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Towards Efficient Data Processing Methods For In Memory Architectures
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Book Synopsis Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation by : Stanisław Kozielski
Download or read book Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation written by Stanisław Kozielski and published by Springer. This book was released on 2017-05-16 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 13th International Conference entitled Beyond Databases, Architectures and Structures, BDAS 2017, held in Ustroń, Poland, in May/June 2017. It consists of 44 carefully reviewed papers selected from 118 submissions. The papers are organized in topical sections, namely big data and cloud computing; artificial intelligence, data mining and knowledge discovery; architectures, structures and algorithms for efficient data processing; text mining, natural language processing, ontologies and semantic web; bioinformatics and biological data analysis; industrial applications; data mining tools, optimization and compression.
Book Synopsis Numerical Methods for Least Squares Problems by : Ake Bjorck
Download or read book Numerical Methods for Least Squares Problems written by Ake Bjorck and published by SIAM. This book was released on 1996-01-01 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: The method of least squares was discovered by Gauss in 1795. It has since become the principal tool to reduce the influence of errors when fitting models to given observations. Today, applications of least squares arise in a great number of scientific areas, such as statistics, geodetics, signal processing, and control. In the last 20 years there has been a great increase in the capacity for automatic data capturing and computing. Least squares problems of large size are now routinely solved. Tremendous progress has been made in numerical methods for least squares problems, in particular for generalized and modified least squares problems and direct and iterative methods for sparse problems. Until now there has not been a monograph that covers the full spectrum of relevant problems and methods in least squares. This volume gives an in-depth treatment of topics such as methods for sparse least squares problems, iterative methods, modified least squares, weighted problems, and constrained and regularized problems. The more than 800 references provide a comprehensive survey of the available literature on the subject.
Book Synopsis Efficient Processing of Deep Neural Networks by : Vivienne Sze
Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Deep In-memory Architectures for Machine Learning by : Mingu Kang
Download or read book Deep In-memory Architectures for Machine Learning written by Mingu Kang and published by Springer Nature. This book was released on 2020-01-30 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs. From first principles to lab prototypes, this book provides a comprehensive view of this emerging topic for both the practicing engineer in industry and the researcher in academia. The book is a journey into the exciting world of AI systems in hardware.
Book Synopsis Technological Advancements and Innovations in Future of Education by : Samira Hosseini
Download or read book Technological Advancements and Innovations in Future of Education written by Samira Hosseini and published by Springer Nature. This book was released on with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL by : Saurabh Mani Tripathi
Download or read book Real-Time Simulation and Hardware-in-the-Loop Testing Using Typhoon HIL written by Saurabh Mani Tripathi and published by Springer Nature. This book was released on 2023 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an edited collection that explores the fundamental concepts of real-time simulation/hardware-in-the-loop testing using Typhoon HIL for complex electrical systems. Typhoon HIL has recently emerged as a powerful tool in the rapidly growing field of ultra-high-fidelity controller-hardware-in-the-loop (C-HIL) simulations for power electronics, microgrids, and distribution networks. The book integrates the coverage of underlying theory and acclaimed methodological approaches and high-value applications of real-time simulation and hardware-in-the-loop testingall from the perspectives of eminent researchers around the globe utilizing Typhoon HIL. This book serves as a valuable resource for engineers, academicians, researchers, experienced professionals, and research scholars engaged in /becoming familiarized with the real-time simulation of complex electrical systems using Typhoon HIL with a specific focus on hardware-in-the-loop testing.
Book Synopsis AI Enabled IoT for Electrification and Connected Transportation by : Naveenkumar Marati
Download or read book AI Enabled IoT for Electrification and Connected Transportation written by Naveenkumar Marati and published by Springer Nature. This book was released on 2022-06-04 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment.
