Windows Azure and Parallel Computing (HPC)

I had the opportunity to do some research the Windows Azure High-Performance Computing (HPC) / Parallel Computing scenario earlier today. In my travels, I encountered (and want to share):

    Jumping into the deep end of the pool:

How do you get started on all this good stuff? Well if you have the need (or want to get your developers started), point them to:

With the Windows Azure Training Kit installed, your HPC developers will want to review the following labs within:

  • Running a parametric sweep application with the Windows Azure HPC Scheduler
  • Running SOA Services with the Windows Azure HPC Scheduler
  • Running MPI Applications with the Windows Azure HPC Scheduler

Yes: HPC / Parallel Computing is in the cloud. In these interesting financial times, who needs:

  • Massive data centers
  • The cost for infrastructure, maintenance and upgrades to the above, year after year
  • Wasted capacity

The Cloud IS the place for HPC, and with a bit of work on your part, you’re ready to join in.

I’ll see you there.

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About Michael Coates
I am a pragmatic evangelist. The products, services and solutions I write about fulfill real-world expectations and use cases. I stay up-to-date on real products I use and review, and share my thoughts here. I apply the same lens when designing an architecture, product or when writing papers. I am always looking for ways that technology can create or enhance a business opportunity .. not just technology for technology's sake. My CV says: Seasoned technology executive, leveraging years of experience with enterprise and integration architectural patterns, executed with healthy doses of business acumen and pragmatism. That's me. My web site says: Technology innovations provide a myriad of opportunities for businesses. That said, having the "latest and greatest" for its own sake isn't always a recipe for success. Business successes gained through exploiting innovation relies on analysis of how the new features will enhance your business followed by effective implementation. Goals vary far and wide: streamlining operations, improving customer experience, extending brand, and many more. In all cases, you must identify and collect the metrics you can apply to measure your success. Analysis must be holistic and balanced: business and operational needs must be considered when capitalizing on a new technology asset or opportunity.

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