Archive | October 2007

Platform Acquires Scali Manage

From the joint release:

Platform Computing announced today it has acquired the Scali Manage business from Massachusetts-based Scali Inc. Scali Manage is an integrated and flexible High Performance Computing (HPC) cluster management and monitoring system. This strategic acquisition supports Platform’s vision to be the partner of choice for HPC infrastructure software worldwide. The Scali Manage product complements Platform’s existing HPC offerings and extends Platform’s products’ cluster and grid management capabilities.

As someone who worked for both companies, I can honestly state that this really does sound like a win-win outcome.

Scali has chosen to focus on its industry-leading MPI product.

Platform has broadened its cluster-management offering in a very significant way.

I remain a huge fan of Scali Manage more than a year after my departure from Scali.

Why?

Scali Manage is standards-based.

To appreciate the depth of this statement, please read my blog post from March 2006.

Moreover, Scali Manage is likely still the only software that can make this claim. Yes, there are open source offerings. But none of these are based on open standards like WBEM and Eclipse.

With people and technology transferring from Scali to Platform, I expect a very rosy future for Scali Manage.

Giving Up On Leopard … for now

Got my DVD on the release date.

Had a few minutes to do an install this past Sunday morning.

Spent 1.5 hours with Apple Support. No progress.

On hold with them again this morning as I blog …

Symptoms? During the installation-initiated reboot, my Leopard DVD is ejected. After I log in I see a Finder screen with two disk icons and nothing more.

My platform? A MacBook Pro laptop.

(And BTW, I’ve been able to reproduce this on two such laptops!)

Given it was from Apple, I just expected this would be a smooth transition.

At this point, I need to get back to work. I’ll wait for the re-release.

If you Google “Leopard installation issues”, you’ll get a lot of hits.

I’m very disappointed. I expected more.

Jott Meets the Semantic Web

While walking my husky after work yesterday, I Jott’ed myself:

Another great work out today on the electrical, you had over 3 kilometers and over 550 calories burned in 32 minutes. Nice work and then some good wait listing …

Most human readers would automatically parse this Jott as:

Another great workout today on the elliptical, you had over 3 kilometers and over 550 calories burned in 32 minutes. Nice work and then some good weight lifting …

Even though I don’t know a lot about Jott’s transcription engine, I’ll share my perspective on the identified differences:

  • “work out” vs. “workout” and “wait” vs. “weight” – These are subtle differences. Differences that can only be resolved with an understanding of context. In other words, a human reader knows that I was attempting to capture some data on my lunch-time exercise routine, and re-parses the Jott with contextually correct words. In order to correct such subtle ‘errors of transcription’, Jott will need to develop semantic filters. Filters that can take context into account.
  • “electrical” vs. “elliptical” and “listing” vs. “lifting” – These are glaring differences. I know, from past experience, that Jott has words like “elliptical” and “lifting” in its ‘dictionary’. Therefore, I regard these as errors originating from Jott’s inability to ‘hear’ what I’m saying. And although a context-based filter may also help here, I feel I must share some of the responsibility for not clearly articulating my Jott.

What does all of this mean?

Meaning, indeed, is the root of it all!

What this means is that some future version of Jott will need to do a better job of capturing meaning. What I had intended. The context in which I framed my Jott.

What this means is that in the longer term, a few major releases of Jott down the road, Jott will need to become as interested in the Semantic Web as companies like Google are today.

And as we’re experiencing with search engines like Google, this’ll take some effort and some time!

Workshop on Semantic Scientific Knowledge Integration

A workshop aimed directly at the intersection between the scientific and Semantic Web communities has recently been announced. It’ll be held towards the end of next March at Stanford. The stated goals for the workshop include:

… obtaining requirements for AI researchers from the scientific community, informing the computational science community of AI research efforts that are ready for use now or with additional research, and providing a forum for current collaborative efforts to present their work.

Calls for papers and panel proposals are now open.

For those interested in immersing themselves in this evolving intersection, this promises to be a very worthwhile event.