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Listar por autor "Catalan Pallares, Sandra"

Mostrando ítems 1-7 de 7

A case for malleable thread-level linear algebra libraries: The LU factorization with partial pivoting

Catalán, Sandra; Herrero, José R.; Quintana Ortí, Enrique Salvador; Rodríguez-Sánchez, Rafael; van de Geijn, Robert (Institute of Electrical and Electronics Engineers, 2019-01-31)

[EN] 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 of linear systems. Both techniques ...
Energy balance between voltage-frequency scaling and resilience for linear algebra routines on low-power multicore architectures

Catalán, Sandra; Herrero, José R.; Quintana Ortí, Enrique Salvador; Rodríguez-Sánchez, Rafael (Elsevier, 2018-04)

[EN] Near Threshold Voltage (NTV) computing has been recently proposed as a technique to save energy, at the cost of incurring higher error rates including, among others, Silent Data Corruption (SDC). In this paper, we ...
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors

Catalán, Sandra; Herrero, José R.; Igual Peña, Francisco Daniel; Rodríguez-Sánchez, Rafael; Quintana Ortí, Enrique Salvador; Adeniyi-Jones, Chris (Elsevier, 2018-03)

[EN] 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 performance implementations of the ...
Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures

Catalán, Sandra; Igual, Francisco D.; Herrero, José R.; Rodríguez-Sánchez, Rafael; Quintana-Ortí, Enrique S. (Elsevier, 2023-05)

[EN] We propose a methodology to address the programmability issues derived from the emergence of newgeneration shared-memory NUMA architectures. For this purpose, we employ dense matrix factorizations and matrix inversion ...
Programming parallel dense matrix factorizations with look-ahead and OpenMP

Catalán, Sandra; Castelló, Adrián; Igual, Francisco D.; Rodríguez-Sánchez, Rafael; Quintana Ortí, Enrique Salvador (Springer-Verlag, 2020-03)

[EN] We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded ...
Static scheduling of the LU factorization with look-ahead on asymmetric multicore processors

Catalán, Sandra; Herrero, José R.; Quintana Ortí, Enrique Salvador; Rodríguez-Sánchez, Rafael (Elsevier, 2018-08)

[EN] We analyze the benefits of look-ahead in the parallel execution of the LU factorization with partial pivoting (LUpp) in two distinct "asymmetric" multicore scenarios. The first one corresponds to an actual hardware-asymmetric ...
Two-sided orthogonal reductions to condensed forms on asymmetric multicore processors

Alonso-Jordá, Pedro; Catalán, Sandra; Herrero, José R.; Quintana-Ortí, Enrique Salvador; Rodríguez-Sánchez, Rafael (Elsevier, 2018-12)

[EN] We investigate how to leverage the heterogeneous resources of an Asymmetric Multicore Processor (AMP) in order to deliver high performance in the reduction to condensed forms for the solution of dense eigenvalue and ...