… Ok, the speaker said far more than that. But one of his central theses is that in this “second” machine revolution, we are enabling data driven decision making, distributed decision and consensus, as well as expanding beyond the confines of specific expertise in a field. The latter I’ve heard described as cross fertilization … gather a bunch of smart people “together” and give them a problem spec. Let them run with it.

As seen here. I like the enTANGOeled photons. Not sure how I’d do mine, but its at least amusing to think through.

Our machines will be there, helping power the genomics pipelines to tremendous performance. Performance is an enabling feature. Without it you cannot even begin to hope to perform massive scale analytics. With it, you can dream impossible dreams. This article came out talking about a massive performance analytics pipeline at Nationwide Children’s Hospital in Ohio. This pipeline runs on a cluster attached to Scalable Informatics FastPath Unison storage. This is a very dense, very fast system, interconnected with Mellanox FDR Infiniband, Chelsio 40GbE, and leveraging BeeGFS from thinkparq.

My soon to be 15 year old daughter was engrossed with something on her laptop yesterday. Thinking it was fan-fiction, I asked her what she was writing. She knitted her brow for a moment, and looked up. “Its code combat Dad.” she said, quite matter of factly. I must have had a slightly startled expression on my face. I knew she had dabbled with it, and had recommended (/sigh) Python as a language, after she took (and aced) a Java class last year, as Python is inherently simpler.

From kernel.org

This is Michael Crichton of Andromeda Strain, Jurassic park, and other stories. Fantastic story teller, he absolutely nails his subject. The original was on his website, and I grabbed a copy from here. One of the wonderful quotable paragraphs within is this: A real scientist is, by its own very definition, a skeptic.