NETRA - a Parallel Architecture for Integrated Vision Systems I: Architecture and Organization PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download NETRA - a Parallel Architecture for Integrated Vision Systems I: Architecture and Organization PDF full book. Access full book title NETRA - a Parallel Architecture for Integrated Vision Systems I: Architecture and Organization by University of Illinois at Urbana-Champaign. Coordinated Science Laboratory. Computer Systems Group. Download full books in PDF and EPUB format.
Author: University of Illinois at Urbana-Champaign. Coordinated Science Laboratory. Computer Systems Group
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: University of Illinois at Urbana-Champaign. Coordinated Science Laboratory. Computer Systems Group
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722409234
Category :
Languages : en
Pages : 44
Get Book Here
Book Description
Computer vision is regarded as one of the most complex and computationally intensive problems. An integrated vision system (IVS) is considered to be a system that uses vision algorithms from all levels of processing for a high level application (such as object recognition). A model of computation is presented for parallel processing for an IVS. Using the model, desired features and capabilities of a parallel architecture suitable for IVSs are derived. Then a multiprocessor architecture (called NETRA) is presented. This architecture is highly flexible without the use of complex interconnection schemes. The topology of NETRA is recursively defined and hence is easily scalable from small to large systems. Homogeneity of NETRA permits fault tolerance and graceful degradation under faults. It is a recursively defined tree-type hierarchical architecture where each of the leaf nodes consists of a cluster of processors connected with a programmable crossbar with selective broadcast capability to provide for desired flexibility. A qualitative evaluation of NETRA is presented. Then general schemes are described to map parallel algorithms onto NETRA. Algorithms are classified according to their communication requirements for parallel processing. An extensive analysis of inter-cluster communication strategies in NETRA is presented, and parameters affecting performance of parallel algorithms when mapped on NETRA are discussed. Finally, a methodology to evaluate performance of algorithms on NETRA is described. Choudhary, Alok N. and Patel, Janak H. and Ahuja, Narendra Unspecified Center NAG1-613...
Author: University of Illinois at Urbana-Champaign. Coordinated Science Laboratory. Computer Systems Group
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Alok Nidhi Choudhary
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 350
Get Book Here
Book Description
"Computer vision has been regarded as one of the most complex and computationally intensive problems. An integrated vision system (lVS) is a system that uses vision algorithms from all levels of processing to perform for a high level application (e.g. object recognition). An IVS normally involves algorithms from low level, intermediate level and high level vision. Designing parallel architectures for vision systems has been of a tremendous interest to researchers. This thesis addresses several issues in parallel architectures and parallel algorithms for integrated vision systems. First, a model of computation for IVSs is presented. The model captures computational requirements, defines spatial and temporal data dependencies between tasks, and shows what types of interactions may occur between tasks from different levels of processing. The model is used to develop features and capabilities of a parallel architecture suitable for IVSs. It is concluded that an architecture for IVS must be reconfigurable into different modes, be partitionable, allow dynamic resource allocation and task scheduling, provide flexible and fast communication between processing elements, provide efficient I/O and be fault-tolerant. A multiprocessor architecture for IVSs (called NETRA) is presented. NETRA is highly flexible without the use of complex interconnection schemes. NETRA is recursively defined hierarchical architecture whose leaf nodes consist of clusters processors connected with a programmable crossbar with a selective broadcast capability. Hence, it is easily scalable from small to large systems. Homogeneity of NETRA permits fault tolerance and graceful degradation under faults. Several refinements in the architecture over the original design are also proposed."--Page i.
Author: Alok N. Choudary
Publisher: Springer Science & Business Media
ISBN: 1461315395
Category : Computers
Languages : en
Pages : 170
Get Book Here
Book Description
Computer vision is one of the most complex and computationally intensive problem. Like any other computationally intensive problems, parallel pro cessing has been suggested as an approach to solving the problems in com puter vision. Computer vision employs algorithms from a wide range of areas such as image and signal processing, advanced mathematics, graph theory, databases and artificial intelligence. Hence, not only are the comput ing requirements for solving vision problems tremendous but they also demand computers that are efficient to solve problems exhibiting vastly dif ferent characteristics. With recent advances in VLSI design technology, Single Instruction Multiple Data (SIMD) massively parallel computers have been proposed and built. However, such architectures have been shown to be useful for solving a very limited subset of the problems in vision. Specifically, algorithms from low level vision that involve computations closely mimicking the architec ture and require simple control and computations are suitable for massively parallel SIMD computers. An Integrated Vision System (IVS) involves com putations from low to high level vision to be executed in a systematic fashion and repeatedly. The interaction between computations and information dependent nature of the computations suggests that architectural require ments for computer vision systems can not be satisfied by massively parallel SIMD computers.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 256
Get Book Here
Book Description
Author: Leonard Uhr
Publisher: Elsevier
ISBN: 0323156207
Category : Technology & Engineering
Languages : en
Pages : 319
Get Book Here
Book Description
Parallel Computer Vision
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1200
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Government publications
Languages : en
Pages : 1644
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 1096
Get Book Here
Book Description
