Listar por autor "Álvarez Martínez, Millán"
Mostrando ítems 1-3 de 3
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A Highly Optimized Skeleton for Unbalanced and Deep Divide-And-Conquer Algorithms on Multi-Core Clusters
Álvarez Martínez, Millán; Fraguela, Basilio B.; Cabaleiro, José Carlos (Springer, 2022)[Abstract] Efficiently implementing the divide-and-conquer pattern of parallelism in distributed memory systems is very relevant, given its ubiquity, and difficult, given its recursive nature and the need to exchange tasks ... -
A new thread-level speculative automatic parallelization model and library based on duplicate code execution
Álvarez Martínez, Millán; Fraguela, Basilio B.; Cabaleiro, José Carlos; Rivera, Francisco F. (Springer Nature, 2024-03-11)Loop-efficient automatic parallelization has become increasingly relevant due to the growing number of cores in current processors and the programming effort needed to parallelize codes in these systems efficiently. However, ... -
A Parallel Skeleton for Divide-and-conquer Unbalanced and Deep Problems
Álvarez Martínez, Millán; Fraguela, Basilio B.; Cabaleiro, José Carlos (Springer Nature, 2021)[Abstract] The Divide-and-conquer (D&C) pattern appears in a large number of problems and is highly suitable to exploit parallelism. This has led to much research on its easy and efficient application both in shared and ...