Author: Giovanni De Micheli
Publisher: Springer
ISBN: 0387749098
Category : Computers
Languages : en
Pages : 397
Book Description
This book contains extended and revised versions of the best papers presented during the fourteenth IFIP TC 10/WG 10.5 International Conference on Very Large Scale Integration. This conference provides a forum to exchange ideas and show industrial and academic research results in microelectronics design. The current trend toward increasing chip integration and technology process advancements brings about stimulating new challenges both at the physical and system-design levels.
Mysteries in Management
Author: Ajeet Narain Mathur
Publisher: Random House India
ISBN: 938599073X
Category : Business & Economics
Languages : en
Pages : 227
Book Description
Can managerial productivity be measured? In management, we continue to take many things for granted and not question the ‘unthought, unexplained knowns’. Why are women under-represented in parliament and in several corporate boards? Is management an art, a science or a craft? Most practitioners merely skim over these conundrums, without ever delving into it. Professor Ajeet N. Mathur has designed an exciting, new course titled ‘Mysteries in Management’ for the flagship MBA (PGP) programme at IIM Ahmedabad, in which selected mysteries that continue to persist in the field of management are discussed. This book includes ten carefully selected mysteries and the author, armed with credible research and revealing examples, tries to demystify them. Accessible and eminently readable, the logic behind these will surprise and delight readers in equal measure.
Publisher: Random House India
ISBN: 938599073X
Category : Business & Economics
Languages : en
Pages : 227
Book Description
Can managerial productivity be measured? In management, we continue to take many things for granted and not question the ‘unthought, unexplained knowns’. Why are women under-represented in parliament and in several corporate boards? Is management an art, a science or a craft? Most practitioners merely skim over these conundrums, without ever delving into it. Professor Ajeet N. Mathur has designed an exciting, new course titled ‘Mysteries in Management’ for the flagship MBA (PGP) programme at IIM Ahmedabad, in which selected mysteries that continue to persist in the field of management are discussed. This book includes ten carefully selected mysteries and the author, armed with credible research and revealing examples, tries to demystify them. Accessible and eminently readable, the logic behind these will surprise and delight readers in equal measure.
Deep Learning for Numerical Applications with SAS
Author: Henry Bequet
Publisher: SAS Institute
ISBN: 1635266777
Category : Computers
Languages : en
Pages : 254
Book Description
Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces—from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms This book is part of the SAS Press program.
Publisher: SAS Institute
ISBN: 1635266777
Category : Computers
Languages : en
Pages : 254
Book Description
Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces—from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms This book is part of the SAS Press program.
Swarm Robotics: A Formal Approach
Author: Heiko Hamann
Publisher: Springer
ISBN: 331974528X
Category : Technology & Engineering
Languages : en
Pages : 215
Book Description
This book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics. It goes on to present methods that allow readers to understand how to design large-scale robot systems by going through many example scenarios on topics such as aggregation, coordinated motion (flocking), task allocation, self-assembly, collective construction, and environmental monitoring. The author explains the methodology behind building multiple, simple robots and how the complexity emerges from the multiple interactions between these robots such that they are able to solve difficult tasks. The book can be used as a short textbook for specialized courses or as an introduction to Swarm Robotics for graduate students, researchers, and professionals who want a concise introduction to the field.
Publisher: Springer
ISBN: 331974528X
Category : Technology & Engineering
Languages : en
Pages : 215
Book Description
This book provides an introduction to Swarm Robotics, which is the application of methods from swarm intelligence to robotics. It goes on to present methods that allow readers to understand how to design large-scale robot systems by going through many example scenarios on topics such as aggregation, coordinated motion (flocking), task allocation, self-assembly, collective construction, and environmental monitoring. The author explains the methodology behind building multiple, simple robots and how the complexity emerges from the multiple interactions between these robots such that they are able to solve difficult tasks. The book can be used as a short textbook for specialized courses or as an introduction to Swarm Robotics for graduate students, researchers, and professionals who want a concise introduction to the field.
