Wednesday, July 27, 2011

Amazing color pictures from the Battle of Britain.

Love the shot of the guy sitting on a park bench, reading a book.

Friday, July 22, 2011

It appears The Won and his criminal conspirators are working as hard as possible to put as many guns as possible in the hands of those not covered by the Second Amendment to the US Constitution.

So the ensuing violence justifies vitiating the Second Amendment to the US Constitution,

Because you never want to let a crisis go to waste, right?

Thursday, July 21, 2011

Of late I've been learning about parallel processing. I've been working in C, trying to talk to the GPU on one of my laptops (a Dell XPS M1530 running Ubuntu 11.04). Here's what I got, today:


satan@satanslittlehelper:~/NVIDIA_GPU_Computing_SDK/C$ bin/linux/release/deviceQuery
[deviceQuery] starting...
bin/linux/release/deviceQuery Starting...

CUDA Device Query (Runtime API) version (CUDART static linking)

Found 1 CUDA Capable device(s)

Device 0: "GeForce 8600M GT"
CUDA Driver Version / Runtime Version 4.0 / 4.0
CUDA Capability Major/Minor version number: 1.1
Total amount of global memory: 256 MBytes (268107776 bytes)
( 4) Multiprocessors x ( 8) CUDA Cores/MP: 32 CUDA Cores
GPU Clock Speed: 0.95 GHz
Memory Clock rate: 702.00 Mhz
Memory Bus Width: 128-bit
Max Texture Dimension Size (x,y,z) 1D=(8192), 2D=(65536,32768), 3D=(2048,2048,2048)
Max Layered Texture Size (dim) x layers 1D=(8192) x 512, 2D=(8192,8192) x 512
Total amount of constant memory: 65536 bytes
Total amount of shared memory per block: 16384 bytes
Total number of registers available per block: 8192
Warp size: 32
Maximum number of threads per block: 512
Maximum sizes of each dimension of a block: 512 x 512 x 64
Maximum sizes of each dimension of a grid: 65535 x 65535 x 1
Maximum memory pitch: 2147483647 bytes
Texture alignment: 256 bytes
Concurrent copy and execution: Yes with 1 copy engine(s)
Run time limit on kernels: Yes
Integrated GPU sharing Host Memory: No
Support host page-locked memory mapping: Yes
Concurrent kernel execution: No
Alignment requirement for Surfaces: Yes
Device has ECC support enabled: No
Device is using TCC driver mode: No
Device supports Unified Addressing (UVA): No
Device PCI Bus ID / PCI location ID: 1 / 0
Compute Mode:
< Default (multiple host threads can use ::cudaSetDevice() with device simultaneously) >

deviceQuery, CUDA Driver = CUDART, CUDA Driver Version = 4.0, CUDA Runtime Version = 4.0, NumDevs = 1, Device = GeForce 8600M GT
[deviceQuery] test results...


So, it looks like I have 32 processors available to play with. My hentai pr0n rendering will *fly*!!!

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