December 15, 2011
Joyent connects the academic community with open source system software and support to run modern compute centers that enable richer research and development
SAN FRANCISCO, Dec. 15 — Joyent, the global provider of cloud computing software and services, today announced the launch of its Academic Program, giving academic and research organizations free access to the most modern computing infrastructure available for teaching and research projects that require intensive compute capacity and performance. Educators, researchers and students worldwide can leverage Joyent's cloud infrastructure software to teach advanced courses, conquer large compute research initiatives and explore new, challenging projects.
Organizations that participate in the Joyent Academic Program will gain access to Joyent's SmartDataCenter, the cloud infrastructure platform that runs Joyent Cloud and numerous other global private and public clouds.
"With growing demand for complex research in labs around the world, we believe academic and research institutions need a more modern and powerful alternative to existing computing infrastructures," said Jason Hoffman, founder and CTO of Joyent. "SmartDataCenter with SmartOS and Node.js will help them meet the challenge."
Joyent's Academic Program addresses three groups:
Joyent will make SmartDataCenter and infrastructure designs freely available to qualified academic and research organizations. Joyent will also allow these academic compute environments to be used for unrestricted commercial offerings targeting the academic and research communities.
For Academic Researchers
Academic researchers need to accelerate research and study in fields that require massive compute power. The Joyent Academic Program offers research grants and funded student and post-doc positions that use SmartOS, Node.js and SmartDataCenter. Grants and funding are available in the areas of "empirical" computer science, instrumentation, telemetry and data harvesting, data mining, SML, workload analysis and metrics, algorithm refinement and development, and data governance and security.
Joyent will offer teaching grants for courses and course development that use SmartOS, Node.js and SmartDataCenter, with particular interest in operating system, instrumentation and "empirical" computer science programs.
To learn more about the Academic Program, please visit www.joyent.com/education.
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.