activity
20152026
most citedLeveraging Teaching on Demand: Approaching HPC to Undergrads

4 citations · 8 across the 6 of their papers we have counts for

collaborators

8 papers

cs.DC2026★ 4 cited

Leveraging Teaching on Demand: Approaching HPC to Undergrads

S. Catalán, R. Carratalá-Sáez, S. Iserte

High Performance Computing (HPC) is a highly demanded discipline in companies and institutions. However, as students and also afterwards as professors, we observed a lack of HPC re…

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.MS2017★ 1 cited

Look-Ahead in the Two-Sided Reduction to Compact Band Forms for Symmetric Eigenvalue Problems and the SVD

Rafael Rodríguez-Sánchez, Sandra Catalán, José R. Herrero +2

We address the reduction to compact band forms, via unitary similarity transformations, for the solution of symmetric eigenvalue problems and the computation of the singular value…

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.MS2015

Multi-Threaded Dense Linear Algebra Libraries for Low-Power Asymmetric Multicore Processors

Sandra Catalán, José R. Herrero, Francisco D. Igual +2

Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high 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…

cs.PF2015

Architecture-Aware Configuration and Scheduling of Matrix Multiplication on Asymmetric Multicore Processors

Sandra Catalán, Francisco D. Igual, Rafael Mayo +2

Asymmetric multicore processors (AMPs) have recently emerged as an appealing technology for severely energy-constrained environments, especially in mobile appliances where heteroge…