Metaheuristics for Scheduling in Distributed Computing Environments
Author: Fatos Xhafa
Publisher: Springer
ISBN: 3540692770
Category : Technology & Engineering
Languages : en
Pages : 373
Book Description
Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
Publisher: Springer
ISBN: 3540692770
Category : Technology & Engineering
Languages : en
Pages : 373
Book Description
Grid computing has emerged as one of the most promising computing paradigms of the new millennium! Achieving high performance Grid computing requires techniques to efficiently and adaptively allocate jobs and applications to available resources in a large scale, highly heterogenous and dynamic environment. This volume presents meta-heuristics approaches for Grid scheduling problems. Due to the complex nature of the problem, meta-heuristics are primary techniques for the design and implementation of efficient Grid schedulers. The volume brings new ideas, analysis, implementations and evaluation of meta-heuristic techniques for Grid scheduling, which make this volume novel in several aspects. The 14 chapters of this volume have identified several important formulations of the problem, which we believe will serve as a reference for the researchers in the Grid computing community. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
Reliable and Energy Efficient Streaming Multiprocessor Systems
Author: Anup Kumar Das
Publisher: Springer
ISBN: 3319693743
Category : Technology & Engineering
Languages : en
Pages : 158
Book Description
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
Publisher: Springer
ISBN: 3319693743
Category : Technology & Engineering
Languages : en
Pages : 158
Book Description
This book discusses analysis, design and optimization techniques for streaming multiprocessor systems, while satisfying a given area, performance, and energy budget. The authors describe design flows for both application-specific and general purpose streaming systems. Coverage also includes the use of machine learning for thermal optimization at run-time, when an application is being executed. The design flow described in this book extends to thermal and energy optimization with multiple applications running sequentially and concurrently.
Swarm Intelligence
Author: Mauro Birattari
Publisher: Springer
ISBN: 3642326501
Category : Computers
Languages : en
Pages : 368
Book Description
This book constitutes the proceedings of the 8th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2012. This volume contains 15 full papers, 20 short papers, and 7 extended abstracts carefully selected out of 81 submissions. The papers cover various topics of swarm intelligence.
Publisher: Springer
ISBN: 3642326501
Category : Computers
Languages : en
Pages : 368
Book Description
This book constitutes the proceedings of the 8th International Conference on Swarm Intelligence, held in Brussels, Belgium, in September 2012. This volume contains 15 full papers, 20 short papers, and 7 extended abstracts carefully selected out of 81 submissions. The papers cover various topics of swarm intelligence.
Advanced Techniques for Power, Energy, and Thermal Management for Clustered Manycores
Author: Santiago Pagani
Publisher: Springer
ISBN: 3319774794
Category : Technology & Engineering
Languages : en
Pages : 295
Book Description
This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.
Publisher: Springer
ISBN: 3319774794
Category : Technology & Engineering
Languages : en
Pages : 295
Book Description
This book focuses on two of the most relevant problems related to power management on multicore and manycore systems. Specifically, one part of the book focuses on maximizing/optimizing computational performance under power or thermal constraints, while another part focuses on minimizing energy consumption under performance (or real-time) constraints.
Computer Networks and IoT
Author: Hai Jin
Publisher: Springer Nature
ISBN: 9819713323
Category :
Languages : en
Pages : 360
Book Description
Publisher: Springer Nature
ISBN: 9819713323
Category :
Languages : en
Pages : 360
Book Description
Evaluation of Novel Approaches to Software Engineering
Author: Ernesto Damiani
Publisher: Springer
ISBN: 3030225593
Category : Computers
Languages : en
Pages : 412
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, held in Funchal, Madeira, Portugal, in March 2018. The 17 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 95 submissions. The papers are organized in topical sections on service science and business information systems and software engineering.
Publisher: Springer
ISBN: 3030225593
Category : Computers
Languages : en
Pages : 412
Book Description
This book constitutes the refereed proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, ENASE 2018, held in Funchal, Madeira, Portugal, in March 2018. The 17 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 95 submissions. The papers are organized in topical sections on service science and business information systems and software engineering.
Algorithms and Architectures for Parallel Processing
Author: Shadi Ibrahim
Publisher: Springer
ISBN: 3319654829
Category : Computers
Languages : en
Pages : 836
Book Description
This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017. The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017), the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).
Publisher: Springer
ISBN: 3319654829
Category : Computers
Languages : en
Pages : 836
Book Description
This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017. The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017), the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).