The expanding scale of cloud data centers and the diversification of user services have led
to an increase in energy consumption and greenhouse gas emissions, resulting in long-term …

This project briefs the detection of diseases present in a tomato leaf using Convolutional
Neural Networks (CNNs) which is a class under a deep neural network. As an initial step …

Deep neural networks and deep learning are becoming important and popular techniques in
modern services and applications. The training of these networks is computationally …

Data-parallelism has become an established paradigm to train DNNs that fit inside GPU
memory on large-scale HPC systems. However, model-parallelism is required to train out-of …

INTRODUCTION: The outbreak ofacoronavirus disease in 2019 (COVID-19) has created a
global health epidemic that has had a major effect on the way we view our environment and …

Coffee is one of the plantation commodities that plays a big role in the world economy.
According to the classification of coffee, each type of coffee has various shapes and textures …

Excessive use of herbicides for weed control increases the cost of crop production and can
lead to environmental degradation. An intelligent spraying system can apply agrochemicals …

State-of-the-art machine learning frameworks support a wide variety of design features to
enable a flexible machine learning programming interface and to ease the programmability …

The Deep Learning (DL) training process consists of multiple phases—data augmentation,
training, and validation of the trained model. Traditionally, these phases are executed either …

Frontera is the largest NSF-funded cluster in the US and comprises of 8,008 nodes
equipped with the latest Intel Xeon processors (Cascade-Lake). In this paper, we explore the …