A newly developed numerical tool for Computational Fluid Dynamics (CFD) computations is presented. This method is designed to be spatially compact and computationally efficient, and meanwhile capable of modeling the dynamics ...

Multiphase flow is significant to many industrial processes such as the geologic storage of CO2 and oil recovery. Microscale simulation of flow in complex geological formations such as saline aquifers or oilfields is a ...

While a fully coherent all-sky search is known to be optimal for detecting gravitational wave signals from the inspiral and merger of a binary system of compact objects -- a compact binary coalescence (CBC) -- its high ...

We give an elementary statistical analysis of two High Performance Computing issues, processor cache mapping and network port mapping. In both cases we find that, as in the birthday paradox, random assignment leads to more ...

Understanding the geometric and semantic structure of a scene (scene understanding) is a crucial problem in robotics. Researchers have employed deep learning to address scene understanding problems such as instance ...

Aware of the role that linear algebra plays in scientific applications, we investigate if/how matrix expressions can be efficiently evaluated with current high-level languages. On the one hand, the numerical linear algebra ...