E
Eduard Ayguadé
Researcher at Barcelona Supercomputing Center
Publications - 431
Citations - 9883
Eduard Ayguadé is an academic researcher from Barcelona Supercomputing Center. The author has contributed to research in topics: Programming paradigm & Compiler. The author has an hindex of 45, co-authored 422 publications receiving 9202 citations. Previous affiliations of Eduard Ayguadé include Polytechnic University of Catalonia & University of Barcelona.
Papers
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Journal ArticleDOI
OmpSs: A proposal for programming heterogeneous multi-core architectures
Alejandro Duran,Eduard Ayguadé,Rosa M. Badia,Rosa M. Badia,Jesús Labarta,Luis Martinell,Xavier Martorell,Judit Planas +7 more
TL;DR: OmpSs is a programming model based on OpenMP and StarSs that can also incorporate the use of OpenCL or CUDA kernels, that is more flexible than traditional approaches to exploit multiple accelerators, and due to the simplicity of the annotations, it increases programmer's productivity.
Journal ArticleDOI
The Design of OpenMP Tasks
Eduard Ayguadé,Nawal Copty,Alejandro Duran,Jay Hoeflinger,Yuan Lin,Federico Massaioli,Xavier Teruel,Priya Unnikrishnan,Guansong Zhang +8 more
TL;DR: The paper summarizes the efforts of the sub-committee in designing, evaluating and seamlessly integrating the tasking model into the OpenMP specification, and compares a prototype implementation of thetasking model with existing models, and evaluates it on a wide range of applications.
Proceedings ArticleDOI
Barcelona OpenMP Tasks Suite: A Set of Benchmarks Targeting the Exploitation of Task Parallelism in OpenMP
TL;DR: This paper presents the proposed Barcelona OpenMP Tasks Suite (BOTS), with a set of applications exploiting regular and irregular parallelism, based on tasks, and presents an overall evaluation of the BOTS benchmarks in an Altix system.
Journal ArticleDOI
Performance, power efficiency and scalability of asymmetric cluster chip multiprocessors
TL;DR: Evaluated ACCMP architectures as a mechanism to achieve the highest performance for a given power budget show that asymmetric multiprocessors can reduce power consumption by more than two thirds with similar performance compared to symmetric multipROcessors.
Journal ArticleDOI
Hierarchical Task-Based Programming With StarSs
TL;DR: An extension of the StarSs syntax to support task hierarchy is presented and the preliminary results obtained when executing a matrix multiplication and a Cholesky factorization show the viability and potential of the approach and the current issues raised.