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The RECIPE approach to challenges in deeply heterogeneous high performance systems

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The RECIPE approach to challenges in deeply heterogeneous high performance systems

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Agosta, G.; Fornaciari, W.; Atienza, D.; Canal, R.; Cilardo, A.; Flich Cardo, J.; Hernández Luz, C.... (2020). The RECIPE approach to challenges in deeply heterogeneous high performance systems. Microprocessors and Microsystems. 77:1-13. https://doi.org/10.1016/j.micpro.2020.103185

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/166916

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Title: The RECIPE approach to challenges in deeply heterogeneous high performance systems
Author: Agosta, Giovanni Fornaciari, William Atienza, David Canal, Ramon Cilardo, Alessandro Flich Cardo, José Hernández Luz, Carles Kulczewski, Michal Massari, Giuseppe Tornero-Gavilá, Rafael Zapater, Marina
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Embargo end date: 2022-06-26
Abstract:
[EN] RECIPE (REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems) is a recently started project funded within the H2020 FETHPC programme, which is expressly targeted at exploring ...[+]
Subjects: HPC , Heterogeneous computing , Run-time management
Copyrigths: Embargado
Source:
Microprocessors and Microsystems. (issn: 0141-9331 )
DOI: 10.1016/j.micpro.2020.103185
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.micpro.2020.103185
Project ID:
info:eu-repo/grantAgreement/EC/H2020/801137/EU/REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systems/
Thanks:
The activities described in this article received funding from the European Union's Horizon 2020 research and innovation programme under the FETHPC grant agreement no. 801137 RECIPE: REliable power and time-ConstraInts-aware ...[+]
Type: Artículo

References

Flich, J., Agosta, G., Ampletzer, P., Alonso, D. A., Brandolese, C., Cappe, E., … Zoni, D. (2018). Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocessors and Microsystems, 61, 154-170. doi:10.1016/j.micpro.2018.05.011

https://euroexa.eu.

https://www.altera.com/products/sip/memory/stratix-10-mx/overview.html. [+]
Flich, J., Agosta, G., Ampletzer, P., Alonso, D. A., Brandolese, C., Cappe, E., … Zoni, D. (2018). Exploring manycore architectures for next-generation HPC systems through the MANGO approach. Microprocessors and Microsystems, 61, 154-170. doi:10.1016/j.micpro.2018.05.011

https://euroexa.eu.

https://www.altera.com/products/sip/memory/stratix-10-mx/overview.html.

http://www.mango-project.eu.

https://www.infinibandta.org/infiniband-roadmap/.

Reghenzani, F., Massari, G., & Fornaciari, W. (2018). chronovise: Measurement-Based Probabilistic Timing Analysis framework. Journal of Open Source Software, 3(28), 711. doi:10.21105/joss.00711

Abella, J., Padilla, M., Castillo, J. D., & Cazorla, F. J. (2017). Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation. ACM Transactions on Design Automation of Electronic Systems, 22(4), 1-29. doi:10.1145/3065924

https://lanl.gov/projects/trinity/specifications.php.

https://www.bsc.es/marenostrum/marenostrum/technical-information.

https://www.olcf.ornl.gov/olcf-resources/compute-systems/titan/.

Bellasi, P., Massari, G., & Fornaciari, W. (2015). Effective Runtime Resource Management Using Linux Control Groups with the BarbequeRTRM Framework. ACM Transactions on Embedded Computing Systems, 14(2), 1-17. doi:10.1145/2658990

Egwutuoha, I. P., Levy, D., Selic, B., & Chen, S. (2013). A survey of fault tolerance mechanisms and checkpoint/restart implementations for high performance computing systems. The Journal of Supercomputing, 65(3), 1302-1326. doi:10.1007/s11227-013-0884-0

Lee, K., & Wong, S. S. (2017). Fault-Tolerant FPGA with Column-Based Redundancy and Power Gating Using RRAM. IEEE Transactions on Computers, 66(6), 946-956. doi:10.1109/tc.2016.2634533

Cheatham, J. A., Emmert, J. M., & Baumgart, S. (2006). A survey of fault tolerant methodologies for FPGAs. ACM Transactions on Design Automation of Electronic Systems, 11(2), 501-533. doi:10.1145/1142155.1142167

Parris, M. G., Sharma, C. A., & Demara, R. F. (2011). Progress in autonomous fault recovery of field programmable gate arrays. ACM Computing Surveys, 43(4), 1-30. doi:10.1145/1978802.1978810

A. Iranfar, F. Terraneo, W.A. Simon, L. Dragic, I. Pilji, M. Zapater Sancho, W. Fornaciari, M. Kovac, D. Atienza Alonso, Thermal characterization of next-generation workloads on heterogeneous MPSoCs (2017).

Zoni, D., & Fornaciari, W. (2015). Modeling DVFS and Power-Gating Actuators for Cycle-Accurate NoC-Based Simulators. ACM Journal on Emerging Technologies in Computing Systems, 12(3), 1-24. doi:10.1145/2751561

Curtsinger, C., & Berger, E. D. (2013). STABILIZER. ACM SIGARCH Computer Architecture News, 41(1), 219-228. doi:10.1145/2490301.2451141

Kormann, J., Rodríguez, J. E., Gutierrez, N., Ferrer, M., Rojas, O., de la Puente, J., … Cela, J. M. (2016). Toward an automatic full-wave inversion: Synthetic study cases. The Leading Edge, 35(12), 1047-1052. doi:10.1190/tle35121047.1

Fusi, M., Mazzocchetti, F., Farres, A., Kosmidis, L., Canal, R., Cazorla, F. J., & Abella, J. (2020). On the Use of Probabilistic Worst-Case Execution Time Estimation for Parallel Applications in High Performance Systems. Mathematics, 8(3), 314. doi:10.3390/math8030314

D.W. Wright, R.A. Richardson, W. Edeling, J. Lakhlili, R.C. Sinclair, V. Jacauskas, D. Suleimenova, B. Bosak, M. Kulczewski, T. Piontek, P. Kopta, I. Chirca, H. Arabnejad, O.O. Luk, O. Hoenen, J. Weglarz, D. Crommelin, D. Groen, Building confidence in simulation: Application of easyvvuq, Submitted to Journal of Advanced Theory and Simulations on 12/12/2019.

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