parallel image processing algorithms
distributed image processing algorithms ....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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Abstract
Use of computers and networks in information exchange has increased in the last few decades and led to establishment of high speed networks (up to 10 Gbps). These network speeds are approaching the memory interface speeds of general purpose processors. Monitoring networks with such high speed is not possible with today’s general purpose processors. To solve this problem we propose a distributed parallel architecture for PickPacket, a network monitoring tool. We use network processor to split the traffic and then process t ....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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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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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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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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QUIVER: CONSISTENT OBJECT SHARING FOR EDGE SERVICES-PARALLEL AND DISTRIBUTED SYSTEMS

Abstract: We present Quiver, a system that coordinates service proxies placed at the edge of the Internet to serve distributed clients accessing a service involving mutable objects. Quiver enables these proxies to perform consistent accesses to shared objects by migrating the objects to proxies performing operations on those objects. These migrations dramatically improve performance when operations involving an object exhibit geographic locality, since migr ....etc

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Windows-NT based Distributed Virtual Parallel Machine



content

Using non-dedicated cluster of PCs (+ SMPs)
Multi-threaded
Shared memory
User-mode
Strong support for weak memory
Dynamic page- and job-migration
Load sharing for maximal locality of reference
Convergence to optimal level of parallelism

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regarding my project i want material for the title, Balancing the Trade-offs between query delay and data availability in MANETs ....etc

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