Abstract: Alternating direction method of multipliers (ADMM) is an efficient algorithm to solve large-scale machine learning problems in a distributed environment. To make full use of the hierarchical ...

Abstract: DeepMD-kit enables deep learning-based molecular dynamics (MD) simulations that require efficient parallelization to leverage modern HPC architectures. In this work, we optimize DeepMD-kit ...

ATLANTA--(BUSINESS WIRE)--The OpenMP Architecture Review Board (ARB) is pleased to announce Version 6.0 of the OpenMP API Specification, a major upgrade of the OpenMP ...

ABSTRACT: The development of new technologies in smart cities is often hailed as it becomes a necessity to solve many problems like energy consumption and transportation. Wireless networks are part of ...

A repository to store all of my epidemiological predictive models, including a basic SIR model and it's modifications. This repository also has some other fun models, including the SIInZD model for ...

In recent years, the widespread adoption of parallel computing, especially in multi-core processors and high-performance computing environments, ushered in a new era of efficiency and speed. This ...

This was our Final Project for Distributed Computing. In this we had to create a distributed system that will use the Brute Force Algorithm to crack a password from the etc/shadows file of Ubuntu as ...

This work evaluated the use of OpenMP tasking with target GPU offloading as a potential solution for programming productivity and performance on heterogeneous systems. Also, it is proposed a new ...

The ability to do thermal simulations for entire additive manufacturing builds is a key computational problem facing the additive manufacturing community; however, complex numerical models considering ...