The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10239819" target="_blank" >RIV/61989100:27740/18:10239819 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8344645" target="_blank" >https://ieeexplore.ieee.org/document/8344645</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SAMOS.2017.8344645" target="_blank" >10.1109/SAMOS.2017.8344645</a>
Alternative languages
Result language
angličtina
Original language name
The ANTAREX tool flow for monitoring and autotuning energy efficient HPC systems
Original language description
Designing and optimizing HPC applications are difficult and complex tasks, which require mastering specialized languages and tools for performance tuning. As this is incompatible with the current trend to open HPC infrastructures to a wider range of users, the availability of more sophisticated programming languages and tools to assist and automate the design stages is crucial to provide smoothly migration paths towards novel heterogeneous HPC platforms. The ANTAREX project intends to address these issues by providing a tool flow, a Domain Specific Launguage and APIs to provide application's adaptivity and to runtime manage and autotune applications for heterogeneous HPC systems. Our DSL provides a separation of concerns, where analysis, runtime adaptivity, performance tuning and energy strategies are specified separately from the application functionalities with the goal to increase productivity, significantly reduce time to solution, while making possible the deployment of substantially improved implementations. This paper presents the ANTAREX tool flow and shows the impact of optimization strategies in the context of one of the ANTAREX use cases related to personalized drug design. We show how simple strategies, not devised by typical compilers, can substantially speedup the execution and reduce energy consumption. (C) 2017 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 2017 17th International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation, SAMOS 2017
ISBN
978-1-5386-3437-0
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
308-316
Publisher name
IEEE
Place of publication
Piscataway
Event location
Samos
Event date
Jul 16, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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