What would you do with 2 petaflops of processing power? It’s not an idle question: NSF’s XSEDE infrastructure offers researchers access to large-scale computing resources. I spent the last week at the San Diego Supercomputer Center, which hosts an annual Summer Institute to introduce scientists from many disciplines to high-performance computing technologies. Tissue engineering doesn’t have a lot of petascale problems but I did learn a lot about tools that can help me write more performant code on single and multi-processor systems—even in Python, my favorite programming language. ~And~ I got to take a selfie with a supercomputer.
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I needed an accurate and inexpensive temperature logger to calibrate our stage incubator for live cell microscopy and make sure that it was stable over time, so I built one. This was a very quick project, using a $30 Dataq DI-145 data logger and a $4 epoxy-coated thermistor from Adafruit. (To power the thermistor from USB, which is safe and easy, add a micro-USB breakout board, a matching USB cable, and a small solderless breadboard for the complete package!)
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Here are the incantations you need to perform to create a Cairo surface from a grayscale image in a Numpy array, doodle on it, and convert the doodled-upon image back into a Pillow image so you can save it as e.g. a JPEG.
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I'm starting a list of nice bike loops around UCI, for "beginning to medium" cyclists like me. No gratuitous hills in there yet, but maybe I'll get bored of flat roads eventually!
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Here’s what’s on my ballot for anything that isn’t municipal or judicial.
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