Pegasus: Performance Engineering for Software Applications Targeting HPC Systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250100" target="_blank" >RIV/61989100:27740/22:10250100 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/9113456" target="_blank" >https://ieeexplore.ieee.org/document/9113456</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSE.2020.3001257" target="_blank" >10.1109/TSE.2020.3001257</a>
Alternative languages
Result language
angličtina
Original language name
Pegasus: Performance Engineering for Software Applications Targeting HPC Systems
Original language description
Developing and optimizing software applications for high performance and energy efficiency is a very challenging task, even when considering a single target machine. For instance, optimizing for multicore-based computing systems requires in-depth knowledge about programming languages, application programming interfaces (APIs), compilers, performance tuning tools, and computer architecture and organization. Many of the tasks of performance engineering methodologies require manual efforts and the use of different tools not always part of an integrated toolchain. This paper presents Pegasus, a performance engineering approach supported by a framework that consists of a source-to-source compiler, controlled and guided by strategies programmed in a Domain-Specific Language, and an autotuner. Pegasus is a holistic and versatile approach spanning various decision layers composing the software stack, and exploiting the system capabilities and workloads effectively through the use of runtime autotuning. The Pegasus approach helps developers by automating tasks regarding the efficient implementation of software applications in multicore computing systems. These tasks focus on application analysis, profiling, code transformations, and the integration of runtime autotuning. Pegasus allows developers to program their strategies or to automatically apply existing strategies to software applications in order to ensure the compliance of non-functional requirements, such as performance and energy efficiency. We show how to apply Pegasus and demonstrate its applicability and effectiveness in a complex case study, which includes tasks from a smart navigation system.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Software Engineering
ISSN
0098-5589
e-ISSN
1939-3520
Volume of the periodical
48
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
23
Pages from-to
732-754
UT code for WoS article
000769989900001
EID of the result in the Scopus database
2-s2.0-85086722258