High Performance In Memory Genome Data Analysis

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High-Performance In-Memory Genome Data Analysis

Author : Hasso Plattner
Publisher : Springer Science & Business Media
ISBN 13 : 3319030353
Total Pages : 239 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis High-Performance In-Memory Genome Data Analysis by : Hasso Plattner

Download or read book High-Performance In-Memory Genome Data Analysis written by Hasso Plattner and published by Springer Science & Business Media. This book was released on 2013-11-19 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

High Performance Computing

Author : Ponnuswamy Sadayappan
Publisher :
ISBN 13 : 9788303050748
Total Pages : 0 pages
Book Rating : 4.0/5 (57 download)

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Book Synopsis High Performance Computing by : Ponnuswamy Sadayappan

Download or read book High Performance Computing written by Ponnuswamy Sadayappan and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

A Course in In-Memory Data Management

Author : Hasso Plattner
Publisher : Springer
ISBN 13 : 3642552706
Total Pages : 315 pages
Book Rating : 4.6/5 (425 download)

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Book Synopsis A Course in In-Memory Data Management by : Hasso Plattner

Download or read book A Course in In-Memory Data Management written by Hasso Plattner and published by Springer. This book was released on 2014-05-28 with total page 315 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent achievements in hardware and software development, such as multi-core CPUs and DRAM capacities of multiple terabytes per server, enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of enterprise data. Professor Hasso Plattner and his research group at the Hasso Plattner Institute in Potsdam, Germany, have been investigating and teaching the corresponding concepts and their adoption in the software industry for years. This book is based on an online course that was first launched in autumn 2012 with more than 13,000 enrolled students and marked the successful starting point of the openHPI e-learning platform. The course is mainly designed for students of computer science, software engineering, and IT related subjects, but addresses business experts, software developers, technology experts, and IT analysts alike. Plattner and his group focus on exploring the inner mechanics of a column-oriented dictionary-encoded in-memory database. Covered topics include - amongst others - physical data storage and access, basic database operators, compression mechanisms, and parallel join algorithms. Beyond that, implications for future enterprise applications and their development are discussed. Step by step, readers will understand the radical differences and advantages of the new technology over traditional row-oriented, disk-based databases. In this completely revised 2nd edition, we incorporate the feedback of thousands of course participants on openHPI and take into account latest advancements in hard- and software. Improved figures, explanations, and examples further ease the understanding of the concepts presented. We introduce advanced data management techniques such as transparent aggregate caches and provide new showcases that demonstrate the potential of in-memory databases for two diverse industries: retail and life sciences.

Next-Generation Sequencing Data Analysis

Author : Xinkun Wang
Publisher : CRC Press
ISBN 13 : 1482217899
Total Pages : 252 pages
Book Rating : 4.4/5 (822 download)

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Book Synopsis Next-Generation Sequencing Data Analysis by : Xinkun Wang

Download or read book Next-Generation Sequencing Data Analysis written by Xinkun Wang and published by CRC Press. This book was released on 2016-04-06 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Practical Guide to the Highly Dynamic Area of Massively Parallel SequencingThe development of genome and transcriptome sequencing technologies has led to a paradigm shift in life science research and disease diagnosis and prevention. Scientists are now able to see how human diseases and phenotypic changes are connected to DNA mutation, polymorphi

High Performance Computing

Author : Julian M. Kunkel
Publisher : Springer
ISBN 13 : 331941321X
Total Pages : 506 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis High Performance Computing by : Julian M. Kunkel

Download or read book High Performance Computing written by Julian M. Kunkel and published by Springer. This book was released on 2016-06-14 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 31st International Conference, ISC High Performance 2016 [formerly known as the International Supercomputing Conference] held in Frankfurt, Germany, in June 2016. The 25 revised full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers cover the following topics: Autotuning and Thread Mapping; Data Locality and Decomposition; Scalable Applications; Machine Learning; Datacenters andCloud; Communication Runtime; Intel Xeon Phi; Manycore Architectures; Extreme-scale Computations; and Resilience.

