“With qwikLABS, users can create, manage and run labs anytime. Labs are delivered via the public cloud to classrooms, events or online; anywhere there is access to the Internet. qwikLABS is used by lab creators, instructors/trainers, administrators, coordinators and students around the world. The qwikLABS platform users are able to create, manage, deploy and run lab environments around the clock and around the world, and do so in a way complementary to the business or education institution’s flow of assignments, modules, classes, courses.”
Over at HPC Magazine, Wolfgang Gentzsch and Burak Yenier write that high performance computing in the cloud is now becoming a reality. For many, getting there entails reviewing (and demystifying) the issues traditionally associated with Cloud HPC, including performance, cost, software licensing, and security.
In this whitepaper from Adaptive Computing – we learn about the new concept around Big Workflow and how it directly addresses the needs of critical, data-intensive, applications. By creating more intelligence around data control, Big Workflow directly provides a way for big data, HPC, and cloud environments to interoperate, and do so dynamically based on what applications are running.
In this slidecast, Rob Clyde from Adaptive Computing describes Big Workflow — the convergence of Cloud, Big Data, and HPC in enterprise computing. “The explosion of big data, coupled with the collisions of HPC and cloud, is driving the evolution of big data analytics,” said Rob Clyde, CEO of Adaptive Computing. “A Big Workflow approach to big data not only delivers business intelligence more rapidly, accurately and cost effectively, but also provides a distinct competitive advantage.”