Abstract: Relying on a traffic simulator is often necessary when multiple traffic conditions need to be replicated, either to predict specific quantities of particular interest or to assess more ...

AI supercomputer network performance has become a blocker to training larger AI models. Analytically modeling such networks is virtually impossible, and the cost and time of building prototypes is ...

Abstract: This article introduces a highly efficient electrothermal coupling simulation method that leverages a data-driven neural network power loss model to enhance the simulation efficiency in the ...

SUE-Sim is an end-to-end, high-precision network simulation platform for the Scale-Up Ethernet framework(SUE). Broadcom's SUE provides a low-latency, high-bandwidth interconnect framework for Ethernet ...

The simulation hypothesis — the idea that our universe might be an artificial construct running on some advanced alien computer — has long captured the public imagination. Yet most arguments about it ...