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The Parallel Task with Vertical Partitioning (DATA-VP) Algorithm125

Static task partitioning techniques for parallel applications on heterogeneous processors

Static task partitioning techniques for parallel applications on heterogeneous processors

... Chapter 1. Introduction 22 O ver the past few decades, there has been a growing demand for compu- tational resources. With this ever increasing need, the community has addressed the issue in one of the following two ...

195

A Data-Parallel Implementation of the Geometric Partitioning Algorithm

A Data-Parallel Implementation of the Geometric Partitioning Algorithm

... geometric partitioning (GEO) algorithm is incorpo- rated into a data{parallel adaptive O ( N ) N{body code (also in HPF) ...the partitioning results of GEO and various other ...

10

Vertical Partitioning for Query Processing over Raw Data

Vertical Partitioning for Query Processing over Raw Data

... raw data processing with partial loading that has as a starting point a greedy solution for the k-element cover ...from vertical partitioning—a connection we establish in the ...raw data, ...

12

Classification of Task Partitioning and Load Balancing Strategies in Distributed Parallel Computing Systems

Classification of Task Partitioning and Load Balancing Strategies in Distributed Parallel Computing Systems

... the parallel computing ...job. Parallel computing is used to solve the large problems in the scientific and systematic ...Effective task partitioning and load balancing strategies of large ...

6

Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

Data Partitioning and Parallel Frequent Itemset Mining using Hadoop Environment

... Abstract: Data mining is the retrieval of hidden analytical information from huge databases, is a controlling new technology with great possible to help organizations as well as research focus on the mainly ...

6

Using Statistical Analysis to Improve Data Partitioning in Algorithms for Data Parallel Processing Implementation

Using Statistical Analysis to Improve Data Partitioning in Algorithms for Data Parallel Processing Implementation

... of data to identify abnormal patterns or activities in network security applications is ...distributed data parallelism, the writers implemented two simple hash ...the task into 960 partitions, some ...

79

Graph partitioning for the reduction of data transfer in task-based programming models

Graph partitioning for the reduction of data transfer in task-based programming models

... enough parallel tasks to achieve good performance on 16 ...more data has been ...wrong task placement decisions in the first case and the large overhead of the multiple graph partitions performed by ...

60

Task based Parallel Computation of the Density Matrix in Quantum based Molecular Dynamics using Graph Partitioning

Task based Parallel Computation of the Density Matrix in Quantum based Molecular Dynamics using Graph Partitioning

... smaller data-parallel subproblems that can be scheduled using a bulk synchronous parallel implementation, for instance, by using MPI (message passing interface) and OpenMP ...asynchronous ...

15

MPI-Vector-IO: Parallel I/O and Partitioning for Geospatial Vector Data

MPI-Vector-IO: Parallel I/O and Partitioning for Geospatial Vector Data

... the data and ...file partitioning, each process reads the local geometries and projects them to a local grid as shown in Figure ...global partitioning of the overall data in order to ensure ...

21

Comparison of Data Partitioning Schema of Parallel Pairwise Alignment on Shared Memory System

Comparison of Data Partitioning Schema of Parallel Pairwise Alignment on Shared Memory System

... various data partitioning schema, but it is unknown which one is the ...The data partitioning schema is important for parallel PA performance, because this algorithm uses dynamic ...

9

Vertical Partitioning for flash and HDD database systems

Vertical Partitioning for flash and HDD database systems

... Programming Partitioning In this section we describe how our partitioning problem can be solved using dynamic ...this partitioning problem, that is, a table with the optimal benefit which can be ...

26

Parallel and External High Quality Graph Partitioning

Parallel and External High Quality Graph Partitioning

... The running time of one sequential pass is O(k|V | + |E| log |V |), since moving a vertex requires O(k) time and searching for subgraphs requires O(|E| log |V |) time in total. Parallelization. To parallelize the ...

237

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

HAMS, PARALLEL AVERAGE PARTITIONING AND SORTING ALGORITHM

... large data, so many attempts are headed to make these algorithms working in parallel but the main obstacle is how to divide the given data into equal partitio ns to achieve resource utilization and ...

5

An Efficient Map Reduce Task Scheduling and Micro-Partitioning Mechanism for Optimizing Large Data A

An Efficient Map Reduce Task Scheduling and Micro-Partitioning Mechanism for Optimizing Large Data A

... Terms—Big Data, MapReduce, Task scheduling, Micro-partitioning, Deadline ...ig data is the term for a collection of data sets so large and complex that it becomes difficult to process ...

6

Slop based Partitioning for Vertical Fragmentation in Distributed Database System

Slop based Partitioning for Vertical Fragmentation in Distributed Database System

... Once the neighbour is found both the vertex are grouped together and put in a subset. V’s neighbour becomes the new V. The process continues to find neighbours of the most recent V recursively until a cycle is formed or ...

5

CiteSeerX — Parallel task routing for crowdsourcing

CiteSeerX — Parallel task routing for crowdsourcing

... single task may significantly improve output ...of task routing problems, proves that even the simplest is NP-hard, and develops several approx- imation algorithms for parallel routing ...our ...

11

Parallel-Task Scheduling on Multiple Resources

Parallel-Task Scheduling on Multiple Resources

... They assume a uniform distribution of workload between the processors. In contrast, in this paper we target systems with arbitrary workload distribution. More recently, the authors in [2] present a homogenous ...

12

Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation

Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation

... Site-Based Partitioning and Repartitioning Techniques for Parallel PageRank Computation Ali Cevahir, Cevdet Aykanat, Ata Turk, and ...in parallel with the growth of the web and are stored in a ...

17

Method Transformations for Vertical Partitioning in Parallel and Distributed Object Databases

Method Transformations for Vertical Partitioning in Parallel and Distributed Object Databases

... The main contributions of the paper include presentation of a unified view of the vertical partitioning problem, a taxonomy of the possible method types, transformations for all [r] ...

9

Classification of Task Partitioning and Load Balancing Strategies in Distributed Parallel Computing Systems

Classification of Task Partitioning and Load Balancing Strategies in Distributed Parallel Computing Systems

... existing task partitioning and load balancing ...of task partitioning and load balancing strategies have been proposed, each of which perform remarkable results under different ...of ...

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