The computing power available to scientists and engineers has increased dramatically in the past decade, due in part to progress in making Massively Parallel Computing practical and available. The expectation for these machines has been great. The reality is that progress has been slower than expected. Nevertheless, massively parallel computing is beginning to realize its potential for enabling significant breakthroughs in science and engineering. This seminar discusses the concept of Massively Parallel Computing and its evolution. It provides ....etc

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Definition
We all know that the silicon based chips are reaching a physical limit in processing speed, as they are constrained by the speed of electricity, light and certain thermodynamic laws. A viable solution to overcome this limitation is to connect multiple processors working in coordination with each other to solve grand challenge problems. Hence, high performance computing requires the use of Massively Parallel Processing (MPP) systems containing thousands of power full CPUs.

Processing of multiple tasks simultaneously on multiple pr ....etc

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Abstract:
In todayâ„¢s era most of the application systems are in use in the area of Mobile Computing, Geographic Information Systems (GIS) and Geographical Positioning Systems (GPS). These are generally based on JAVA. Vector maps (e.g. road maps) are widely used in a variety of applications such as Geographic Information Systems (GIS), Intelligent Transportation Systems (ITS) and Mobile Computing. However, large size of vector maps is the one of the reasons which affects these systems. The problem of usage and application in these systems ....etc

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To develop grid infrastructure, enables extensive/accurate testing of student programming assignment without requiring specialized or expensive hardware, and provides the ability to run portability tests and field tests in distributed environments, a useful feature in courses on distributed programming. A grid infrastructure is to be created to automate the system of assignment submission. It supports the processing of two programming languages such as java and dot net. There are four modules available in the system
1. User
2. Main Server
3. ....etc

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please provide a ppt related to the subjectpersonalised mobile search engine ....etc

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DYNAMIC SEARCH ALGORITHM IN UNSTRUCTURED PEER-TO-PEER NETWORKS--PARALLEL AND DISTRIBUTED SYSTEMS

Designing efficient search algorithms is a key challenge in unstructured peer-to-peer networks. Flooding and random walk (RW) are two typical search algorithms. Flooding searches aggressively and covers the most nodes. However, it generates a large amount of query messages and, thus, does not scale. On the contrary, RW searches conservatively. It only generates a fixed amount of query messages at each hop but would take longer search time. We pr ....etc

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Abstract-
Nowadays search engines provide the easiest way to
reach information resources that are available on the Web.The
number of Internet users has been growing dramatically all
over the world. Nevertheless, as for those who can not use
computers and the Internet, mobile search engine plays a great
role in offering the service. In this case, it quickly attracts
people's attention because it is unique. Mobile search is
extension to the search engine in the mobile terminal and is
also an important development trend in the fut ....etc

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There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost. Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-probl ....etc

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There are a growing number of people who want to use remotely sensed data and GIS data. What is needed is a large-scale processing and storage system that provides high bandwidth at low cost.

Scalable computing clusters, ranging from a cluster of (homogeneous or heterogeneous) PCs or workstations, to SMPs, are rapidly becoming the standard platforms for high-performance and large-scale computing. To utilize the resources of a parallel computer, a problem had to be algorithmically expressed as comprising a set of concurrently executing sub-p ....etc

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