Zobrazeno 1 - 10
of 21 651
pro vyhledávání: '"A. Chacon"'
Autor:
Pepi, Chrysanthos, Godala, Bhargav Reddy, Tibrewala, Krishnam, Chacon, Gino, Gratz, Paul V., Jiménez, Daniel A., Pokam, Gilles A., August, David I.
Modern processors implement a decoupled front-end in the form of Fetch Directed Instruction Prefetching (FDIP) to avoid front-end stalls. FDIP is driven by the Branch Prediction Unit (BPU), relying on the BPU's accuracy and branch target tracking str
Externí odkaz:
http://arxiv.org/abs/2408.12592
Autor:
Godala, Bhargav Reddy, Ramesh, Sankara Prasad, Tibrewala, Krishnam, Pepi, Chrysanthos, Chacon, Gino, Kanev, Svilen, Pokam, Gilles A., Jiménez, Daniel A., Gratz, Paul V., August, David I.
Modern OOO CPUs have very deep pipelines with large branch misprediction recovery penalties. Speculatively executed instructions on the wrong path can significantly change cache state, depending on speculation levels. Architects often employ trace-dr
Externí odkaz:
http://arxiv.org/abs/2408.05912
We extend Ravagnani's MacWilliams duality theory to the settings of rank metric codes over finite chain rings, relating the sequences of $q$-binomial moments of a rank metric code over this class of rings with those of its dual.
Externí odkaz:
http://arxiv.org/abs/2408.03237
Autor:
Chacon, L., Di Giannatale, G.
We extend the recently proposed semi-Lagrangian algorithm for the extremely anisotropic heat transport equation [Chac\'on et al., J. Comput. Phys., 272 (2014)] to deal with arbitrary magnetic field topologies. The original scheme (which showed remark
Externí odkaz:
http://arxiv.org/abs/2408.02829
Our method extends the application of random spanning trees to cases where the response variable belongs to the exponential family, making it suitable for a wide range of real-world scenarios, including non-Gaussian likelihoods. The proposed model ad
Externí odkaz:
http://arxiv.org/abs/2407.12633
Autor:
Ahmadiniaz, Naser, Guzmán, Victor M. Banda, Edwards, James P., Lopez-Lopez, Misha A., Mata, C. Moctezuma, Chacón, Luis A. Rodriguez, Schubert, Christian, Shaisultanov, Rashid
It has been known for many years that methods inspired by string theory, such as the worldline formalism, allow one to write down integral representations that combine large numbers of Feynman diagrams of different topologies. However, to make this f
Externí odkaz:
http://arxiv.org/abs/2407.07383
Autor:
Chacon, Luis
We propose an optimally performant fully implicit algorithm for the Hall magnetohydrodynamics (HMHD) equations based on multigrid-preconditioned Jacobian-free Newton-Krylov methods. HMHD is a challenging system to solve numerically because it support
Externí odkaz:
http://arxiv.org/abs/2407.07031
Autor:
Mosquera, Juan F. P., Cistaro, Giovanni, Malakhov, Mikhail, Pisanty, Emilio, Dauphin, Alexandre, Plaja, Luis, Chacón, Alexis, Lewenstein, Maciej, Picón, Antonio
We present a numerical experiment that demonstrates the possibility to capture topological phase transitions via an x-ray absorption spectroscopy scheme. We consider a Chern insulator whose topological phase is tuned via a second-order hopping. We pe
Externí odkaz:
http://arxiv.org/abs/2407.03737
Autor:
Zhang, Huan, Chowdhury, Shreyan, Cancino-Chacón, Carlos Eduardo, Liang, Jinhua, Dixon, Simon, Widmer, Gerhard
In the pursuit of developing expressive music performance models using artificial intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic models to render Western classical piano performances. In this approach, p
Externí odkaz:
http://arxiv.org/abs/2406.14850
Automatic piano transcription models are typically evaluated using simple frame- or note-wise information retrieval (IR) metrics. Such benchmark metrics do not provide insights into the transcription quality of specific musical aspects such as articu
Externí odkaz:
http://arxiv.org/abs/2406.08454