The AMPERE Project: : A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization-Reference-Cited by-同舟云学术

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The AMPERE Project: : A Model-driven development framework for highly Parallel and EneRgy-Efficient computation supporting multi-criteria optimization

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE 23rd International Symposium on Real-Time Distributed Computing (ISORC)
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Author:

Quinones Eduardo,Royuela Sara,Scordino Claudio,Gai Paolo,Pinho Luis Miguel,Nogueira Luis,Rollo Jan,Cucinotta Tommaso,Biondi Alessandro,Hamann Arne,Ziegenbein Dirk,Saoud Hadi,Soulat Romain,Forsberg Bjorn,Benini Luca,Mando Gianluca,Rucher Luigi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9108349/9112864/09113000.pdf?arnumber=9113000

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3. Time-predictable task-to-thread mapping in multi-core processors;Journal of Systems Architecture;2024-03

4. Multi-criteria Optimization of Real-time DAGs on Heterogeneous Platforms under P-EDF;ACM Transactions on Embedded Computing Systems;2024-01-10

5. Fine-grained adaptive parallelism for automotive systems through AMALTHEA and OpenMP;Journal of Systems Architecture;2024-01

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