High Performance, Parallel, & Grid Computing

On Wednesday night (May 6th), I attended an alumni event held by the UMass Boston CS Department in the beautiful five year old Campus Center.  It was great to see my professors and former classmates, along with talking with current students about their software engineering projects.  Toward the end of the event, there was a talk given by an alumnus named Richard Anderson, the CTO of Symmetric Computing, a company that makes hardware and OS-level software for High Performance Computing (HPC).  Their slogan is something along the lines of “Supercomputing for the Masses”.  The speaker gave a fairly typical overview of the history of CPU performance, including references to Moore’s Law, hitting the gigahertz wall, and the emergence of multi-core chips, followed by a discussion of parallel programming.  He mentioned several times that the company would be making one of their 48 core/350GB systems available to the university for academic use.  It was a decent talk, if not extremely exciting.  It made me think of concurrent programming, grid/cloud computing, and the cool compute appliances made by Azul Systems.  Based on questions asked by myself and others, I was disappointed to discover that although the technical gap between HPC and the rest of the computing world is narrowing, most of the HPC world seems unaware of this.  A lot of work has gone into making clusters of commodity hardware work together and coding for these architectures easier (think Google, Map/Reduce, etc.).  It would be nice if people in HPC and distributed computing could do a better job of exchanging ideas.  Even if typical clusters have to deal with latency issues and the inability to directly access large amounts of memory, that doesn’t explain why someone should code an HPC app in Fortran or C on a Symmetric box instead of in Java on a 432 core/384GB Azul box.
I realize that this is a bit of a rant.  If any readers can provide counter-arguments or counter-examples, I’d be happy (and reassured) to read and know about them.
Update: I forgot to mention that if you’re doing academic research or teaching a class in clustering/distributed computing, you should check out the fairly new Amazon Web Services in Education program.  They provide free credits to educators, researchers, and students.  Pretty cool!

Groovy versus Scala (Update)

Back in March of last year, I wrote a post comparing Groovy and Scala.  Enough time has passed that I thought it was worth revisiting the topic.

In my original post, I reached the conclusion that at least for me, it made sense to first focus on Groovy and then later learn more Scala.  I still feel that way, but my thoughts on the matter have evolved.  How about combining Groovy and Scala in the same program or architecture?  That thought had vaguely occurred to me already, but it was solidified by the discussion of Twitter’s use of Ruby and Scala.  They started off using Ruby (Ruby on Rails, in particular) to run their whole site.  When they ran into performance and scalability issues, they determined what was causing the most trouble (back-end tasks) and gradually converted the relevant parts of the system into Scala.  This kind of polyglot programming makes sense to me.  It follows the principle of “using the best tool for the job.”  I think the combination of Groovy and Scala makes even better sense: they’re designed to run and interoperate with other languages on the same VM.  Not surprisingly, I’m not the first person to think of this.  I found two posts from Andres Almiray (“Griffon: Groovy & Scala working together” and the follow up “Follow up on Griffon/Groovy/Scala”) showing some practical examples and another on a different blog discussing the ability jointly compile “Groovy+Scala+Java”.  I’m excited to watch and perhaps participate in these exciting developments.

Side Note: On the subject of Groovy, when my one-year IntelliJ license was close to expiring, I decided to check out NetBeans.  I was pleased to discover it had quite good Groovy and Grails support.  I’ve been using the 6.7 milestone builds and now the beta, in order to get support for Grails 1.1.  If you haven’t tried Groovy/Grails development in NetBeans yet, you should.

Update: Here are links to the items Andres mentioned in the comments

• Groovy Transforms
• Scalify
• ”Groovy and Scala sitting in a tree...”

Update (Jan 12, 2010): Andres recently posted the highly relevant Groovy & Scala: a tale of two JVM languages

Simple, But Very Clever

I was reading some articles on PCWorld (see my last post to find out why) and came upon an interesting link in one of the comments.  The link took me to SuperFiller.  It's a simple service which helps solve a problem I have all the time.  Have you ever put together an order on Amazon where all the items qualify for free shipping, but the total is a bit shy of the required 25 dollars?  Well, as the front page of the site shows, you can ask SuperFiller what items are available on Amazon for $1.47, or whatever amount you need.  It's simple and probably wasn't very hard to code, but someone had to think of it.

p.s. I'm guessing they make a small amount of money on each purchase through Amazon Associates referral fees.

I'm Quoted in PCWorld!

Juan Carlos Perez from IDG News Service (the parent company of PCWorld) contacted me today to ask if I'd be interested in speaking with him about the Amazon Web Services offerings. He explained that he was writing an article on the subject and wanted to hear how customers felt about it. We had a nice chat late this morning. I let him know that I've experimented with EC2 and S3, but haven't done any production work with either. I made sure to plug the Boston Scalability User Group (of which I've been a member since the first meeting) and mentioned that we'd already had Mike Culver of Amazon as a speaker.

The result was an article which appeared in PCWorld: "Amazon.com Eyes CIOs With Its AWS Cloud IT Services". My quotes were pretty clunky (apparently me thinks and me writes more gooder than me talks :) ), but I think readers will at least be able to figure out what I meant.

Update: the article also appears in InfoWorld and ComputerWorld Norway

Another Update: I contacted the reporter about the clunkiness of my quotes.  He said that since the article had already been published, he would have to run any changes by his editors and it would effectively be treated as a retraction/correction.  That's obviously overkill, so I guess I'll just have to live it and follow his suggestion for next time: ask the author to run quotes by me before the article is filed.