Zobrazeno 1 - 10
of 7 382
pro vyhledávání: '"Adams Mark"'
Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal classification and detection; however, these method
Externí odkaz:
http://arxiv.org/abs/2409.01532
Autor:
Mills, Richard Tran, Adams, Mark, Balay, Satish, Brown, Jed, Faibussowitsch, Jacob, Isaac, Toby, Knepley, Matthew, Munson, Todd, Suh, Hansol, Zampini, Stefano, Zhang, Hong, Zhang, Junchao
The Portable Extensible Toolkit for Scientific Computation (PETSc) library provides scalable solvers for nonlinear time-dependent differential and algebraic equations and for numerical optimization via the Toolkit for Advanced Optimization (TAO). PET
Externí odkaz:
http://arxiv.org/abs/2406.08646
Leveraging Graphics Processing Units (GPUs) to accelerate scientific software has proven to be highly successful, but in order to extract more performance, GPU programmers must overcome the high latency costs associated with their use. One method of
Externí odkaz:
http://arxiv.org/abs/2306.17801
The Landau collision integral is often considered the gold standard in the context of kinetic plasma simulation due to its conservative properties, despite challenges involved in its discretization. The primary challenge when implementing an efficien
Externí odkaz:
http://arxiv.org/abs/2306.12606
We present a study of the standard plasma physics test, Landau damping, using the Particle-In-Cell (PIC) algorithm. The Landau damping phenomenon consists of the damping of small oscillations in plasmas without collisions. In the PIC method, a hybrid
Externí odkaz:
http://arxiv.org/abs/2303.12620
Autor:
Adams, Mark F., Knepley, Matthew K.
Fully realizing the potential of multigrid solvers often requires custom algorithms for a given application model, discretizations and even regimes of interest, despite considerable effort from the applied math community to develop fully algebraic mu
Externí odkaz:
http://arxiv.org/abs/2302.10242