Tag: cloud computing
On Friday, in the Western Massachusetts town of Holyoke, Governor Deval Patrick and officials from industry, government and academia joined together for the official launch of a $3 million capital investment, known as the Massachusetts Open Cloud (MOC) project. The public-private initiative will establish a new cloud computing infrastructure to serve as a virtual laboratory Read more…
General Motors is bringing the company’s IT affairs back in-house after nearly two decades of outsourcing. The automaker is actively working to consolidate its IT operations from 23 datacenters around the globe (most of which are leased) down to just two by 2015.
Quantum computing is still in it infancy, but soon anyone with a Web browser will have access to an early form of this powerful computing technology thanks to the University of Bristol’s Qcloud project.
Biotech companies are reaping the benefits of more accessible high-performance computing tools. The ability to compress weeks of modeling into days or hours is improving outcomes and boosting time to market.
San Diego Supercomputer Center (SDSC) is announcing a bold new cloud and analytics-based initiative, called Sherlock. Established by SDSC with the assistance of SD Technology and Chickasaw Nation Industries, the Sherlock-branded project represents an “extensive portfolio of information technology services for healthcare and government.”
Since it launched last July, the UberCloud Experiment has held three rounds of trials that demonstrate the viability of running HPC workloads in the cloud. With the fourth round set to begin soon, attention once again focuses on encouraging the HPC community to invest in the development of cloud HPC resources that have the potential to benefit smaller organizations.
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
In this week’s hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.