Developing Linear Algebra Codes on Modern Processors | Emerging Research and Opportunities

Sandra Catalán Pallarés (u. a.)

ISBN 10: 1799870820 / ISBN 13: 9781799870821

Published by IGI Global, 2022

About this Item

Developing Linear Algebra Codes on Modern Processors | Emerging Research and Opportunities | Sandra Catalán Pallarés (u. a.) | Buch | Gebunden | Englisch | 2022 | IGI Global | EAN 9781799870821 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Seller Inventory # 125879309

Bibliographic Details

• Title: Developing Linear Algebra Codes on Modern Processors | Emerging Research and Opportunities
• Publisher: IGI Global
• Publication Date: 2022
• Language: English
• ISBN 10: 1799870820
• ISBN 13: 9781799870821
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 20D millimeters 260 millimeters width by 183 millimeters height by 20 millimeters depth
• Weight: 741 grams
• Seller catalogs:
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Synopsis

Optimized linear algebra (LA) libraries that are able to exploit the underlying hardware are always of interest in the high-performance computing community. The implementation of LA software has evolved along with computer architecture, while the specification remains unaltered almost from the beginning. It is important to differentiate between the specification of LA libraries and their implementation. Because LA libraries pursue high performance, the implementation for a given architecture needs to be optimized for it specifically. However, the type of operations included in the libraries, the input/output parameters, and the data types to be handled are common to all of them. This is why, while the specification remains constant, the implementation evolves with the creation of new architectures. Developing Linear Algebra Codes on Modern Processors: Emerging Research and Opportunities presents the main characteristics of LA libraries, showing the differences between the standards for sparse and dense versions. It further explores relevant linear algebra problems and shows, in a clear and understandable way, how to solve them using different computer architectures. Covering topics such as programming models, batched computing, and distributed memory platforms, this premier reference source is an excellent resource for programmers, computer scientists, engineers, students and faculty of higher education, librarians, researchers, and academicians.