4 citations · 11 across the 5 of their papers we have counts for
5 papers
A task-based data-flow methodology for programming heterogeneous systems with multiple accelerator APIs
Aleix Boné, Alejandro Aguirre, David Álvarez +2
Heterogeneous nodes that combine multi-core CPUs with diverse accelerators are rapidly becoming the norm in both high-performance computing (HPC) and AI infrastructures. Exploiting…
Distributed and heterogeneous tensor-vector contraction algorithms for high performance computing
Pedro J. Martinez-Ferrer, Albert-Jan Yzelman, Vicenç Beltran
The tensor-vector contraction (TVC) is the most memory-bound operation of its class and a core component of the higher-order power method (HOPM). This paper brings distributed-memo…
Improving the performance of classical linear algebra iterative methods via hybrid parallelism
Pedro J. Martinez-Ferrer, Tufan Arslan, Vicenç Beltran
We propose fork-join and task-based hybrid implementations of four classical linear algebra iterative methods (Jacobi, Gauss-Seidel, conjugate gradient and biconjugate gradient sta…
Automated Generation of High-Performance Computational Fluid Dynamics Codes
Sandra Macià, Pedro J. Martıínez-Ferrer, Eduard Ayguadé +1
Domain-Specific Languages (DSLs) improve programmers productivity by decoupling problem descriptions from algorithmic implementations. However, DSLs for High-Performance Computing…
HDOT -- an Approach Towards Productive Programming of Hybrid Applications
Jan Ciesko, Pedro J. Martínez-Ferrer, Raúl Peñacoba Veigas +2
MPI applications matter. However, with the advent of many-core processors, traditional MPI applications are challenged to achieve satisfactory performance. This is due to the inabi…