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Adaptive computing systems --- Heterogeneous computing --- High performance computing.
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Heterogeneous Systems Architecture - a new compute platform infrastructure presents a next-generation hardware platform, and associated software, that allows processors of different types to work efficiently and cooperatively in shared memory from a single source program. HSA also defines a virtual ISA for parallel routines or kernels, which is vendor and ISA independent thus enabling single source programs to execute across any HSA compliant heterogeneous processer from those used in smartphones to supercomputers. The book begins with an overview of the evolution of heterogeneous parallel processing, associated problems, and how they are overcome with HSA. Later chapters provide a deeper perspective on topics such as the runtime, memory model, queuing, context switching, the architected queuing language, simulators, and tool chains. Finally, three real world examples are presented, which provide an early demonstration of how HSA can deliver significantly higher performance thru C++ based applications. Contributing authors are HSA Foundation members who are experts from both academia and industry. Some of these distinguished authors are listed here in alphabetical order: Yeh-Ching Chung, Benedict R. Gaster, Juan Gómez-Luna, Derek Hower, Lee Howes, Shih-Hao HungThomas B. Jablin, David Kaeli,Phil Rogers, Ben Sander, I-Jui (Ray) Sung. Provides clear and concise explanations of key HSA concepts and fundamentals by expert HSA Specification contributors Explains how performance-bound programming algorithms and application types can be significantly optimized by utilizing HSA hardware and software features Presents HSA simply, clearly, and concisely without reading the detailed HSA Specification documents Demonstrates ideal mapping of processing resources from CPUs to many other heterogeneous processors that comply with HSA Specifications
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SC22 will bring together the international supercomputing community, a gathering of scientists, engineers, researchers, educators, programmers, system administrators, and developers that is unequaled in the world for an exceptional program of technical presentations, papers, informative tutorials, timely research posters, and Birds of a Feather (BoF) sessions.
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With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to (complex) queries can be evaluated based on the data on multiple providers instead of just one. This book motivates, introduces, and details techniques for processing heterogeneous structured data on the Web by providing a comprehensive overview for database researchers and practitioners about this new publishing paradigm on the web, and show how the abundance of data published as Linked Data can serve as a fertile ground for database research and experimentation--
Information systems --- Library automation --- Computer architecture. Operating systems --- Linked data --- Database management --- Data structures (Computer science) --- Semantic web --- Heterogeneous computing --- Linked data. --- Database management. --- Semantic Web. --- Heterogeneous computing. --- Computers --- Database Management --- General. --- Data Mining. --- Internet --- Data structures (Computer science).
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This open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.
Computer software --- Software engineering. --- Development --- Management. --- Computer software engineering --- Engineering --- Heterogeneous Computing --- Cloud, Edge --- HPC --- IaC --- DevOps --- Semantic Reasoning
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Electronic data processing --- Heterogeneous computing --- Adaptive computing systems --- Computational grids (Computer systems) --- Computer Science --- Engineering & Applied Sciences --- Adaptive computing --- Configurable computing systems --- Reconfigurable computing systems --- Computer systems --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers) --- Distributed processing
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Wireless communication systems --- Heterogeneous computing --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Telecommunication systems --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers) --- Quality control
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