Introduction to parallel programming:
"Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while e...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York, NY ; Melbourne
Cambridge University Press
2022
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| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Summary: | "Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while executing a program. In modern computer science, there exists no truly sequential computing system. While sequential programming can still be used due to the parallelism built into the compilers and OS, for most advanced programming, parallel programming is rapidly becoming essential. This is most evident in modern application domains like scientific computation, data science, machine intelligence, etc. As a result, parallel programming is increasingly being offered as an elective course in most undergraduate computer science and engineering programs. This book intends to introduce a beginner to the gamut of parallel programming and will be useful for undergraduate students of computer science and engineering"-- |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | xx, 282 Seiten Diagramme |
| ISBN: | 9781009069533 |
Staff View
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| 520 | 3 | |a "Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while executing a program. In modern computer science, there exists no truly sequential computing system. While sequential programming can still be used due to the parallelism built into the compilers and OS, for most advanced programming, parallel programming is rapidly becoming essential. This is most evident in modern application domains like scientific computation, data science, machine intelligence, etc. As a result, parallel programming is increasingly being offered as an elective course in most undergraduate computer science and engineering programs. This book intends to introduce a beginner to the gamut of parallel programming and will be useful for undergraduate students of computer science and engineering"-- | |
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Record in the Search Index
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| author | Kumar, Subodh |
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| classification_rvk | ST 151 ST 230 |
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| dewey-full | 005.2/75 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.2/75 |
| dewey-search | 005.2/75 |
| dewey-sort | 15.2 275 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| format | Book |
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| id | DE-604.BV049085508 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:28:32Z |
| indexdate | 2024-07-10T09:54:54Z |
| institution | BVB |
| isbn | 9781009069533 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034347359 |
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| physical | xx, 282 Seiten Diagramme |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | Cambridge University Press |
| record_format | marc |
| spelling | Kumar, Subodh Verfasser (DE-588)1280015535 aut Introduction to parallel programming Subodh Kumar Cambridge ; New York, NY ; Melbourne Cambridge University Press 2022 xx, 282 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index "Traditionally computers have been machines that operate processes in parallel. Even the earliest computers were made from parts that worked together, collaboratively and simultaneously. Processors today consist of more than a billion transistors, many of which are active simultaneously while executing a program. In modern computer science, there exists no truly sequential computing system. While sequential programming can still be used due to the parallelism built into the compilers and OS, for most advanced programming, parallel programming is rapidly becoming essential. This is most evident in modern application domains like scientific computation, data science, machine intelligence, etc. As a result, parallel programming is increasingly being offered as an elective course in most undergraduate computer science and engineering programs. This book intends to introduce a beginner to the gamut of parallel programming and will be useful for undergraduate students of computer science and engineering"-- Parallelverarbeitung (DE-588)4075860-6 gnd rswk-swf Programmierung (DE-588)4076370-5 gnd rswk-swf Parallel programming (Computer science) COMPUTERS / General Parallelverarbeitung (DE-588)4075860-6 s Programmierung (DE-588)4076370-5 s DE-604 Erscheint auch als Online-Ausgabe 978-1-009-07131-4 DE-601 application/pdf http://www.gbv.de/dms/weimar/toc/1786397242_toc.pdf Inhaltsverzeichnis |
| spellingShingle | Kumar, Subodh Introduction to parallel programming Parallelverarbeitung (DE-588)4075860-6 gnd Programmierung (DE-588)4076370-5 gnd |
| subject_GND | (DE-588)4075860-6 (DE-588)4076370-5 |
| title | Introduction to parallel programming |
| title_auth | Introduction to parallel programming |
| title_exact_search | Introduction to parallel programming |
| title_exact_search_txtP | Introduction to parallel programming |
| title_full | Introduction to parallel programming Subodh Kumar |
| title_fullStr | Introduction to parallel programming Subodh Kumar |
| title_full_unstemmed | Introduction to parallel programming Subodh Kumar |
| title_short | Introduction to parallel programming |
| title_sort | introduction to parallel programming |
| topic | Parallelverarbeitung (DE-588)4075860-6 gnd Programmierung (DE-588)4076370-5 gnd |
| topic_facet | Parallelverarbeitung Programmierung |
| url | http://www.gbv.de/dms/weimar/toc/1786397242_toc.pdf |
| work_keys_str_mv | AT kumarsubodh introductiontoparallelprogramming |