Change Kindle Network Provider
More a note for myself than anyone else. Stolen shamelessly from Marc Fletcher. In Settings, alt+e,alt+q, alt+q.
More a note for myself than anyone else. Stolen shamelessly from Marc Fletcher. In Settings, alt+e,alt+q, alt+q.
I’ve discovered a strange undocumented* ‘feature’ of the Amazon Kindle document Delivery system. As it stands, if you send a document to [email protected] or @kindle.com, the document is sent onto your device at its convenience. Generally this is fine, but for most documents that people actually use (PDFs) this can be a pain as the service says it does not support PDF reflow, and on a smaller than A4/Letter screen, lovely documents end up looking like this… ...
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Just under a month after ordering, with a shipping schedule fraught with manufacturing delays and pushed-back dispatch dates (Not complaining, I’m not the only one so everyone was shocked by the demand also) I recieved my new UK kindle 3g at 11 this morning. Immediately I loaded some math-loaded PDF’s which the free.amazon.com document converter handled with ease, then started going through my usual list of sites on the free 3G network, Twitter (largley fine but sluggish), Facebook (buggy with regards to javascript elements, occasionally freezing completely needing to be latched-off and on again) Google-Apps Mail(constantly refreshing and wouldn’t load stably), google reader (worked perfectly out of the box including keyboard shortcuts, which are awesome!) and my ToDo list of late, TeuxDeux (sluggish and slightly misaligned, but usable) ...
If anyone has any interest in CUDA, or GPU/Parallel programming in general, David B. Kirk and Wen-mei Hwu’s groundbreaking “Programming Massively Parallel Processors” is a must. ** The sub-title of the book is “A Hands on Approach” and I didn’t get it until a third of the way through the book, that that’s exactly what it is. The pairing of Kirk, a NVIDIA Fellow, outgoing NVIDIA Chief Scientist and generally world-weary technologist and all round ‘hardware guru’ with Hwu, a well-heeled educator and researcher at the University of Illinois provide a practical but in-depth look at not just the pure ‘programming’ to deal with massivly parallel processing, but instead assumes that the reader can work out for instance how to do Matrix Multiplication the ‘basic’ way from looking at the NVIDIA CUDA API’s, and looks at how to take advantage of the hardware to give sometimes incredible speed increases. ...