“While today business Clouds are easy to access and use, R&D Clouds have not yet reached this level, with their sophisticated applications and architectures. It’s a similar difference with business applications versus HPC applications; it takes a few hours to start using a CRM application on Salesforce.com’s platform, while it still might take weeks for an engineer to get an application like ANSYS Fluent or Simulia’s Abaqus up and running in the Cloud.”
This week Nvidia salutes Women who use CUDA for incredible science and engineering. They’ve compiled 30 profiles so far, and the advice they share from their experiences is quite inspiring. “It’s a good way to remind people that women write code, participate in open-source projects, and invent things,” said Lorena Barba from George Washington University. “It’s important to make the technology world more attractive to female students and show them examples of women who are innovators.”
In a quest to design synthetic microorganisms for alternate fuel sources, Howard Salis from Penn State leveraged AWS to bring supercomputing resources to scientists. “The DNA Compiler has fundamentally changed the way that genetic engineering takes place by providing a way to quantitatively control and optimize the expression of many proteins working together, instead of performing trial-and-error DNA mutagenesis.”
Lawrence Berkeley National Laboratory is the latest Intel Parallel Computing Center (IPCC). As a collaboration with Intel centered around code modernization, the IPCC will focus on adapting existing scientific applications to run on future supercomputers built with manycore processors. Such supercomputers will potentially have millions of processor cores, but today’s applications aren’t designed to take advantage of this architecture.