Data Orchestration in Deep Learning Accelerators, Krishna, Tushar Kwon, Hyoukjun Parashar, Angshuman Pellauer, Michael Samajdar, Ananda
Автор: Ananda Samajdar, Angshuman Parashar, Hyoukjun Kwon, Michael Pellauer, Tushar Krishna Название: Data Orchestration in Deep Learning Accelerators ISBN: 1681738716 ISBN-13(EAN): 9781681738710 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 12751.00 р. Наличие на складе: Поставка под заказ.
Описание: This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of computations; this necessitates extensive data movement from memory to on-chip processing engines. It is well known that the cost of data movement today surpasses the cost of the actual computation; therefore, DNN accelerators require careful orchestration of data across on-chip compute, network, and memory elements to minimize the number of accesses to external DRAM. The book covers DNN dataflows, data reuse, buffer hierarchies, networks-on-chip, and automated design-space exploration. It concludes with data orchestration challenges with compressed and sparse DNNs and future trends. The target audience is students, engineers, and researchers interested in designing high-performance and low-energy accelerators for DNN inference.
Автор: Appleby, Rob , Burt, Graeme , Clarke, James , O Название: The Science and Technology of Particle Accelerators ISBN: 1138499870 ISBN-13(EAN): 9781138499874 Издательство: Taylor&Francis Рейтинг: Цена: 19906.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides an accessible introduction to the field, and is suitable for advanced undergraduates, graduate students and academics, as well as professionals in national laboratories and facilities, industry and medicine who are designing or using particle accelerators.
Автор: Huang, Xiaobiao Название: Beam-based correction and optimization for accelerators ISBN: 1138353167 ISBN-13(EAN): 9781138353169 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Нет в наличии.
Описание: This book provides systematic coverage of the beam based techniques that accelerator physicists use to improve the performance of large particle accelerators, including synchrotrons and linacs.
Автор: Krishna Tushar, Kwon Hyoukjun, Parashar Angshuman Название: Data Orchestration in Deep Learning Accelerators ISBN: 1681738694 ISBN-13(EAN): 9781681738697 Издательство: Mare Nostrum (Eurospan) Цена: 9979.00 р. Наличие на складе: Поставка под заказ.
Описание: This Synthesis Lecture focuses on techniques for efficient data orchestration within DNN accelerators. The End of Moore's Law, coupled with the increasing growth in deep learning and other AI applications has led to the emergence of custom Deep Neural Network (DNN) accelerators for energy-efficient inference on edge devices. Modern DNNs have millions of hyper parameters and involve billions of computations; this necessitates extensive data movement from memory to on-chip processing engines. It is well known that the cost of data movement today surpasses the cost of the actual computation; therefore, DNN accelerators require careful orchestration of data across on-chip compute, network, and memory elements to minimize the number of accesses to external DRAM. The book covers DNN dataflows, data reuse, buffer hierarchies, networks-on-chip, and automated design-space exploration. It concludes with data orchestration challenges with compressed and sparse DNNs and future trends. The target audience is students, engineers, and researchers interested in designing high-performance and low-energy accelerators for DNN inference.
Автор: Jan Harima Название: Public Accelerators in Entrepreneurial Ecosystems ISBN: 3658316543 ISBN-13(EAN): 9783658316549 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Resource Orchestration in the Early Ecosystem Evolution
Автор: Felipe Gutierrez Название: Spring Cloud Data Flow ISBN: 1484212401 ISBN-13(EAN): 9781484212400 Издательство: Springer Рейтинг: Цена: 5304.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Work with big data applications by using Spring Cloud Data Flow as a unified, distributed, and extensible system for data ingestion and integration, real-time analytics and data processing pipelines, batch processing, and data export. With this book you will develop a foundation for creating applications that use real-time data streaming by combining different technologies and use the full power of Spring Cloud Data Flow. The first part of Spring Cloud Data Flow introduces the concepts you will need in the rest of the book. It begins with an overview of the cloud, microservices, and big data, before moving on to the Spring projects essential to modern big data applications in Java: Spring Integration, Spring Batch, Spring Cloud Stream, and Spring Cloud Task. The second part of the book covers the internals of Spring Cloud Data Flow, giving you the insights and knowledge required to build the applications you need. You'll learn how to use Spring Data Flow's DSL and how to integrate with third-party cloud platform solutions, such as Kubernetes. Finally, the book covers Spring Cloud Data Flow applications to impart practical, useful skills for real-world applications of the technologies covered throughout the rest of the book. What You Will Learn
See the Spring Cloud Data Flow internals
Create your own Binder using NATs as Broker
Mater Spring Cloud Data Flow architecture, data processing, and DSL
Integrate Spring Cloud Data Flow with Kubernetes
Use Spring Cloud Data Flow local server, Docker Compose, and Kubernetes
Discover the Spring Cloud Data Flow applications and how to use them
Work with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and Grafana
Who This Book Is ForThose with some experience with the Spring Framework, Microservices and Cloud Native Applications. Java experience is recommended.
