parallel distributed computing algorithms
Distributed C Means Algorithm for Big Data Image Segmentation on a Massively Parallel and Distributed Virtual Machine Based on Cooperative Mobile Agents
... a distributed c-means ...agents’ parallel and distributed virtual ...the parallel computing challenges where some of them are presented in [8] with a critical ...scalable ...
11
Optimization Algorithms for Machine Learning Designed for Parallel and Distributed Environments
... first-order information within the Alternating Linearization Method (ALM) with O(n 3 ) iteration complexity by using the spectral decomposition of the current in- cumbent solution. An algorithm which uses second-order ...
174
A Web Computing Environment for Parallel Algorithms in Java
... web computing library (PUBWCL) in Java that allows to execute tightly coupled, massively parallel algorithms in the bulk-synchronous (BSP) style on PCs distributed over the internet whose ...
14
Distributed Memory Parallel Algorithms for Minimum Spanning Trees
... I MPLEMENTATIONS of algorithms were tested on a cluster of up to 32 computing nodes. Each computer in the cluster had two Intel Xeon E5345 2.33 GHz quad-core CPUs and 8 GB of memory, with Scientific Linux 6 ...
5
Grid Computing: An Introduction
... grid computing certain issues are still holding back grid computing from becoming widespread in its ...Grid computing has been utilized by most of the scientific domains like astronomy, biological ...
7
International Journal of Computer Science and Mobile Computing
... backfilling algorithms in Distributed-Memory Parallel System have been found to improve system utilization and job response time by allowing smaller jobs from back of the waiting queue to execute ...
7
Data Structures and Mesh Processing in Parallel CFD Project GIMM
... with distributed memory. Design of new parallel algorithms and proper programming is considered as having paramount importance in effective exploitation of parallel ...of algorithms for ...
9
Improving Power and Performance Efficiency in Parallel and Distributed Computing Systems
... Recently, Nathuji and Schwan [57] proposed a framework to determine the power-performance tradeoffs of virtual machines and to efficiently manage physical machines within given power bud- gets. This work focuses on ...
125
Types of Scheduling Algorithms in Parallel Computing
... Let a distributed dataset which has 4 sites and data is evenly distributed on all sites. The different sites will run their piece of code on their own set of data and try to figure out the relationship ...
6
Parallel Performance of Domain Decomposition Method on Distributed Computing Environment
... time. Parallel computing can meet requirements of high performance computation ...various parallel computing algorithms, Domain Decomposition Method (DDM) has become much popularity in ...
7
Parallel Computing of Particle Filtering Algorithms for Target Tracking Applications
... in parallel without any com- munication among the ...in parallel and distributed implementations, resampling becomes a bottleneck due to its sequential nature and it imposes an increased complexity ...
115
Unified Analytical Models of Parallel and Distributed Computing
... of parallel computers with another more precise analytical ...massive parallel computers ...suggested parallel computers and parallel algorithms (effective PA) ...way parallel ...
12
Decomposition Models of Parallel Algorithms
... chosen parallel algorithms (numerical integration, matrix multiplication) we have been demonstrated great influence of selection of decomposition model to their potential ...dominant parallel ...
15
130 / Graduate Catalog Chapter 2. Admission. The evaluation of applicants for admission is based
... in Parallel & Distributed ...of parallel and distributed computing; review of hardware and software considerations for parallel computation; development and analysis of ...
6
Use of DAG in Distributed Parallel Computing
... A parallel program can be represented by a weighed Directed Acyclic Graph(DAG)[11], in which the vertex/node weights represent task processing time and the edge weights represent data dependencies as well as the ...
5
A New Approach to Solve N-Queen Problem with Parallel Genetic Algorithm
... scheduling algorithms were introduced in 2008 by Braun ...use parallel genetic algorithm to solve classic problems but none of them have not combined the two strategies ...
10
GTX.Digest.VCF: an online NGS data interpretation system based on intelligent gene ranking and large-scale text mining
... a parallel text mining approach is ap- plied on all MEDLINE abstracts and PMC open-access full-texts in advance to find the relationships between genes/mutations and diseases, the mined results are stored as a ...
10
Study of the Implementation of Cloud Computing: Applications and Challenges
... cloud computing in the traditional mainstream sense, whereby resources are dynamically provisioned on a fine- grained, self-service basis over the Internet, via web applications/web services, from an off-site ...
7
Improvement of Distributed Computing Performance with Fault Tolerant Algorithms
... Fault tolerance is the dynamic method that’s used to keep the interconnected systems together, sustain reliability, and availability in distributed systems. The hardware and software redundancy methods are the ...
6
Distributed Asynchronous Online Learning for Natural Language Processing
... is distributed via MapReduce have recently been described in machine learning and NLP (Chu et ...to distributed frameworks which maintain and update a single copy of the parameters ...
10