Cal Paterson - Slashdot User

Submission + - Ebook Readers Where are they now?

Submitted by

Patrik_AKA_RedX

on Friday March 09, 2007 @03:02AM

Patrik_AKA_RedX writes: "I spend quite sometime on the bus each day, and most of it I spend reading. A lot of it I get from the net and have to print to take with me. IMO this is a bit of a waste of perfectly good trees so I was looking for an alternative. I've tried taking a laptop, but even the compact Armada M300 is quite cumbersome. Real Ebook readers haven't shown up in stores around here yet, the closest thing I've found is a MP4 player with ebook support, which didn't specify how much this support actually is. My question is what ebook reader-device do you have and is it worth the trouble? Also which of these devices are available in Europe?"

Submission + - Open Architecture Network for the good of Humanity

Submitted by RobBebop on Friday March 09, 2007 @02:25AM

RobBebop writes: The organization Architecture for Humanity has just launched the beta version of their Open Architecture Network website. The goal of the Open Architecture Network is to be the SourceForge of the art of Building Sciences by allowing blueprints, engineering specs, and construction tips to be shared in a community. An article from Wired includes more detail, "The site is built so people can upload info, comment on and, in some cases, download building or project specs". There is also an interview with the co-creators Cameron Sinclair & Kate Stohr at the end of the article.

Submission + - Auto-parallelizing compiler from Codeplay

Submitted by

Max Romantschuk

on Friday March 09, 2007 @02:21AM

Max Romantschuk writes: "Parallelization of code is a very tricky thing. We've all heard of the challeges with Cell, and with dual and quad core pocessors this is becoming an ever more important issue to deal with. The Inquirer writes about a new auto-parallelizing compiler called Sieve from Codeplay: What Sieve is is a C++ compiler that will take a section of code and parallelize it for you with a minimum hassle. All you really need to do is take the code you want to run across multiple CPUs and put beginning and end tags on the parts you want to run in parallel.

Is this the Silver Bullet of parallelization? There's more info on Sieve on Codeplay's site."

Slashdot Top Deals