Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Rodríguez Sánchez, Rafael"'
General-purpose agents require fine-grained controls and rich sensory inputs to perform a wide range of tasks. However, this complexity often leads to intractable decision-making. Traditionally, agents are provided with task-specific action and obser
Externí odkaz:
http://arxiv.org/abs/2406.15850
Autor:
Martínez, Héctor, Catalán, Sandra, Igual, Francisco D., Herrero, José R., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
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 (Linear Algebra PACKage) and the low-level, architecture-dependent ker
Externí odkaz:
http://arxiv.org/abs/2304.14480
Autor:
Rodriguez-Sanchez, Rafael, Spiegel, Benjamin A., Wang, Jennifer, Patel, Roma, Tellex, Stefanie, Konidaris, George
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 decision-making formalism (e.g., the reward function or policy), RLang can sp
Externí odkaz:
http://arxiv.org/abs/2208.06448
Programming parallel dense matrix factorizations and inversion for new-generation NUMA architectures
Autor:
Catalán, Sandra, Igual, Francisco D., Herrero, José R., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
Publikováno v:
In Journal of Parallel and Distributed Computing May 2023 175:51-65
Autor:
Catalán, Sandra, Castelló, Adrián, Igual, Francisco D., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
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 multithreaded version of BLAS. This approach is
Externí odkaz:
http://arxiv.org/abs/1804.07017
Autor:
Rodríguez-Sánchez, Rafael, Catalán, Sandra, Herrero, José R., Quintana-Ortí, Enrique S., Tomás, Andrés E.
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 decomposition (SVD). Concretely, in the first case we revisit the redu
Externí odkaz:
http://arxiv.org/abs/1709.00302
Autor:
Catalán, Sandra, Herrero, José R., Quintana-Ortí, Enrique S., Rodríguez-Sánchez, Rafael, van de Geijn, Robert
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 target the scenario where two thre
Externí odkaz:
http://arxiv.org/abs/1611.06365
Low-power asymmetric multicore processors (AMPs) attract considerable attention due to their appealing performance-power ratio for energy-constrained environments. However, these processors pose a significant programming challenge due to the integrat
Externí odkaz:
http://arxiv.org/abs/1601.05313
Autor:
Catalán, Sandra, Herrero, José R., Igual, Francisco D., Rodríguez-Sánchez, Rafael, Quintana-Ortí, Enrique S.
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 BLAS (and LAPACK) functionality for
Externí odkaz:
http://arxiv.org/abs/1511.02171
Autor:
Catalán, Sandra, Igual, Francisco D., Mayo, Rafael, Piñuel, Luis, Quintana-Ortí, Enrique S., Rodríguez-Sánchez, Rafael
Asymmetric processors have emerged as an appealing technology for severely energy-constrained environments, especially in the mobile market where heterogeneity in applications is mainstream. In addition, given the growing interest on ultra low-power
Externí odkaz:
http://arxiv.org/abs/1507.05129