Contemporary High Performance Computing

Author : Jeffrey S. Vetter
Publisher : CRC Press
ISBN 13 : 1466568356
Total Pages : 730 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Contemporary High Performance Computing by : Jeffrey S. Vetter

Download or read book Contemporary High Performance Computing written by Jeffrey S. Vetter and published by CRC Press. This book was released on 2017-11-23 with total page 730 pages. Available in PDF, EPUB and Kindle. Book excerpt: Contemporary High Performance Computing: From Petascale toward Exascale focuses on the ecosystems surrounding the world’s leading centers for high performance computing (HPC). It covers many of the important factors involved in each ecosystem: computer architectures, software, applications, facilities, and sponsors. The first part of the book examines significant trends in HPC systems, including computer architectures, applications, performance, and software. It discusses the growth from terascale to petascale computing and the influence of the TOP500 and Green500 lists. The second part of the book provides a comprehensive overview of 18 HPC ecosystems from around the world. Each chapter in this section describes programmatic motivation for HPC and their important applications; a flagship HPC system overview covering computer architecture, system software, programming systems, storage, visualization, and analytics support; and an overview of their data center/facility. The last part of the book addresses the role of clouds and grids in HPC, including chapters on the Magellan, FutureGrid, and LLGrid projects. With contributions from top researchers directly involved in designing, deploying, and using these supercomputing systems, this book captures a global picture of the state of the art in HPC.

EHealth - For Continuity of Care

Author : C. Lovis
Publisher : IOS Press
ISBN 13 : 1614994323
Total Pages : 1328 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis EHealth - For Continuity of Care by : C. Lovis

Download or read book EHealth - For Continuity of Care written by C. Lovis and published by IOS Press. This book was released on 2014-09-30 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information technology and the information sciences have been part of our lives for some time now. They have revolutionized the healthcare system, changing the whole health landscape, as well as health culture. New devices, sources of data and roles for all those involved in healthcare are being developed as a result. This book presents the proceedings of the 25th European Medical Informatics Conference, held in Istanbul, Turkey in August/September 2014. The conference aims to present the most recent developments in biomedical informatics. The book is divided into 15 sections, which include: decision support systems and clinical practice guidelines; improved healthcare through informatics; data analysis; mobile health; technology and system evaluation; and text mining. The final two sections present posters from the conference. The book will be of interest to all those in the healthcare sector, researchers and practitioners alike, who develop, evaluate or work with information technology.

Cloud Computing

Author : Nick Antonopoulos
Publisher : Springer
ISBN 13 : 3319546457
Total Pages : 418 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Cloud Computing by : Nick Antonopoulos

Download or read book Cloud Computing written by Nick Antonopoulos and published by Springer. This book was released on 2017-06-02 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practically-focused reference presents a comprehensive overview of the state of the art in Cloud Computing, and examines the potential for future Cloud and Cloud-related technologies to address specific industrial and research challenges. This new edition explores both established and emergent principles, techniques, protocols and algorithms involved with the design, development, and management of Cloud-based systems. The text reviews a range of applications and methods for linking Clouds, undertaking data management and scientific data analysis, and addressing requirements both of data analysis and of management of large scale and complex systems. This new edition also extends into the emergent next generation of mobile telecommunications, relating network function virtualization and mobile edge Cloud Computing, as supports Smart Grids and Smart Cities. As with the first edition, emphasis is placed on the four quality-of-service cornerstones of efficiency, scalability, robustness, and security.

Encyclopedia of Bioinformatics and Computational Biology

Author :
Publisher : Elsevier
ISBN 13 : 0128114320
Total Pages : 3421 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Encyclopedia of Bioinformatics and Computational Biology by :

Download or read book Encyclopedia of Bioinformatics and Computational Biology written by and published by Elsevier. This book was released on 2018-08-21 with total page 3421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases

Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI

Author : Abdelkader Hameurlain
Publisher : Springer Nature
ISBN 13 : 3662623862
Total Pages : 197 pages
Book Rating : 4.6/5 (626 download)

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Book Synopsis Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI by : Abdelkader Hameurlain

Download or read book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVI written by Abdelkader Hameurlain and published by Springer Nature. This book was released on 2020-11-20 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing (e.g., computing resources, services, metadata, data sources) across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 46th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, contains six fully revised selected regular papers. Topics covered include an elastic framework for genomic data management, medical data cloud federations, temporal pattern mining, scalable schema discovery, load shedding, and selectivity estimation using linked Bayesian networks.

Big Data – BigData 2020

Author : Surya Nepal
Publisher : Springer Nature
ISBN 13 : 3030596125
Total Pages : 264 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Big Data – BigData 2020 by : Surya Nepal

Download or read book Big Data – BigData 2020 written by Surya Nepal and published by Springer Nature. This book was released on 2020-09-17 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 9th International Conference on Big Data, BigData 2020, held as part of SCF 2020, during September 18-20, 2020. The conference was planned to take place in Honolulu, HI, USA and was changed to a virtual format due to the COVID-19 pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data Architecture, Big Data Modeling, Big Data As A Service, Big Data for Vertical Industries (Government, Healthcare, etc.), Big Data Analytics, Big Data Toolkits, Big Data Open Platforms, Economic Analysis, Big Data for Enterprise Transformation, Big Data in Business Performance Management, Big Data for Business Model Innovations and Analytics, Big Data in Enterprise Management Models and Practices, Big Data in Government Management Models and Practices, and Big Data in Smart Planet Solutions.

