CUDA: Difference between revisions

"65K" ?!
 
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nvidia 0000:07:00.0: setting latency timer to 64
nvidia 0000:07:00.0: setting latency timer to 64
NVRM: loading NVIDIA UNIX x86_64 Kernel Module  190.53  Wed Dec  9 15:29:46 PST 2009</pre>
NVRM: loading NVIDIA UNIX x86_64 Kernel Module  190.53  Wed Dec  9 15:29:46 PST 2009</pre>
Once the module is loaded, CUDA should be able to find the device. See [[CUDA#deviceQuery_Output|below]] for sample outputs. Each device has a '''compute capability''', though this does not encompass all differentiated capabilities (see also <tt>deviceOverlap</tt> and <tt>canMapHostMemory</tt>...). Note that "emulation mode" has been removed as of CUDA Toolkit Version 3.1.
Once the module is loaded, CUDA should be able to find the device. See [[CUDA#deviceQuery_Output|below]] for sample outputs. Each device has a [[CUDA#Compute_Capabilities|compute capability]], though this does not encompass all differentiated capabilities (see also <tt>deviceOverlap</tt> and <tt>canMapHostMemory</tt>...). Note that "emulation mode" has been removed as of CUDA Toolkit Version 3.1.


==CUDA model==
==CUDA model==
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===Streaming Multiprocessor===
===Streaming Multiprocessor===
* Each SM has a register file, fast local (''shared'') memory, a cache for constant memory, an instruction cache (ROP), a multithreaded instruction dispatcher, and some number of [[#Stream Processor|Stream Processors]] (SPs).
* Each SM has a register file, fast local (''shared'') memory, a cache for constant memory, an instruction cache (ROP), a multithreaded instruction dispatcher, and some number of [[#Stream Processor|Stream Processors]] (SPs).
** 8192 registers for compute capability <= 1.1, otherwise
** 8K registers for compute capability <= 1.1, otherwise
** 16384 for compute capability <= 1.3, otherwise
** 16K for compute capability <= 1.3, otherwise
** 32768 for compute capability <= 2.1, otherwise
** 32K for compute capability <= 2.1, otherwise
** 65k through at least compute capability 3.5
** 64K through at least compute capability 3.5
* A group of threads which share a memory and can "synchronize their execution to coördinate accesses to memory" (use a [[barrier]]) form a '''block'''. Each thread has a ''threadId'' within its (three-dimensional) block.
* A group of threads which share a memory and can "synchronize their execution to coördinate accesses to memory" (use a [[barrier]]) form a '''block'''. Each thread has a ''threadId'' within its (three-dimensional) block.
** For a block of dimensions &lt;D<sub>x</sub>, D<sub>y</sub>, D<sub>z</sub>&gt;, the threadId of the thread having index &lt;x, y, z&gt; is (x + y * D<sub>x</sub> + z * D<sub>y</sub> * D<sub>x</sub>).
** For a block of dimensions &lt;D<sub>x</sub>, D<sub>y</sub>, D<sub>z</sub>&gt;, the threadId of the thread having index &lt;x, y, z&gt; is (x + y * D<sub>x</sub> + z * D<sub>y</sub> * D<sub>x</sub>).