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Microsoft Launches Technical Computing Initiative

Microsoft Launches Technical Computing Initiative

Microsoft Launches Technical Computing InitiativeMicrosoft has announced the Microsoft Technical Computing Initiative, a new effort and organization charged with bringing supercomputing horsepower and resources to a much wider audience of scientists, researchers and engineers.

The effort, which has been operating in "stealth mode" for last 18 months, aims to simplify supercomputing capacity and help democratize supercomputing for a broader set of users, according to Bill Hilf, Microsoft's general manager, technical computing. The explosion of data, which is massively outpacing computational growth, the notion of parallelism and the impact of cloud computing are the macro trends prompting Microsoft to aggressively pursue this new venture, Hilf says.

"What's been happening to make this more important to the broader world is the end of the explosion of Moore's law, where we get faster clock speeds every 18 months," Hilf explains. "The transition to multicore systems has created a crucial need for the software community-everyone from CAD/CAM providers to operating system vendors-to fundamentally rewrite software to take advantage of parallelism."

The idea of breaking up a massive computing task or problem such as a complex simulation and distributing the processing work across resources, i.e., parallelism, applies to multicore desktop systems, cluster computing environments, even the large-scale resources of cloud computing. The problem is, as Hilf explains it, 99% of the world's software isn't written as a parallel program, which is required to take advantage of the new architecture. "Any time people need to break up and distribute a problem against large scale resources, be it on a client, in a cluster or in the cloud--those are the environments where we're focused on helping simplify and broaden the availability of supercomputing," Hilf explains.

The new Microsoft organization, which has been hiring and collaborating with the best and the brightest in the technical computing community, has a multi-pronged agenda to meet that agenda:

  • The company is currently offering Windows HPC Server, which delivers high-performance computing power on a cluster level and the company is planning to release a new version this fall with more advanced capabilities. For example, the new version will automatically bring unused PC resources into the cluster during off-hours in the evening to tackle a high-performance computing problem, Hilf explains.

  • Leveraging its Azure cloud computing platform to deliver High Performance Compute cycles in the cloud to augment on-premise systems and deliver "just in time" processing.

  • Developing new tools that will simplify parallel software development. Hilf says parallel programs are extremely difficult to write, test and debug, and Microsoft is committed to building new tools that will help automate and simplify the process of writing parallel programs that will scale from the desktop, to the cluster to the cloud. "The parallelism pressure has already started in a significant way," he explains. "Simplified tools will allow those serial developers to exploit parallel development. We see this opening up those things that were previously only relegated to high-end customers to a broader set of users."

  • Provide new development tools and run-time platforms that will allow applications or even engineering models to seamlessly scale from multicore PCs to multi-server clusters to a multi-instance cloud environment, depending on the need for compute power. This idea of flexibility and choice between running in a client, cluster or cloud environment is where Microsoft really sees its key differentiation, Hilf says. Consider the development of an aircraft, for example. With the Microsoft High Performance Computing vision, one or two variables involved in a wing design could be simulated on a workstation, while the relationship of the wing to the entire fuselage could be explored on the cluster and a simulation of the entire aircraft across a huge amount of weather or physics data could leverage the capacity of the cloud for computation. "To do that now, requires rewriting the application at every step," Hilf says. In the Microsoft vision, the parallel computing run-time platforms would allow the model or application to take advantage of whatever resources beneath it without having to change the application, he explains.
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