Описание: 1 Overview of data architecture on Microsoft Azure Introduction Technologies: everyone touched in the book plus some other edge technologies just mentioned. We explain the scenarios of the book.This chapter will be written during the whole process, updating it with the relevant content of the scenarios developed in the chapters. 2 Working with Relational DBs on Azure Relational DBs scenarios Technologies: VMs, Backup, Storage, SQL Server DR and GEO-DR, (Oracle, MySQL)We would like to cover the best practices to deploy standard RDBMSs while using Azure VMs and networking. 3 Working with Azure SQL Database Azure DB scenarios Technologies: Azure SQL DB, Stretch DB, Database Pools, Sharding data, Migration from other RDBMSs to Azure SQL DBThis chapter is about the SQL Database PaaS, with some tricks for advanced usage. We cover the services and the connected services, how to scale with relational DBs and how to write multi-tenant applications. 4 Working with NoSQL alternatives NoSQL scenarios Technologies: Storage, DocumentDB, Redis, Azure SearchThis chapter enforces the polyglot persistence idea, where different technologies and data sources address different needs. The NoSQL alternatives can fill the gap of modern applications in terms of performance and feature set. 5 Orchestrate data with Azure Data Factory Integration scenarios Technologies: Azure Data FactoryIn this chapter we talk about integration of different data sources and advanced pipelines of data transformation. We explore some scenarios to lower the complexity of the Data Factory service and we see how to setup existing solutions to fit it. 6 Advanced analysis with Azure Data Lake Analysis scenarios Technologies: Data Lake Store/Analytics, U-SQLThis is the first chapter about ingestion of big data. This is focused on ingestion of native data, to be prepared, enriched and evaluated/analyzed in a second step. 7 Real-time Ingestion, Processing and Prediction Real-time scenarios Technologies: Machine Learning, Stream Analytics, Event HubThis is instead focused in ingestion of well-known and structured data with the aim to process it in real-time. In addition a step of prediction is added to react (in real time too) to certain events. 8 Working with Big Data with Azure Batch and Map/Reduce Big data scenarios Technologies: HDInsight, Hadoop, Spark, R Server, Storm, Azure BatchThis is the last chapter about Big Data, exploring the industry standard to perform data operations, while executing those engines on Azure. 9 APPENDIX (tbd yet, adding some of the topics below to one of the other chapter still has to be defined) Other Technologies: Azure Analysis Services (chapter 3?), Power BI (chapter 6?), Azure SQL DataWarehouse (chapter 6?), Azure Data Catalog (chapter 5?)Those technologies should fit the existing chapters, but we do not know where they best fit at the time being.
Автор: Senthil Kumaran S. Название: Practical LXC and LXD ISBN: 148423023X ISBN-13(EAN): 9781484230237 Издательство: Springer Рейтинг: Цена: 4191.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Use Linux containers as an alternative virtualization technique to virtualize your operating system environment. This book will cover LXC's unmatched flexibility with virtualization and LXD's smooth user experience. Practical LXC and LXD begins by introducing you to Linux containers (LXC and LXD). You will then go through use cases based on LXC and LXD. Next, you will see the internal workings of LXC and LXD by considering the repositories and templates used. You will then learn how to integrate LXC and LXD with common virtualization and orchestration tools such as libvirt and SaltStack. Finally, you will dive into containerization and security. The book will explore some of the common problems in security and provide a case study on how containerization can help mitigate some of the operating system-level security issues in an IoT environment. What You Will Learn
Get an introduction to Linux containers
Discover the basics of LXC and LXD
See use cases that can be solved with LXC and LXD - for developers, devops, and system administrators
Master LXC and LXD repositories
Use LXC and LXD with common virtualization and orchestration tools
Consider a containerization and security in IoT case study
Who This Book Is For
The audience for this book should have basic knowledge of Linux and software development in general. The intended readership is primarily software developers, operations engineers, and system administrators who are interested in devops, though managers and enthusiasts will also benefit from this book.
Автор: Berlioz Название: Berlioz`s Orchestration Treatise ISBN: 0521239532 ISBN-13(EAN): 9780521239530 Издательство: Cambridge Academ Рейтинг: Цена: 22968.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This is a book both by and about Berlioz, providing not only a translation but also an extensive commentary on his text, dealing with the instruments of Berlioz`s time and comparing his instruction with his practice.
Описание: Using real-world examples, authors Jason Dobies and Joshua Wood demonstrate how to use Operators today and how to create Operators for your applications with the Operator Framework and SDK.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