Book Synopsis Cyber-Security for Smart Grid Control by : Amulya Sreejith
Download or read book Cyber-Security for Smart Grid Control written by Amulya Sreejith and published by Springer Nature. This book was released on with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Deep Learning Models by : Jonah Gamba
Download or read book Deep Learning Models written by Jonah Gamba and published by Springer Nature. This book was released on with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Automated Data Retrieval in Astronomy by : Carlos Jaschek
Download or read book Automated Data Retrieval in Astronomy written by Carlos Jaschek and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of this Colloquium came during the XVIIth General Assembly of the I. A. U. at Montreal. The meeting was organized under the auspices of I. A. U. Commission 5 (Documentation and Astronomical Data). The Scientific Organizing Committee consisted of C. Jaschek (chairperson), O. Dluzhnevskaya, B. Hauck (vice chairperson), W. Heintz, P. Lantos, Th. Lederle, J. Mead~ G. Ruben, Y. Terashita, G. Wilkins. The members of this Committee are to be thanked for their devotion to the organization of what turned out to be a very successful meeting. The program was organized so as to cover most of the aspects concerning work with machine readable data. In a certain sense it is the develop ment of the subjects of I. A. U. Colloquium 35 "Compilation, critical evaluation and distribution of stellar data" held at Strasbourg in 1976. The meeting was opened by welcoming addresses delivered by Dr A. Florsch, Director of the Strasbourg Observatory, Prof. H. Curien, President of the European Science Foundation and Prof. W. Heintz, President of I. A. U. Commission 5. The sessions were devoted to the fol lowing subjects : Existing data centers, Data networks, New hardware, Recent software developments, Bibliographical services, Copyright, Editorial policies and nomenclature, Data in astronomy and Data in space astronomy. The different sessions were chaired by G. A. Pilkins, J. Mead, S. Lavrov, W. Heintz, P. Lantos, M. McCarthy, J. Delhaye and G. Westerhout. On July 9. Dr A.
Book Synopsis In-/Near-Memory Computing by : Daichi Fujiki
Download or read book In-/Near-Memory Computing written by Daichi Fujiki and published by Springer Nature. This book was released on 2022-05-31 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured introduction of the key concepts and techniques that enable in-/near-memory computing. For decades, processing-in-memory or near-memory computing has been attracting growing interest due to its potential to break the memory wall. Near-memory computing moves compute logic near the memory, and thereby reduces data movement. Recent work has also shown that certain memories can morph themselves into compute units by exploiting the physical properties of the memory cells, enabling in-situ computing in the memory array. While in- and near-memory computing can circumvent overheads related to data movement, it comes at the cost of restricted flexibility of data representation and computation, design challenges of compute capable memories, and difficulty in system and software integration. Therefore, wide deployment of in-/near-memory computing cannot be accomplished without techniques that enable efficient mapping of data-intensive applications to such devices, without sacrificing accuracy or increasing hardware costs excessively. This book describes various memory substrates amenable to in- and near-memory computing, architectural approaches for designing efficient and reliable computing devices, and opportunities for in-/near-memory acceleration of different classes of applications.
Book Synopsis VLSI 2010 Annual Symposium by : Nikolaos Voros
Download or read book VLSI 2010 Annual Symposium written by Nikolaos Voros and published by Springer Science & Business Media. This book was released on 2011-09-08 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: VLSI 2010 Annual Symposium will present extended versions of the best papers presented in ISVLSI 2010 conference. The areas covered by the papers will include among others: Emerging Trends in VLSI, Nanoelectronics, Molecular, Biological and Quantum Computing. MEMS, VLSI Circuits and Systems, Field-programmable and Reconfigurable Systems, System Level Design, System-on-a-Chip Design, Application-Specific Low Power, VLSI System Design, System Issues in Complexity, Low Power, Heat Dissipation, Power Awareness in VLSI Design, Test and Verification, Mixed-Signal Design and Analysis, Electrical/Packaging Co-Design, Physical Design, Intellectual property creating and sharing.
Book Synopsis Embedded Processor Design Challenges by : Ed F. Deprettere
Download or read book Embedded Processor Design Challenges written by Ed F. Deprettere and published by Springer. This book was released on 2003-07-31 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is intended to give an introduction to and an overview of sta- of-the-art techniques in the design of complex embedded systems. The book title is SAMOS for two major reasons. First, it tries to focus on the actual distinct, yet important problem ?elds of System-Level design of embedded systems, including mapping techniques and synthesis,Architectural design,Modeling issues such as speci?cation languages, formal models, and- nallySimulation. The second reason is that the volume includes a number of papers presented at a workshop with the same name on the Island of Samos, Greece, in July 2001. In order to receive international attention, a number of reputed researchers were invited to this workshop to present their current work. Participation was by invitation only. For the volume presented here, a number of additional papers where selected based on a call for papers. All contributions were refereed. This volume presents a selection of 18 of the refereed papers, including 2 invited papers. The textbook is organized according to four topics: The ?rst isA)System- LevelDesignandSimulation.Inthissection,wepresentacollectionofpapers that give an overview of the challenging goal to design and explore alternatives of embedded system implementations at the system-level. One paper gives an overview of models and tools used in system-level design. The other papers present new models to describe applications, provide models for re?nement and design space exploration, and for tradeo? analysis between cost and ?exibility of an implementation.
