Francisco J. Cazorla
researcher (ORCID 0000-0002-3344-376X)
Facts
9 properties- Instance of
- human
- Occupation
- researcher
- Doctoral advisor
- Mateo Valero Cortés, Alex Ramírez[3][4]
- Doctoral student
- Suzana Milutinovic, Carlos Luque, Petar Radojkovic, Marco Paolieri, Miquel Moreto Planas, Carlos Boneti, Carmelo Alexis Acosta Ojeda, Gabriel Alejandro Fernández Díaz, Irune Agirre, Milos Panic, Mladen Slijepcevic, Leonidas Kosmidis, Víctor Javier Jiménez Pérez, Javier Jalle, Qixiao Liu[6][7][8][9][10][11][12][13][14][15][16][17][18][19]
- Maintained by WikiProject
- WikiProject Mathematics[22]
🏷️ Also known as
en Francisco Cazorla
en Francisco Javier Cazorla Almeida
en Francisco J. Cazorla
🔖 Identifiers · 10
- ORCID iD
- 0000-0002-3344-376X
- VIAF cluster ID
- 309573311
- ACM Digital Library author ID
- 81100061338
- CANTIC ID
- 981058511568006706
- DBLP author ID
- 52/1629
- Dimensions author ID
- 011525543055.25
- Google Scholar author ID
- yhrbuhAAAAAJ
- ResearcherID
- D-7261-2016
- Scopus author ID
- 55129883300
- ZbMATH author ID
- cazorla.francisco-j
🔗 Connections
Author of 17
EPC: Extended Path Coverage for Measurement-Based Probabilistic Timing Analysis,
Fitting processor architectures for measurement-based probabilistic timing analysis,
Fitting Software Execution-Time Exceedance into a Residual Random Fault in ISO-26262,
Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier,
IEC-61508 SIL 3 Compliant Pseudo-Random Number Generators for Probabilistic Timing Analysis,
Measurement-Based Timing Analysis of the AURIX Caches,
Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation,
Modelling Probabilistic Cache Representativeness in the Presence of Arbitrary Access Patterns
+9 more
← Authored by 17
EPC: Extended Path Coverage for Measurement-Based Probabilistic Timing Analysis,
Fitting processor architectures for measurement-based probabilistic timing analysis,
Fitting Software Execution-Time Exceedance into a Residual Random Fault in ISO-26262,
Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier,
IEC-61508 SIL 3 Compliant Pseudo-Random Number Generators for Probabilistic Timing Analysis,
Measurement-Based Timing Analysis of the AURIX Caches,
Measurement-Based Worst-Case Execution Time Estimation Using the Coefficient of Variation,
Modelling Probabilistic Cache Representativeness in the Presence of Arbitrary Access Patterns
+9 more
Press Enter · cited answer in seconds