Recent years have seen a proliferation of specialized ML accelerators—proposed in both academia (e.g., Gemmini, FEATHER) and industry (e.g., Google TPU, Intel AMX)—that depart significantly from ...

This repository provides accurate tensor (NVIDIA) and matrix (AMD) core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1] ...

ABSTRACT: This study presents the design and modeling of an Automated Voltage Regulator (AVR) using MATLAB/Simulink, with a comparative performance evaluation against Proportional-Integral-Derivative ...

EV powertrain simulation using MATLAB/Simulink to explore these exact challenges, especially in optimizing energy efficiency and evaluating system performance. Simulating the Future: Electric Vehicle ...

Heat transfer, encompassing conduction, convection, and radiation, is a fundamental physical process critical to engineering, environmental science, and materials development. Modeling heat transfer ...

Yuanyuan Shi has been named a 2024 AI2050 Early Career Fellow by Schmidt Sciences. This honor recognizes Shi's work developing AI-driven building control systems to optimize indoor air quality while ...

Abstract: Spatial accelerator is a specialized hardware to provide noticeable performance speedup for tensor computations. It also brings a challenge to map tensor computations on spatial accelerators ...

Model parameters of the relationships between infodemic-driven overuse of health care, cyberchondria, and anxiety were analyzed using bootstrapped partial least squares structural equation modeling.

SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis It is widely hoped that artificial intelligence will boost ...

Circuit design for quantum machine learning remains a formidable challenge. Inspired by the applications of tensor networks across different fields and their novel presence in the classical machine ...