What is he best known for?
The fields of study he is best known for:
- Operating system
- Central processing unit
- Programming language
Mateo Valero mostly deals with Parallel computing, Operating system, Instruction set, Embedded system and Multithreading.
His Parallel computing study focuses on Cache in particular.
His study in Operating system is interdisciplinary in nature, drawing from both Transactional memory, Commit and Transaction processing.
His Instruction set study combines topics from a wide range of disciplines, such as Scheme and Implementation.
In his study, Flexibility, Sensitivity, CPU power dissipation and Frequency scaling is strongly linked to Supercomputer, which falls under the umbrella field of Embedded system.
His Processor register study incorporates themes from Register file and Instruction register.
His most cited work include:
- The International Exascale Software Project roadmap (580 citations)
- Multiple-banked register file architectures (434 citations)
- Parallel Computer Architecture (280 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Parallel computing, Embedded system, Distributed computing, Operating system and Scheduling.
His Parallel computing study integrates concerns from other disciplines, such as Scalability and Thread.
His research in the fields of Multithreading overlaps with other disciplines such as Fetch.
His research integrates issues of Supercomputer, Computer network and Programming paradigm in his study of Distributed computing.
His biological study spans a wide range of topics, including Transactional memory, Database transaction and Register file.
His research in Instruction set intersects with topics in Software and Processor register.
He most often published in these fields:
- Parallel computing (47.89%)
- Embedded system (15.41%)
- Distributed computing (15.96%)
What were the highlights of his more recent work (between 2013-2021)?
- Parallel computing (47.89%)
- Distributed computing (15.96%)
- Embedded system (15.41%)
In recent papers he was focusing on the following fields of study:
Mateo Valero spends much of his time researching Parallel computing, Distributed computing, Embedded system, Scheduling and Runtime system.
His work deals with themes such as Scalability, Thread and Programming paradigm, which intersect with Parallel computing.
The various areas that Mateo Valero examines in his Distributed computing study include Supercomputer, Adaptive routing and Node, Computer network, Interconnection.
His work carried out in the field of Embedded system brings together such families of science as Dram, Interleaved memory and Memory controller.
His research investigates the connection between Scheduling and topics such as Multi-core processor that intersect with issues in Energy accounting.
His Runtime system research also works with subjects such as
- Software that connect with fields like Task parallelism, Instruction set and Parallel programming model,
- Interface which intersects with area such as Resilience.
Between 2013 and 2021, his most popular works were:
- Enabling preemptive multiprogramming on GPUs (145 citations)
- Alya: Multiphysics engineering simulation toward exascale (84 citations)
- The mont-blanc prototype: an alternative approach for HPC systems (50 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Central processing unit
- Programming language
His primary scientific interests are in Parallel computing, Distributed computing, Runtime system, Supercomputer and Scalability.
His Parallel computing research is multidisciplinary, relying on both Scheduling and Thread.
His Distributed computing research includes themes of System software, Network topology, Computer network, Interconnection and Programming paradigm.
His Runtime system research integrates issues from Computer architecture, Source code, Exploit, Multi-core processor and Data structure.
His studies in Supercomputer integrate themes in fields like Domain, Xeon Phi, Leverage, Parallel processing and Flexibility.
The concepts of his Scalability study are interwoven with issues in Software and Software deployment.
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