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20152023
most citedCo-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors

2 citations · 4 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.DC2023★ 2 cited

Co-Design of the Dense Linear AlgebravSoftware Stack for Multicore Processors

Héctor Martínez, Sandra Catalán, Francisco D. Igual +3

This paper advocates for an intertwined design of the dense linear algebra software stack that breaks down the strict barriers between the high-level, blocked algorithms in LAPACK…

cs.DC2018

Programming Parallel Dense Matrix Factorizations with Look-Ahead and OpenMP

Sandra Catalán, Adrián Castelló, Francisco D. Igual +2

We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extra…

cs.DC2016★ 1 cited

A Case for Malleable Thread-Level Linear Algebra Libraries: The LU Factorization with Partial Pivoting

Sandra Catalán, José R. Herrero, Enrique S. Quintana-Ortí +2

We propose two novel techniques for overcoming load-imbalance encountered when implementing so-called look-ahead mechanisms in relevant dense matrix factorizations for the solution…

cs.DC2016

Architecture-Aware Optimization of an HEVC decoder on Asymmetric Multicore Processors

Rafael Rodríguez-Sánchez, Enrique S. Quintana-Ortí

Low-power asymmetric multicore processors (AMPs) attract considerable attention due to their appealing performance-power ratio for energy-constrained environments. However, these p…

cs.DC2015

Performance and Energy Optimization of Matrix Multiplication on Asymmetric big.LITTLE Processors

Sandra Catalán, Francisco D. Igual, Rafael Mayo +3

Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is m…