Comment fracking autocomplete....COTS (Score 0) 68
Or did they just go CORD and use a legislation man
Comment was the "miniture autopilot" also printed? (Score 0) 68
Or did they just go CORD and use a legislation man
Comment Should I turn off javascript in my browser for now (Score 4, Funny) 180
Or is it only a desktop problem?
Comment Re:Wierd (Score 1) 210
"The google account tied to my phone is completely unrelated to the google account that has my email/etc. What sort of crazy person wouldn't create a random google account when setting up the phone in the first place?" - nedlohs
Ahhhhh.. I guess when Google revokes your account you'll ring up and complain using your pseudonymous name right!
Comment Re:Wierd (Score 1) 210
From the summary!
"As we've heard in cases of pseudonym-users in Google+"
Comment Wierd (Score 1) 210
Why would you create an anonymous google account and then use your real name when complaining that it was deleted?
Comment Avatars (Score 1) 509
, which will all drive around in beautiful zero fatality volvo cars going to parties where they get high on "zero hangover" electro stimulatives whilst our physical bodies lie comfortable in the "zero bedsores" reality projection gel units.
Submission + - NVIDIA CUDA Slashes Compute Times for MATLAB Users (hpcwire.com)
kotku writes: NVIDIA CUDA Slashes Compute Times for MATLAB Users
"SANTA CLARA, Calif., July 16 — NVIDIA has released a plug-in example for MATLAB, a high-level language and interactive environment created by MathWorks that enables users to perform computationally intensive tasks faster than with traditional programming languages. NVIDIA's MATLAB plug-in example allows MATLAB programs to utilize standard GPU libraries for application speed ups. The plug-in is also outfitted to allow users to write their own libraries enabling them to take the performance critical piece of their code and harness the capabilities of the GPU through the NVIDIA CUDA software environment."
"GPGPU, or "General-Purpose Computation on GPUs", has traditionally required the use of a graphics API such as OpenGL, which presents the wrong abstraction for general-purpose parallel computation. Therefore, traditional GPGPU applications are difficult to write, debug, and optimize. NVIDIA GPU Computing with CUDA enables direct implementation of parallel computations in the C language using an API designed for general-purpose computation."
"A typical MATLAB simulation of 2D isotropic turbulence at a resolution suitable for scientific publications (1024x1024) until recently would take a couple of days," said Andy Keane, general manager of the GPU computing business unit at NVIDIA. "With the CUDA plug-ins we can perform the same simulation in 4 hours, a 12X increase, and with more optimizations, we can get this even faster."
"SANTA CLARA, Calif., July 16 — NVIDIA has released a plug-in example for MATLAB, a high-level language and interactive environment created by MathWorks that enables users to perform computationally intensive tasks faster than with traditional programming languages. NVIDIA's MATLAB plug-in example allows MATLAB programs to utilize standard GPU libraries for application speed ups. The plug-in is also outfitted to allow users to write their own libraries enabling them to take the performance critical piece of their code and harness the capabilities of the GPU through the NVIDIA CUDA software environment."
"GPGPU, or "General-Purpose Computation on GPUs", has traditionally required the use of a graphics API such as OpenGL, which presents the wrong abstraction for general-purpose parallel computation. Therefore, traditional GPGPU applications are difficult to write, debug, and optimize. NVIDIA GPU Computing with CUDA enables direct implementation of parallel computations in the C language using an API designed for general-purpose computation."
"A typical MATLAB simulation of 2D isotropic turbulence at a resolution suitable for scientific publications (1024x1024) until recently would take a couple of days," said Andy Keane, general manager of the GPU computing business unit at NVIDIA. "With the CUDA plug-ins we can perform the same simulation in 4 hours, a 12X increase, and with more optimizations, we can get this even faster."
