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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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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Two-dimensional filters are usually part of the implementation of digital image processing applications. These filters process recursive sets of instructions and require high computational speed. Optimized implementations of these filters depend on the use of Application Specific Integrated Circuits (ASICs). A system with multiple parallel processing units is a feasible design option able to achieve the required computational performance. In this paper, a loop transformation algorithm, which allows the efficient utilization of a parallel multip ....etc

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Presented by
M.V.SUBBA LAKSHMI
B.MOUNIKA


A VLSI DESIGN CONCEPT FOR PARALLEL ITERATIVE ALGORITHMS
Abstract:
Modern VLSI manufacturing technology has kept shrinking down to the nanoscale level with a very fast trend.
Integration with the advanced nano-technology now makes it possible to realize advanced parallel iterative algorithms directly which was almost impossible 10 years ago. In this paper,
we want to discuss the influences of evolvin ....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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Mesh Algorithms in Parallel Processing

¢ Parallel processing is processing a task with several processing units, or many processors

¢ Most powerful computers contain two or more processing units that share among themselves the jobs submitted for processing

¢ Several operations are performed simultaneously, so the time taken by a computation can be reduced.

¢ A problem to be solved is broken into a no.of subproblems. These subproblems are now solved simultaneously, each on different processors. The results are then combi ....etc

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Parallel algorithms for graph theory problems


Sparse and dense graphs
A graph G(V,E) is sparse if |E| is match smaller than O(|V|2)
Matrix representation is suitable for dense graphs and list representation
for sparse
Spanning Tree
A spanning tree of a graph G is a tree that contains all vertices of G
A minimum spanning tree (MST) for a weighted graph is a spanning tree with
minimum weight
Prim’s algorithm
Starts from an arbitrary vertex u
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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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Two-dimensional filters are usually part of the implementation of digital image processing applications. These filters process recursive sets of instructions and require high computational speed. Optimized implementations of these filters depend on the use of Application Specific Integrated Circuits (ASICs). A system with multiple parallel processing units is a feasible design option able to achieve the required computational performance. In this paper, a loop transformation algorithm, which allows the efficient utilization of a parallel multip ....etc

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