During my vacation, a blog post went up on the Wind River blog with an interview with Hyungmin Cho, a researcher at Stanford. Hyungmin has done some seriously heavy and cool work with Simics, using it together with a circuit-level simulator to investigate error resiliency in hardware devices, and how errors propagate from hardware into the software. As part of this process, he has setup an automated test system using Simics, and this system has done more than a million automated Simics runs. That is an insane number – I have been using Simics for twelve years now, and if I had used it every day for all these years, I would have had to start 10 runs per hour, every hour of the day. It shows the power of automation along with parallel runs on clusters of machines – once the setup is automated, you can pour on the volume.
Today here at the MCC 2009 workshop, I heard an interesting talk by David Black-Schaffer of Stanford university. His work is on stream programming for image processing (“2D streams”). Pretty simple basic idea, to use 2D blobs of pixels as kernel inputs rather than single values or vectors. Makes eminent sense for image processing.