10-05-2009
Quote:
micro-parallel = algorithm cut up into its smallest independent units, so that the performance will be directly proportional to the number of processor cores up to the maximum number of independent units. Inter-thread communication needs to be close to instantaneous for this relation to hold.
CUDA would seem to be a good fit. If you go this route, I recommand that you use a card with a GPU which supports compute capability 1.3 such as the GeForce GTX 260.
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LEARN ABOUT DEBIAN
intel_gpu_top
intel_gpu_top(1) General Commands Manual intel_gpu_top(1)
NAME
intel_gpu_top - Display a top-like summary of Intel GPU usage
SYNOPSIS
intel_gpu_top
intel_gpu_top [ parameters ]
DESCRIPTION
intel_gpu_top is a tool to display usage information of an Intel GPU. It requires root privilege to map the graphics device.
Options
-s [samples per second]
number of samples to acquire per second
-o [output file]
collect usage statistics to [file]. If file is "-", run non-interactively and output statistics to stdout.
-e ["command to profile"]
execute a command, and leave when it is finished. Note that the entire command with all parameters should be included as one parame-
ter.
-h show usage notes
EXAMPLES
intel_gpu_top -o "cairo-trace-gvim.log" -s 100 -e "cairo-perf-trace /tmp/gvim"
will run cairo-perf-trace with /tmp/gvim trace, non-interactively, saving the statistics into cairo-trace-gvim.log file, and col-
lecting 100 samples per second.
Note that idle units are not displayed, so an entirely idle GPU will only display the ring status and header.
BUGS
Some GPUs report some units as busy when they aren't, such that even when idle and not hung, it will show up as 100% busy.
X Version 11 intel-gpu-tools 1.2 intel_gpu_top(1)