Author : Rui Ren
Publisher : Springer
Page : 130 pages
File Size : 29,35 MB
Release : 2019-01-11
Category : Computers
ISBN : 9811359105
This book constitutes the refereed proceedings of the First Workshop on Big Scientific Data Benchmarks, Architecture, and Systems, SDBA 2018, held in Beijing, China, in June 2018. The 10 revised full papers presented were carefully reviewed and selected from 22 submissions. The papers are organized in topical sections on benchmarking; performance optimization; algorithms; big science data framework.
Author : Andrew A. Chien
Publisher : Cambridge University Press
Page : 266 pages
File Size : 41,7 MB
Release : 2022-03-10
Category : Computers
ISBN : 1009008382
The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.
Author : Ivan Mistrik
Publisher : Morgan Kaufmann
Page : 472 pages
File Size : 16,88 MB
Release : 2017-06-12
Category : Computers
ISBN : 0128093382
Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data, as well as expertise in software engineering for cloud and big data. This book brings together work across different disciplines in software engineering, including work expanded from conference tracks and workshops led by the editors. - Discusses systematic and disciplined approaches to building software architectures for cloud and big data with state-of-the-art methods and techniques - Presents case studies involving enterprise, business, and government service deployment of big data applications - Shares guidance on theory, frameworks, methodologies, and architecture for cloud and big data
Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Energy and Water Development
Publisher :
Page : 2008 pages
File Size : 50,74 MB
Release : 2005
Category : History
ISBN :
Author : Kamarul Arifin Ahmad
Publisher : Springer Nature
Page : 309 pages
File Size : 14,9 MB
Release :
Category :
ISBN : 9819710170
Author :
Publisher :
Page : 656 pages
File Size : 33,34 MB
Release : 1992
Category : Aeronautics
ISBN :
Author : Wanling Gao
Publisher : Springer Nature
Page : 371 pages
File Size : 44,10 MB
Release : 2020-06-09
Category : Computers
ISBN : 3030495566
This book constitutes the refereed proceedings of the Second International Symposium on Benchmarking, Measuring, and Optimization, Bench 2019, held in Denver, CO, USA, in November 2019. The 20 full papers and 11 short papers presented were carefully reviewed and selected from 79 submissions. The papers are organized in topical sections named: Best Paper Session; AI Challenges on Cambircon using AIBenc; AI Challenges on RISC-V using AIBench; AI Challenges on X86 using AIBench; AI Challenges on 3D Face Recognition using AIBench; Benchmark; AI and Edge; Big Data; Datacenter; Performance Analysis; Scientific Computing.
Author :
Publisher :
Page : 74 pages
File Size : 37,88 MB
Release : 1993
Category : Parallel computers
ISBN :
Author : United States. Congress. House. Committee on Appropriations. Subcommittee on Commerce, Justice, Science, and Related Agencies
Publisher :
Page : 1416 pages
File Size : 16,13 MB
Release : 2015
Category : Administrative agencies
ISBN :
Author : Management Association, Information Resources
Publisher : IGI Global
Page : 1538 pages
File Size : 37,92 MB
Release : 2021-05-28
Category : Business & Economics
ISBN : 1799890244
Decision support systems (DSS) are widely touted for their effectiveness in aiding decision making, particularly across a wide and diverse range of industries including healthcare, business, and engineering applications. The concepts, principles, and theories of enhanced decision making are essential points of research as well as the exact methods, tools, and technologies being implemented in these industries. From both a standpoint of DSS interfaces, namely the design and development of these technologies, along with the implementations, including experiences and utilization of these tools, one can get a better sense of how exactly DSS has changed the face of decision making and management in multi-industry applications. Furthermore, the evaluation of the impact of these technologies is essential in moving forward in the future. The Research Anthology on Decision Support Systems and Decision Management in Healthcare, Business, and Engineering explores how decision support systems have been developed and implemented across diverse industries through perspectives on the technology, the utilizations of these tools, and from a decision management standpoint. The chapters will cover not only the interfaces, implementations, and functionality of these tools, but also the overall impacts they have had on the specific industries mentioned. This book also evaluates the effectiveness along with benefits and challenges of using DSS as well as the outlook for the future. This book is ideal for decision makers, IT consultants and specialists, software developers, design professionals, academicians, policymakers, researchers, professionals, and students interested in how DSS is being used in different industries.
