IEEE

Distributed DNN Inference With Fine-Grained Model Partitioning in Mobile Edge Computing Networks

Abstract: Model partitioning is a promising technique for improving the efficiency of distributed inference by executing partial deep neural network (DNN) models on edge servers (ESs) or ...
IEEE

Multiple-Task Coded Computing for Distributed Computation Framework: Modeling and Delay Analysis

Abstract: Coded computing has received significant attention thanks to its advantage in alleviating the straggler effect in distributed computation framework, which would be one of the key fundamental ...
ITWeb on MSN

Cloud-native, done for the enterprise – not the demo

Cloud-native, done for the enterprise – not the demoContainers and micro-services are not the hard part. Making them work alongside the core systems that already run your business is – and that is ...
GitHub

mrajkishor/Distributed-Task-Scheduler

A high-performance, distributed task scheduling system designed to handle delayed jobs, background processing, retries, and real-time job orchestration at scale. Inspired by systems like Celery, ...
Wall Street Journal

U.S. to Award Quantum-Computing Firms $2 Billion and Take Equity Stakes

WASHINGTON—The Trump administration is awarding $2 billion in grants to nine quantum-computing companies in deals that include U.S. government equity stakes, the Commerce Department said. The move ...
CNN

US awards IBM and other firms $2 billion to give America the edge in quantum computing

The US Department of Commerce is awarding $2 billion to American quantum-computing companies — half of which will go to IBM — to bolster the buildout of super computers that could solve some of the ...
Scientific American

Quantum computing is reaching its make-or-break moment

This article is part of a package on the future of quantum computing. Read about the most promising applications of these machines here and see an illustrated field guide to qubits here. Inside a ...