How can an EE major looking to get into HPC bolster their CS foundation? Post: 302910330

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Special Forums UNIX and Linux Applications High Performance Computing How can an EE major looking to get into HPC bolster their CS foundation? Post 302910330 by figaro on Wednesday 23rd of July 2014 03:44:54 PM

07-23-2014

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Watching some youtube videos on supercomputing is always a good way to follow the current trends.
Most of our client base uses C# for computing large scale calculation applications. But for the true heavy-duty computations there is really no alternative to C++ on Linux, including from a career perspective. So you will probably delve into g++ and possibly also clang for the extra debugging messages.
A solid understanding of how databases operate and a ready knowledge of how database performance can be increased is also required.
Finally, if you have an nVidia GPU card, there is CUDA for parallelising your application. Else - going really high end - you may have a coprocessor from Intel, such as the Xeon Phi. That in turn requires its own Intel compiler / debugger, which also readily supports parallelism.

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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 1.3						  intel_gpu_top(1)