Herschel Machine, Next Batch

A quick update to say that as of Dec. 30, the machine is up and running with the next batch of ~120 new sweeps. We have streamlined our process of inputting data and syncing the content management database with the activities of the simulator. If all goes smoothly, the next step will be to input…

VM/RDF Workshop

Clinton Heider and I taught a workshop yesterday on virtualization, cloud computing, and creative uses of Rice’s new private cloud (ORION) in conjunction with our DAVinCI supercomputing cluster and our Research Data Facility (RDF). The 70-minute video of the presentation is embedded below.

Shakespeare Parameter Sweep

My Ariel game is slow (though the results are serendipitous — JSTOR’s data produces some incredible intertexts), so I’ve started running what is, effectively, a parameter sweep on the dataset. I’m pre-calculating all the different results for playing the game with passages of length n. In other words, the supercomputer is essentially playing out all…

Herschel Machine Introduction

I’ve been working for a couple years now with interdisciplinary partners at Rice University to make transmedia objects that productively interfere with our control-based logic of interactivity. The first, our Electronic Vesalius has a piece coming out in February with MIT’s Leonardo. I’ve written about our process here and there on the blog, do scroll…

Efficiency Test

I have updated the below graph and relevant numbers based on further scaled-up jobs run Friday afternoon and evening. There are some internal hiccups in the job now that I’ve pushed it so far, but it seems only to run faster the more processors I throw at it, and it has yet to crash. I’ve…

Deep dive

My previous posts didn’t fully explain the significance or methods of Ariel, so here’s a little bit of a deep dive, hopefully without losing people or annoying people too much or giving away the farm. The Ariel project attempts to create an intertextual reading interface, that leads readers from one passage in Shakespeare to the…

Lightning

After working between different supercomputing paradigms (HTC and MPI), encountering educational but maddening bottlenecks, and slowly learning how to optimize a big data analysis job, I have (finally) successfully catalogued every time that one line in Shakespeare’s plays was cited in a JSTOR-hosted article alongside another play line. If you’re interested in the history and…

MPI

The Shakespeare Game (Ariel) project that a few of us have been working on has afforded me opportunities to learn how to use supercomputing infrastructures. I’ve mentioned before that the HTCondor system at Madison was where I cut my teeth on parallel computing. For the last couple months, however, I’ve been learning in my spare…

Middle Distance Reading

In on a Sunday to, among other things, layer some more data into the Shakespeare database that runs the intra-corpus inter-textual association “game” that I’m calling Ariel for the time being. I had expected a process I started Friday evening to be completed by now, but it isn’t. I probably should have run it on…

Quantifying Addictive Pleasure, from Gary Becker to Thomas De Quincey

Update: My talk is now available. Quantifying Addictive Pleasure, From Gary Becker to Thomas De Quincey from John Mulligan on Vimeo. Health Museum’s Facebook page: https://www.facebook.com/thehealthmuseum/videos/10155192733946267/ Tonight at 5:30 I’m giving a talk at the Health Museum (1515 Hermann Drive) that provides a brief history of quantifying addictive pleasure, as part of the 2017 History…