D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 41 Citations 5,782 239 World Ranking 5585 National Ranking 73

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Central processing unit
  • Software

Multi-core processor, Real-time computing, Static timing analysis, Embedded system and Distributed computing are his primary areas of study. His work carried out in the field of Multi-core processor brings together such families of science as Quality of service and Software. Francisco J. Cazorla combines subjects such as System software, Probabilistic logic, Cache algorithms and Cache with his study of Real-time computing.

When carried out as part of a general Static timing analysis research project, his work on Probabilistic timing analysis is frequently linked to work in Extreme value theory, Base and Limit, therefore connecting diverse disciplines of study. Many of his studies involve connections with topics such as System requirements and Embedded system. His study looks at the relationship between Distributed computing and topics such as CPU cache, which overlap with Simultaneous multithreading, Thread and Speedup.

His most cited work include:

  • Hardware support for WCET analysis of hard real-time multicore systems (214 citations)
  • Measurement-Based Probabilistic Timing Analysis for Multi-path Programs (184 citations)
  • Dynamically Controlled Resource Allocation in SMT Processors (157 citations)

What are the main themes of his work throughout his whole career to date?

Francisco J. Cazorla mainly investigates Embedded system, Multi-core processor, Software, Static timing analysis and Parallel computing. His study in Embedded system is interdisciplinary in nature, drawing from both Dram, Scheduling, Worst-case execution time and Real-time computing. His research investigates the connection between Multi-core processor and topics such as Distributed computing that intersect with problems in Resource allocation.

His Software study combines topics from a wide range of disciplines, such as Domain, Software engineering, Reliability engineering and Resource. His Static timing analysis study combines topics in areas such as Probabilistic logic, Probabilistic analysis of algorithms and Jitter. He has included themes like Multithreading and Thread in his Parallel computing study.

He most often published in these fields:

  • Embedded system (37.14%)
  • Multi-core processor (33.47%)
  • Software (32.24%)

What were the highlights of his more recent work (between 2017-2021)?

  • Software (32.24%)
  • Multi-core processor (33.47%)
  • Static timing analysis (27.35%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Software, Multi-core processor, Static timing analysis, Embedded system and Distributed computing. His biological study spans a wide range of topics, including Domain, Software engineering, Parallel computing, Resource and Functional safety. His Multi-core processor study also includes fields such as

  • Computer hardware, which have a strong connection to Integrated circuit design and Cache coherence,
  • Task analysis that connect with fields like Computer network.

His Static timing analysis study integrates concerns from other disciplines, such as Cache, Probabilistic logic, Event, Focus and Data science. As a part of the same scientific family, Francisco J. Cazorla mostly works in the field of Embedded system, focusing on Worst-case execution time and, on occasion, Cache hierarchy, Embedded applications and Supercomputer. His Distributed computing research is multidisciplinary, incorporating perspectives in Multicore systems, Scheduling, Bandwidth allocation and Request distribution.

Between 2017 and 2021, his most popular works were:

  • Probabilistic Worst-Case Timing Analysis: Taxonomy and Comprehensive Survey (23 citations)
  • Generating and Exploiting Deep Learning Variants to Increase Heterogeneous Resource Utilization in the NVIDIA Xavier (12 citations)
  • Safety-Related Challenges and Opportunities for GPUs in the Automotive Domain (9 citations)

In his most recent research, the most cited papers focused on:

  • Operating system
  • Central processing unit
  • Software

Francisco J. Cazorla spends much of his time researching Software, Multi-core processor, Embedded system, Task analysis and Domain. His Software research incorporates elements of Software engineering and Reliability engineering, Functional safety. His Multi-core processor study is related to the wider topic of Parallel computing.

His Embedded system research focuses on Real-time computing and how it connects with Static timing analysis. His Task analysis research includes elements of Computer network and Software development. The concepts of his Domain study are interwoven with issues in Software design and Systems engineering.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Hardware support for WCET analysis of hard real-time multicore systems

Marco Paolieri;Eduardo Quiñones;Francisco J. Cazorla;Guillem Bernat.
international symposium on computer architecture (2009)

339 Citations

Measurement-Based Probabilistic Timing Analysis for Multi-path Programs

Liliana Cucu-Grosjean;Luca Santinelli;Michael Houston;Code Lo.
euromicro conference on real-time systems (2012)

306 Citations

Dynamically Controlled Resource Allocation in SMT Processors

Francisco J. Cazorla;Alex Ramirez;Mateo Valero;Enrique Fernandez.
international symposium on microarchitecture (2004)

241 Citations

Merasa: Multicore Execution of Hard Real-Time Applications Supporting Analyzability

T Ungerer;Francisco J Cazorla;P Sainrat;G Bernat.
IEEE Micro (2010)

222 Citations

PROARTIS: Probabilistically Analyzable Real-Time Systems

Francisco J. Cazorla;Eduardo Quiñones;Tullio Vardanega;Liliana Cucu.
ACM Transactions in Embedded Computing Systems (2013)

205 Citations

An Analyzable Memory Controller for Hard Real-Time CMPs

M. Paolieri;E. Quinones;F.J. Cazorla;M. Valero.
IEEE Embedded Systems Letters (2009)

201 Citations

Multicore Resource Management

K.J. Nesbit;M. Moreto;F.J. Cazorla;A. Ramirez.
IEEE Micro (2008)

147 Citations

Predictable performance in SMT processors: synergy between the OS and SMTs

F.J. Cazorla;P.M.W. Knijnenburg;R. Sakellariou;E. Fernandez.
IEEE Transactions on Computers (2006)

124 Citations

A cache design for probabilistically analysable real-time systems

Leonidas Kosmidis;Jaume Abella;Eduardo Quinones;Francisco J. Cazorla.
design, automation, and test in europe (2013)

122 Citations

WCET analysis methods: Pitfalls and challenges on their trustworthiness

Jaume Abella;Carles Hernandez;Eduardo Quinones;Francisco J. Cazorla.
international symposium on industrial embedded systems (2015)

112 Citations

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