Appgallery
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Advances in Computers
Advances in Computers, Volume 106 is the latest volume in the series, which has been published since 1960. This update presents innovations in computer hardware, software, theory, design and applications, with new chapters in this volume including sections on A New Course on R&D Project Management in Computer Science and Engineering: Subjects Taught, Rationales Behind, and Lessons Learned, Advances in Dataflow Systems, Adaptation and Evaluation of the Simplex Algorithm for a Data-Flow Architecture, and Simple Operations in Memory to Reduce Data Movement. In addition, this series provides contributors with a medium to explore their subjects in greater depth than journal articles usually allow. - Provides in-depth surveys and tutorials on new computer technology - Presents well-known authors and researchers in the field - Contains extensive bibliographies with most chapters - Includes volumes that are devoted to single themes or subfields of computer science
Partnering with HMS: A Guide for App Developers
Partnering with HMS: A Guide for App Developers is the first book to introduce readers to the Huawei Mobile Services (HMS) ecosystem. It gives developers a fundamental understanding of the ecosystem and how to leverage kit and tool capabilities to make their apps better. This book is also a quick start guide for kit integration and practical environment setup, detailing the functions and principles behind each kit. By demonstrating how to integrate kits, the authors teach these kits by action: Account Kit, IAP, Push Kit, Location Kit, Map Kit, Site Kit, Safety Detect, and FIDO. Readers are fully introduced to how they can use HMS open capabilities to develop quality apps, acquire users, and monetize their hard work. In addition, the ecosystem background – the business model and value chain that underpin the entire ecosystem as well as its privacy compliance framework – is crucial to operations and illustrated in this book.
DataFlow Supercomputing Essentials
This informative text/reference highlights the potential of DataFlow computing in research requiring high speeds, low power requirements, and high precision, while also benefiting from a reduction in the size of the equipment. The cutting-edge research and implementation case studies provided in this book will help the reader to develop their practical understanding of the advantages and unique features of this methodology. This work serves as a companion title to DataFlow Supercomputing Essentials: Algorithms, Applications and Implementations, which reviews the key algorithms in this area, and provides useful examples. Topics and features: reviews the library of tools, applications, and source code available to support DataFlow programming; discusses the enhancements to DataFlow computing yielded by small hardware changes, different compilation techniques, debugging, and optimizing tools; examines when a DataFlow architecture is best applied, and for which types of calculation; describes how converting applications to a DataFlow representation can result in an acceleration in performance, while reducing the power consumption; explains how to implement a DataFlow application on Maxeler hardware architecture, with links to a video tutorial series available online. This enlightening volume will be of great interest to all researchers investigating supercomputing in general, and DataFlow computing in particular. Advanced undergraduate and graduate students involved in courses on Data Mining, Microprocessor Systems, and VLSI Systems, will also find the book to be a helpful reference.