate and computationally extensive challenge. like several different computationally in depth difficulties, parallel seasoned­ cessing has been prompt as an method of fixing the issues in com­ puter imaginative and prescient. computing device imaginative and prescient employs algorithms from quite a lot of components equivalent to photo and sign processing, complex arithmetic, graph concept, databases and synthetic intelligence.

Extra info for Algorithms and Architectures for Parallel Processing: 13th International Conference, ICA3PP 2013, Vietri sul Mare, Italy, December 18-20, 2013, Proceedings, Part II

Example text

Djebbar and G. Belalem Clustering the Dependency Matrix In scientific workflows, many instances will be executed simultaneously. Some tasks use a large amount of data and produce, and several other output data. In order to perform a task, all required data must be located in the same datacenter and this may require some data movement (also called datasets). In addition, if two datasets are always used together with many tasks, they must be stored together in order to reduce the frequency of data movement.

289–296 (2010) 4. : Hierarchical cubic networks. IEEE Trans. Par. Dis. Sys. 6, 427–435 (1995) 5. : Node-to-set disjoint-path routing in hierarchical cubic networks. Comp. J. 55, 1440–1446 (2012) 6. : Set-to-set disjoint paths routing in hierarchical cubic networks. Comp. J. (to appear) 7. : The hierarchical hypercube: a new interconnection topology for massively parallel systems. IEEE Trans. Par. Dis. Sys. 5, 17–30 (1994) 8. : Optimal cube-connected cube multicomputers. J. Microcomp. Applications 17, 135–146 (1994) 9.

K − 1, in−1 , . . , i1 , i0 ], −n) ❀ ([k − 1, in−1 , . . , i1 , i0 ], +n) → ([0, in−1 , . . , i1 , i0 ], −n) = y ❀ ([0, in−1 , . . , i1 , i0 ], +n) = x. So, 20 A. Bossard and K. Kaneko for each of the k n clusters, we have appended to C a Hamiltonian path covering the dimension n + 1, and thus C is a Hamiltonian cycle for TCC(n + 1, k). 5 Conclusions We have proposed in this paper a new topology for interconnection networks of massively parallel systems: torus-connected cycles. This topology aims at mitigating the problems faced by many network topologies proposed in the literature that hamper the actual hardware implementation of these networks.

Download PDF sample

Rated 4.91 of 5 – based on 42 votes