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Olmedo, Ignacio Sanudo
38  Ergebnisse:
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1

A survey on real-time DAG scheduling, revisiting the Global..:

Verucchi, Micaela ; Olmedo, Ignacio Sañudo ; Bertogna, Marko
Real-Time Systems.  59 (2023)  3 - p. 479-530 , 2023
Link: https://doi.org/10.1007/..
 
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2

Memory-Aware Latency Prediction Model for Concurrent Kernel..:

, In: Job Scheduling Strategies for Parallel Processing; Lecture Notes in Computer Science,
Masola, Alessio ; Capodieci, Nicola ; Cavicchioli, Roberto.. - p. 46-73 , 2023
Link: https://doi.org/10.1007/..
 
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3

SPHERE: A Multi-SoC Architecture for Next-Generation Cyber-..:

Biondi, Alessandro ; Casini, Daniel ; Cicero, Giorgiomaria...
IEEE Access.  9 (2021)  - p. 75446-75459 , 2021
Link: https://doi.org/10.1109/..
 
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4

Contention-Aware GPU Partitioning and Task-to-Partition All..:

, In: 29th International Conference on Real-Time Networks and Systems,
Zahaf, Houssam-Eddine ; Olmedo, Ignacio Sanudo ; Singh, Jayati.. - p. 226-236 , 2021
Link: https://dl.acm.org/doi/1..
 
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5

Contending memory in heterogeneous SoCs: Evolution in NVIDI..:

, In: 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA),
Capodieci, Nicola ; Cavicchioli, Roberto ; Olmedo, Ignacio Sanudo.. - p. 1-10 , 2020
Link: https://doi.org/10.1109/..
 
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6

Introducing a Deferrable Server into AUTOSAR:

, In: 2020 IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA),
Martinez Garcia, Jorge Luis ; Olmedo, Ignacio Sanudo - p. 1-6 , 2020
Link: https://doi.org/10.1109/..
 
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7

Dissecting the CUDA scheduling hierarchy: a Performance and..:

, In: 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS),
Olmedo, Ignacio Sanudo ; Capodieci, Nicola ; Martinez, Jorge Luis.. - p. 213-225 , 2020
Link: https://doi.org/10.1109/..
 
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8

CERBERUS: Simple and Effective All-In-One Automotive Percep..:

Scribano, Carmelo ; Franchini, Giorgia ; Olmedo, Ignacio Sañudo.
http://arxiv.org/abs/2210.00756.  , 2022
Link: http://arxiv.org/abs/221..
 
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9

Contention-Aware GPU Partitioning and Task-to-Partition All..:

Zahaf, Houssam-Eddine ; Olmedo, Ignacio Sanudo ; Singh, Jayati..
http://arxiv.org/abs/2105.10312.  , 2021
Link: http://arxiv.org/abs/210..
 
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10

A Software Stack for Next-Generation Automotive Systems on ..:

BURGIO, PAOLO ; BERTOGNA, Marko ; Olmedo, Ignacio Sanudo...
info:eu-repo/semantics/altIdentifier/isbn/978-1-5090-2817-7.  , 2016
Link: http://hdl.handle.net/11..
 
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11

Memory-Aware Latency Prediction Model for Concurrent Kernel..:

Masola, Alessio ; Capodieci, Nicola ; Cavicchioli, Roberto..
info:eu-repo/grantAgreement/EC/H2020/101007311/.  , 2023
Link: https://zenodo.org/recor..
 
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12

SPHERE: A Multi-SoC Architecture for Next-Generation Cyber-..:

Alessandro Biondi ; Daniel Casini ; Giorgiomaria Cicero...
https://ieeexplore.ieee.org/document/9432853/.  , 2021
Link: https://doi.org/10.1109/..
 
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13

A Perspective on Safety and Real-Time Issues for GPU Accele..:

Sanudo Olmedo, Ignacio ; Nicola Capodieci ; Roberto Cavicchioli
info:eu-repo/semantics/altIdentifier/wos/WOS:000505811104004.  , 2018
Link: http://hdl.handle.net/11..
 
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14

Predictable Communication Semantics For Industrial Real-Tim..:

SANUDO OLMEDO, Ignacio
http://hdl.handle.net/11392/2487980.  , 2018
Link: http://hdl.handle.net/11..
 
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15

Nivel de actividad física, calidad de vida y niveles de dep..:

Sañudo, José Ignacio ; Corrales-Sánchez, Rosario ; Sañudo, Borja
Escritos de Psicología - Psychological Writings.  6 (2013)  2 - p. 53-60 , 2013
Link: https://doi.org/10.24310..
 
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