D-Index & Metrics Best Publications

D-Index & Metrics

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 36 Citations 5,570 181 World Ranking 5669 National Ranking 72

Overview

What is he best known for?

The fields of study he is best known for:

  • Operating system
  • Programming language
  • Central processing unit

Xavier Martorell spends much of his time researching Parallel computing, Programming paradigm, Compiler, Programming language and Multi-core processor. The Parallel computing study combines topics in areas such as Computer architecture and Programmer. The concepts of his Programming paradigm study are interwoven with issues in Reconfigurable computing, Systems modeling and Implementation.

His Compiler research is multidisciplinary, relying on both Feature, Set and Kernel. His Multi-core processor research incorporates themes from Perlin noise and Component. His Task parallelism research includes themes of Instruction-level parallelism and Data parallelism.

His most cited work include:

  • OmpSs: A proposal for programming heterogeneous multi-core architectures (441 citations)
  • Barcelona OpenMP Tasks Suite: A Set of Benchmarks Targeting the Exploitation of Task Parallelism in OpenMP (221 citations)
  • Optimization of MPI collective communication on BlueGene/L systems (164 citations)

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

Xavier Martorell mainly focuses on Parallel computing, Programming paradigm, Compiler, Computer architecture and Distributed computing. Xavier Martorell interconnects Programming language, Thread and Programmer in the investigation of issues within Parallel computing. His work in Programming language covers topics such as Parallelism which are related to areas like Symmetric multiprocessor system.

His Programming paradigm research includes elements of Scalability, Set, Shared memory, Embedded system and Task. In his work, Instruction-level parallelism and Data parallelism is strongly intertwined with Task parallelism, which is a subfield of Compiler. His Computer architecture study integrates concerns from other disciplines, such as CPU cache and Cache-only memory architecture.

He most often published in these fields:

  • Parallel computing (69.01%)
  • Programming paradigm (39.44%)
  • Compiler (22.54%)

What were the highlights of his more recent work (between 2015-2021)?

  • Parallel computing (69.01%)
  • Programming paradigm (39.44%)
  • Distributed computing (16.43%)

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

Xavier Martorell mainly investigates Parallel computing, Programming paradigm, Distributed computing, Task and Embedded system. His research in Parallel computing is mostly focused on CUDA. His biological study spans a wide range of topics, including Field-programmable gate array, Scalability, Supercomputer and Computer architecture.

Xavier Martorell works mostly in the field of Distributed computing, limiting it down to topics relating to Cloud computing and, in certain cases, Dataflow. His work deals with themes such as Home automation, Quality of service, Server and Domain, which intersect with Embedded system. His study in Computation is interdisciplinary in nature, drawing from both Volume and Multi-core processor.

Between 2015 and 2021, his most popular works were:

  • The mont-blanc prototype: an alternative approach for HPC systems (50 citations)
  • Hipster: Hybrid Task Manager for Latency-Critical Cloud Workloads (34 citations)
  • CUDAlign 4.0: Incremental Speculative Traceback for Exact Chromosome-Wide Alignment in GPU Clusters (32 citations)

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

  • Operating system
  • Programming language
  • Central processing unit

His primary scientific interests are in Parallel computing, CUDA, Tridiagonal matrix, Implementation and Embedded system. His Parallel computing study incorporates themes from Variable and Scalability. While the research belongs to areas of CUDA, Xavier Martorell spends his time largely on the problem of Parallel algorithm, intersecting his research to questions surrounding Speech processing and General-purpose computing on graphics processing units.

Xavier Martorell has researched Implementation in several fields, including Volume, Set, Computation and Multi-core processor. His Multi-core processor study combines topics in areas such as Kernel and Computational science. His research investigates the connection between Embedded system and topics such as Domain that intersect with issues in Functional safety, Reliability, Compiler and Correctness.

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

OmpSs: A proposal for programming heterogeneous multi-core architectures

Alejandro Duran;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Jesús Labarta.
Parallel Processing Letters (2011)

735 Citations

Barcelona OpenMP Tasks Suite: A Set of Benchmarks Targeting the Exploitation of Task Parallelism in OpenMP

Alejandro Duran;Xavier Teruel;Roger Ferrer;Xavier Martorell.
international conference on parallel processing (2009)

320 Citations

Optimization of MPI collective communication on BlueGene/L systems

George Almási;Philip Heidelberger;Charles J. Archer;Xavier Martorell.
international conference on supercomputing (2005)

226 Citations

Productive Programming of GPU Clusters with OmpSs

Javier Bueno;Judit Planas;Alejandro Duran;Rosa M. Badia.
international parallel and distributed processing symposium (2012)

201 Citations

Decomposable and responsive power models for multicore processors using performance counters

Ramon Bertran;Marc Gonzalez;Xavier Martorell;Nacho Navarro.
international conference on supercomputing (2010)

198 Citations

Nanos mercurium: A research compiler for OpenMP

J. Balart;A. Duran;M. Gon;X. Martorell.
(2004)

157 Citations

Productive cluster programming with OmpSs

Javier Bueno;Luis Martinell;Alejandro Duran;Montse Farreras.
international conference on parallel processing (2011)

135 Citations

Thread fork/join techniques for multi-level parallelism exploitation in NUMA multiprocessors

Xavier Martorell;Eduard Ayguadé;Nacho Navarro;Julita Corbalán.
international conference on supercomputing (1999)

112 Citations

A Proposal to Extend the OpenMP Tasking Model for Heterogeneous Architectures

Eduard Ayguade;Rosa M. Badia;Daniel Cabrera;Alejandro Duran.
international workshop on openmp (2009)

104 Citations

Extending OpenMP to survive the heterogeneous multi-core era

Eduard Ayguadé;Eduard Ayguadé;Rosa M. Badia;Rosa M. Badia;Pieter Bellens;Daniel Cabrera.
International Journal of Parallel Programming (2010)

100 Citations

Best Scientists Citing Xavier Martorell

Jesús Labarta

Jesús Labarta

Barcelona Supercomputing Center

Publications: 82

Eduard Ayguadé

Eduard Ayguadé

Barcelona Supercomputing Center

Publications: 75

Rosa M. Badia

Rosa M. Badia

Barcelona Supercomputing Center

Publications: 52

Mateo Valero

Mateo Valero

Barcelona Supercomputing Center

Publications: 51

Dimitrios S. Nikolopoulos

Dimitrios S. Nikolopoulos

Virginia Tech

Publications: 39

Barbara Chapman

Barbara Chapman

Stony Brook University

Publications: 30

Luca Benini

Luca Benini

University of Bologna

Publications: 27

Vivek Sarkar

Vivek Sarkar

Georgia Institute of Technology

Publications: 25

Bronis R. de Supinski

Bronis R. de Supinski

Lawrence Livermore National Laboratory

Publications: 21

Jack Dongarra

Jack Dongarra

University of Tennessee at Knoxville

Publications: 20

Thomas Fahringer

Thomas Fahringer

University of Innsbruck

Publications: 20

Alan Gara

Alan Gara

IBM (United States)

Publications: 17

Enrique S. Quintana-Ortí

Enrique S. Quintana-Ortí

Universitat Politècnica de València

Publications: 16

Pavan Balaji

Pavan Balaji

Argonne National Laboratory

Publications: 16

Sameer Kumar

Sameer Kumar

Google (United States)

Publications: 15

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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