Single-exception Sorting Networks and the Computational Complexity of Optimal Sorting Network Verification

Single-exception Sorting Networks and the Computational Complexity of Optimal Sorting Network Verification PDF Author: Pennsylvania State University. Dept. of Computer Science
Publisher:
ISBN:
Category : Sorting (Electronic computers)
Languages : en
Pages : 18

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Single-exception Sorting Networks and the Computational Complexity of Optimal Sorting Network Verification

Single-exception Sorting Networks and the Computational Complexity of Optimal Sorting Network Verification PDF Author: Pennsylvania State University. Dept. of Computer Science
Publisher:
ISBN:
Category : Sorting (Electronic computers)
Languages : en
Pages : 18

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Book Description


On the Computational Complexity of Optimal Sorting Network Verification

On the Computational Complexity of Optimal Sorting Network Verification PDF Author: Ian Parberry
Publisher:
ISBN:
Category : Computational complexity
Languages : en
Pages : 34

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Book Description
Abstract: "A sorting network is a combinational circuit for sorting, constructed from comparison-swap units. The depth of such a circuit is a measure of its running time. It is reasonable to hypothesize that only the fastest (that is, the shallowest) networks are likely to be fabricated. It is shown that the problem of verifying that a given sorting network actually sorts is Co-NP complete even for sorting networks of depth only 4[log n] + 0(1) greater than optimal. This is shallower than previous depth bounds by a factor of two."

Parle ’91 Parallel Architectures and Languages Europe

Parle ’91 Parallel Architectures and Languages Europe PDF Author: Emile H.L. Aarts
Publisher: Springer
ISBN: 3662252090
Category : Computers
Languages : en
Pages : 942

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Book Description
The innovative progress in the development oflarge-and small-scale parallel computing systems and their increasing availability have caused a sharp rise in interest in the scientific principles that underlie parallel computation and parallel programming. The biannual "Parallel Architectures and Languages Europe" (PARLE) conferences aim at presenting current research material on all aspects of the theory, design, and application of parallel computing systems and parallel processing. At the same time, the goal of the PARLE conferences is to provide a forum for researchers and practitioners to ex change ideas on recent developments and trends in the field of parallel com puting and parallel programming. The first ~wo conferences, PARLE '87 and PARLE '89, have succeeded in meeting this goal and made PARLE a conference that is recognized worldwide in the field of parallel computation. PARLE '91 again offers a wealth of high-quality research material for the benefit of the scientific community. Compared to its predecessors, the scope of PARLE '91 has been broadened so as to cover the area of parallel algo rithms and complexity, in addition to the central themes of parallel archi tectures and languages. The proceedings of the PARLE '91 conference contain the text of all con tributed papers that were selected for the programme and of the invited papers by leading experts in the field.

Coevolutionary Search Among Adversaries

Coevolutionary Search Among Adversaries PDF Author: Christopher Darrell Rosin
Publisher:
ISBN:
Category :
Languages : en
Pages : 462

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Parallel Computation

Parallel Computation PDF Author: Selim G. Akl
Publisher: Upper Saddle River, N.J. : Prentice Hall
ISBN:
Category : Computers
Languages : en
Pages : 632

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Book Description
Mathematics of Computing -- Parallelism.

Mathematical Reviews

Mathematical Reviews PDF Author:
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 1852

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Computational Complexity

Computational Complexity PDF Author: Sanjeev Arora
Publisher: Cambridge University Press
ISBN: 0521424267
Category : Computers
Languages : en
Pages : 609

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Book Description
New and classical results in computational complexity, including interactive proofs, PCP, derandomization, and quantum computation. Ideal for graduate students.

Designing Sorting Networks

Designing Sorting Networks PDF Author: Sherenaz W. Al-Haj Baddar
Publisher: Springer Science & Business Media
ISBN: 1461418518
Category : Computers
Languages : en
Pages : 132

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Book Description
Designing Sorting Networks: A New Paradigm provides an in-depth guide to maximizing the efficiency of sorting networks, and uses 0/1 cases, partially ordered sets and Haase diagrams to closely analyze their behavior in an easy, intuitive manner. This book also outlines new ideas and techniques for designing faster sorting networks using Sortnet, and illustrates how these techniques were used to design faster 12-key and 18-key sorting networks through a series of case studies. Finally, it examines and explains the mysterious behavior exhibited by the fastest-known 9-step 16-key network. Designing Sorting Networks: A New Paradigm is intended for advanced-level students, researchers and practitioners as a reference book. Academics in the fields of computer science, engineering and mathematics will also find this book invaluable.

Understanding Machine Learning

Understanding Machine Learning PDF Author: Shai Shalev-Shwartz
Publisher: Cambridge University Press
ISBN: 1107057132
Category : Computers
Languages : en
Pages : 415

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Book Description
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.

Efficient Processing of Deep Neural Networks

Efficient Processing of Deep Neural Networks PDF Author: Vivienne Sze
Publisher: Springer Nature
ISBN: 3031017668
Category : Technology & Engineering
Languages : en
Pages : 254

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Book Description
This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.