Extending parallel programming patterns with adaptability features

Today, all computers have some degree of usable parallelism. Modern computers are explicitly equipped with hardware support for parallelism, such as multiple nodes, multicores, multiple CPUs, and accelerators. At the same time, the Cloud Continuum has become a viable platform for running parallel ap...

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Vydáno v:	Cluster computing Ročník 27; číslo 9; s. 12547 - 12568
Hlavní autoři:	Galante, Guilherme, da Rosa Righi, Rodrigo, de Andrade, Cristiane
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York Springer US 01.12.2024 Springer Nature B.V
Témata:	Adaptability Cloud computing Computer Communication Networks Computer Science Design Efficiency Fault tolerance High performance computing Operating Systems Parallel processing Parallel programming Processor Architectures Software Elasticity Parallel computing Design patterns Parallel applications Compute continuum Adaptability
ISSN:	1386-7857, 1573-7543
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Abstract	Today, all computers have some degree of usable parallelism. Modern computers are explicitly equipped with hardware support for parallelism, such as multiple nodes, multicores, multiple CPUs, and accelerators. At the same time, the Cloud Continuum has become a viable platform for running parallel applications. Building software for these parallel and distributed platforms can be challenging due to the numerous considerations programmers must make during the development process. With this in mind, the high-performance computing literature proposed the concept of parallel patterns to hide some complexities. However, there are no patterns that address the design and creation of adaptive applications. Taking the compute continuum era in mind, we present how adaptability features can be explored within each parallel programming pattern, providing technical details on managing dynamic resources and handling changes in application behavior. In addition to this contribution, we also address practical implications by presenting some frameworks that can be used to implement adaptive applications and examples of using them with the proposed patterns.
AbstractList	Today, all computers have some degree of usable parallelism. Modern computers are explicitly equipped with hardware support for parallelism, such as multiple nodes, multicores, multiple CPUs, and accelerators. At the same time, the Cloud Continuum has become a viable platform for running parallel applications. Building software for these parallel and distributed platforms can be challenging due to the numerous considerations programmers must make during the development process. With this in mind, the high-performance computing literature proposed the concept of parallel patterns to hide some complexities. However, there are no patterns that address the design and creation of adaptive applications. Taking the compute continuum era in mind, we present how adaptability features can be explored within each parallel programming pattern, providing technical details on managing dynamic resources and handling changes in application behavior. In addition to this contribution, we also address practical implications by presenting some frameworks that can be used to implement adaptive applications and examples of using them with the proposed patterns.
Author	de Andrade, Cristiane Galante, Guilherme da Rosa Righi, Rodrigo
Author_xml	– sequence: 1 givenname: Guilherme surname: Galante fullname: Galante, Guilherme email: guilherme.galante@unioeste.br organization: PPGComp, Unioeste – sequence: 2 givenname: Rodrigo surname: da Rosa Righi fullname: da Rosa Righi, Rodrigo organization: PPGCA, Unisinos – sequence: 3 givenname: Cristiane surname: de Andrade fullname: de Andrade, Cristiane organization: PPGComp, Unioeste
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SubjectTerms	Adaptability Cloud computing Computer Communication Networks Computer Science Design Efficiency Fault tolerance High performance computing Operating Systems Parallel processing Parallel programming Processor Architectures Software
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Title	Extending parallel programming patterns with adaptability features
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