High Performance Computing

Author : Ponnuswamy Sadayappan
Publisher : Springer Nature
ISBN 13 : 3030507432
Total Pages : 564 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis High Performance Computing by : Ponnuswamy Sadayappan

Download or read book High Performance Computing written by Ponnuswamy Sadayappan and published by Springer Nature. This book was released on 2020-06-15 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 35th International Conference on High Performance Computing, ISC High Performance 2020, held in Frankfurt/Main, Germany, in June 2020.* The 27 revised full papers presented were carefully reviewed and selected from 87 submissions. The papers cover a broad range of topics such as architectures, networks & infrastructure; artificial intelligence and machine learning; data, storage & visualization; emerging technologies; HPC algorithms; HPC applications; performance modeling & measurement; programming models & systems software. *The conference was held virtually due to the COVID-19 pandemic. Chapters "Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) Streaming-Aggregation Hardware Design and Evaluation", "Solving Acoustic Boundary Integral Equations Using High Performance Tile Low-Rank LU Factorization", "Scaling Genomics Data Processing with Memory-Driven Computing to Accelerate Computational Biology", "Footprint-Aware Power Capping for Hybrid Memory Based Systems", and "Pattern-Aware Staging for Hybrid Memory Systems" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Building a Columnar Database on RAMCloud

Author : Christian Tinnefeld
Publisher : Springer
ISBN 13 : 3319207113
Total Pages : 139 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Building a Columnar Database on RAMCloud by : Christian Tinnefeld

Download or read book Building a Columnar Database on RAMCloud written by Christian Tinnefeld and published by Springer. This book was released on 2015-07-07 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the field of parallel database management systems and illustrates the great variety of solutions based on a shared-storage or a shared-nothing architecture. Constantly dropping memory prices and the desire to operate with low-latency responses on large sets of data paved the way for main memory-based parallel database management systems. However, this area is currently dominated by the shared-nothing approach in order to preserve the in-memory performance advantage by processing data locally on each server. The main argument this book makes is that such an unilateral development will cease due to the combination of the following three trends: a) Today’s network technology features remote direct memory access (RDMA) and narrows the performance gap between accessing main memory on a server and of a remote server to and even below a single order of magnitude. b) Modern storage systems scale gracefully, are elastic and provide high-availability. c) A modern storage system such as Stanford’s RAM Cloud even keeps all data resident in the main memory. Exploiting these characteristics in the context of a main memory-based parallel database management system is desirable. The book demonstrates that the advent of RDMA-enabled network technology makes the creation of a parallel main memory DBMS based on a shared-storage approach feasible.

Network and Parallel Computing

Author : Shaoshan Liu
Publisher : Springer Nature
ISBN 13 : 3031213955
Total Pages : 360 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Network and Parallel Computing by : Shaoshan Liu

Download or read book Network and Parallel Computing written by Shaoshan Liu and published by Springer Nature. This book was released on 2022-11-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 19th IFIP WG 10.3 International Conference on Network and Parallel Computing, NPC 2022, which was held in Jinan, China, during September 24-25, 2022. The 23 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: computer architecture; cloud computing; deep learning; emerging applications; and storage and IO.

High-Performance Computing and Big Data Analysis

Author : Lucio Grandinetti
Publisher : Springer Nature
ISBN 13 : 3030334953
Total Pages : 520 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis High-Performance Computing and Big Data Analysis by : Lucio Grandinetti

Download or read book High-Performance Computing and Big Data Analysis written by Lucio Grandinetti and published by Springer Nature. This book was released on 2019-10-19 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019. The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.

Genome Data Analysis

Author : Ju Han Kim
Publisher : Springer
ISBN 13 : 9811319421
Total Pages : 367 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Genome Data Analysis by : Ju Han Kim

Download or read book Genome Data Analysis written by Ju Han Kim and published by Springer. This book was released on 2019-04-30 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.

Embedded Computer Systems: Architectures, Modeling, and Simulation

Author : Cristina Silvano
Publisher : Springer Nature
ISBN 13 : 3031460774
Total Pages : 504 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Embedded Computer Systems: Architectures, Modeling, and Simulation by : Cristina Silvano

Download or read book Embedded Computer Systems: Architectures, Modeling, and Simulation written by Cristina Silvano and published by Springer Nature. This book was released on 2023-12-08 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 22st International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2021, which took place in July 2022 in Samos, Greece. The 11 full papers and 7 short papers presented in this volume were carefully reviewed and selected from 45 submissions. The conference covers a wide range of embedded systems design aspects, including machine learning accelerators, and power management and programmable dataflow systems.