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• Multiple LiveCD iso's on a single USB drive

  - by Keck

  I am looking to create a USB flash drive that I can put multiple LiveCD iso's on and select which boots from startup. The ideal candidate supports linux and windows based iso's, and is relatively simple. It also must have some reasonable process for adding and removing iso from the drive/list. Things that I'm not looking for this specific question: UBCD or other swiss-army knife livecd's. The point is to boot any one of multiple CD's, not to boot a (certainly useful) utility CD. Installing a single LiveCD to a USB drive. I'd like to have multiple iso images, selectable at startup. I don't have a specific purpose in mind, possibilties include a single drive with a knoppix variant, ubuntu desktop, UBCD for dos, UBCD4Win, the Offline NT Password Cracker, etc. Flexible and easy to use are the name of the game!

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• Cache consistency & spawning a thread

  - by Dave Keck

  Background I've been reading through various books and articles to learn about processor caches, cache consistency, and memory barriers in the context of concurrent execution. So far though, I have been unable to determine whether a common coding practice of mine is safe in the strictest sense. Assumptions The following pseudo-code is executed on a two-processor machine: int sharedVar = 0; myThread() { print(sharedVar); } main() { sharedVar = 1; spawnThread(myThread); sleep(-1); } main() executes on processor 1 (P1), while myThread() executes on P2. Initially, sharedVar exists in the caches of both P1 and P2 with the initial value of 0 (due to some "warm-up code" that isn't shown above.) Question Strictly speaking – preferably without assuming any particular CPU – is myThread() guaranteed to print 1? With my newfound knowledge of processor caches, it seems entirely possible that at the time of the print() statement, P2 may not have received the invalidation request for sharedVar caused by P1's assignment in main(). Therefore, it seems possible that myThread() could print 0. References These are the related articles and books I've been reading. (It wouldn't allow me to format these as links because I'm a new user - sorry.) Shared Memory Consistency Models: A Tutorial hpl.hp.com/techreports/Compaq-DEC/WRL-95-7.pdf Memory Barriers: a Hardware View for Software Hackers rdrop.com/users/paulmck/scalability/paper/whymb.2009.04.05a.pdf Linux Kernel Memory Barriers kernel.org/doc/Documentation/memory-barriers.txt Computer Architecture: A Quantitative Approach amazon.com/Computer-Architecture-Quantitative-Approach-4th/dp/0123704901/ref=dp_ob_title_bk

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• Importing Sqlite data into Google App Engine

  - by Keck

  I have a relatively extensive sqlite database that I'd like to import into my Google App Engine python app. I've created my models using the appengine API which are close, but not quite identical to the existing schema. I've written an import script to load the data from sqlite and create/save new appengine objects, but the appengine environment blocks me from accessing the sqlite library. This script is only to be run on my local app engine instance, and from there I hope to push the data to google. Am I approaching this problem the wrong way, or is there a way to import the sqlite library while running in the local instance's environment?

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