Windows-NT based Distributed Virtual Parallel Machine



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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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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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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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parallel image processing algorithms
distributed image processing algorithms ....etc

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Abstract
This pnper describes n sqjhunre tool thnt hns heendeveloped jiw production o f speech signnlprocessing system, but iiiqy he ensi!y expnndetl toinclude any I -ilinrensionnl signnl pi.ocessiiigprobleni with multiple inputs nnd outputs. The toolnllows the user to tlejine nn nrhitrnry set ofinterconnected signal processing junctions that oreinterlinked h,v vectors of signnl dntn, this kind ofprohlenr is thus expressed iii nn inhereentfy MIMD$ornint. This user-defined structure is pnrsed togenernte o con$gumtion description that J~ ....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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I. INTRODUCTION
Parallel Processing refers to the concept of speeding-up the execution of a program by dividing the program into multiple fragments that can execute simultaneously, each on its own processor. A program being executed across n processors might execute n times faster than it would using a single processor.
Traditionally, multiple processors were provided within a specially designed parallel computer; along these lines, Linux now supports SMP systems (often sold as servers) in which multiple processors ....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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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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