2 citations · 4 across the 7 of their papers we have counts for
9 papers
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…
RLang: A Declarative Language for Describing Partial World Knowledge to Reinforcement Learning Agents
Rafael Rodriguez-Sanchez, Benjamin A. Spiegel, Jennifer Wang +3
We introduce RLang, a domain-specific language (DSL) for communicating domain knowledge to an RL agent. Unlike existing RL DSLs that ground to \textit{single} elements of a decisio…
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…
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…
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…
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…
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…
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…
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…