Book Synopsis Advances in Computer Systems Architecture by : Thambipillai Srikanthan
Download or read book Advances in Computer Systems Architecture written by Thambipillai Srikanthan and published by Springer. This book was released on 2005-10-19 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: On behalf of the ProgramCommittee, we are pleased to present the proceedings of the 2005 Asia-Paci?c Computer Systems Architecture Conference (ACSAC 2005) held in the beautiful and dynamic country of Singapore. This conference was the tenth in its series, one of the leading forums for sharing the emerging research ?ndings in this ?eld. In consultation with the ACSAC Steering Committee, we selected a - member Program Committee. This Program Committee represented a broad spectrum of research expertise to ensure a good balance of research areas, - stitutions and experience while maintaining the high quality of this conference series. This year’s committee was of the same size as last year but had 19 new faces. We received a total of 173 submissions which is 14% more than last year. Each paper was assigned to at least three and in some cases four ProgramC- mittee members for review. Wherever necessary, the committee members called upon the expertise of their colleagues to ensure the highest possible quality in the reviewing process. As a result, we received 415 reviews from the Program Committee members and their 105 co-reviewers whose names are acknowledged inthe proceedings.Theconferencecommitteeadopteda systematicblind review process to provide a fair assessment of all submissions. In the end, we accepted 65 papers on a broad range of topics giving an acceptance rate of 37.5%. We are grateful to all the Program Committee members and the co-reviewers for their e?orts in completing the reviews within a tight schedule.
Book Synopsis High Performance Computing for Big Data by : Chao Wang
Download or read book High Performance Computing for Big Data written by Chao Wang and published by CRC Press. This book was released on 2017-10-16 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Performance Computing for Big Data: Methodologies and Applications explores emerging high-performance architectures for data-intensive applications, novel efficient analytical strategies to boost data processing, and cutting-edge applications in diverse fields, such as machine learning, life science, neural networks, and neuromorphic engineering. The book is organized into two main sections. The first section covers Big Data architectures, including cloud computing systems, and heterogeneous accelerators. It also covers emerging 3D IC design principles for memory architectures and devices. The second section of the book illustrates emerging and practical applications of Big Data across several domains, including bioinformatics, deep learning, and neuromorphic engineering. Features Covers a wide range of Big Data architectures, including distributed systems like Hadoop/Spark Includes accelerator-based approaches for big data applications such as GPU-based acceleration techniques, and hardware acceleration such as FPGA/CGRA/ASICs Presents emerging memory architectures and devices such as NVM, STT- RAM, 3D IC design principles Describes advanced algorithms for different big data application domains Illustrates novel analytics techniques for Big Data applications, scheduling, mapping, and partitioning methodologies Featuring contributions from leading experts, this book presents state-of-the-art research on the methodologies and applications of high-performance computing for big data applications. About the Editor Dr. Chao Wang is an Associate Professor in the School of Computer Science at the University of Science and Technology of China. He is the Associate Editor of ACM Transactions on Design Automations for Electronics Systems (TODAES), Applied Soft Computing, Microprocessors and Microsystems, IET Computers & Digital Techniques, and International Journal of Electronics. Dr. Chao Wang was the recipient of Youth Innovation Promotion Association, CAS, ACM China Rising Star Honorable Mention (2016), and best IP nomination of DATE 2015. He is now on the CCF Technical Committee on Computer Architecture, CCF Task Force on Formal Methods. He is a Senior Member of IEEE, Senior Member of CCF, and a Senior Member of ACM.
Book Synopsis Active and Programmable Networks by : David Hutchison
Download or read book Active and Programmable Networks written by David Hutchison and published by Springer Science & Business Media. This book was released on 2009-04-22 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the IFIP-TC6 7th Annual International Working Conference on Active Networks, IWAN 2005, held in Sophia Antipolis, France, in November 2005. The 13 revised full papers and 13 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on programmable networks and heterogeneity, architectural frameworks, node architectures, and services.
Book Synopsis Scaling Up Machine Learning by : Ron Bekkerman
Download or read book Scaling Up Machine Learning written by Ron Bekkerman and published by Cambridge University Press. This book was released on 2012 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: This integrated collection covers a range of parallelization platforms, concurrent programming frameworks and machine learning settings, with case studies.
