Posts Tagged “cuda”

I have been working on a project using oclHashcat this afternoon and started to look into an error that has existed on a development server where we use oclHashcat for quite some time. After some digging around I am confident that regardless of the error existing there is not an issue but I wanted to post an article related to the error in case anyone else looked for a resolution to the error. Below is information on the libOpenCL.so error and my thoughts regarding the error.

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I recently upgraded crark on a CentOS Linux server from an earlier version to Crark version 3.3a. Initially it looked as if everything worked without problems and the speeds were improved slightly over the previous version of crark I had installed. After the initial testing though I noticed an issue when attempting to run crark from a directory besides the one I had unpacked all of the contents in and received some errors. Below is output showing the crark errors along with what was done to resolve the issue.

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If you have been keeping up with the development on our tools server you will know that we just did a big rebuild and I was looking for a way to monitor the GPU temperatures. Yesterday I wrote a article about how to get these temperatures on a linux server which does not have a X-server installed. Alex is currently writing some custom Cacti plugins to monitor temps but in the meantime I decided to figure out another way. I have never needed to use Gnuplot for anything and I figured this was as good a time as any to learn.

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So as every one knows we just rebuilt our massive cracking server.  On the old server I was doing temperature monitoring with LM_Sensors, which for CPU temps is very good but I was not to sure about its accuracy on GPU Temperatures. So I decided to do some investigation into another solution.

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While building the CUDA Multiforcer on CentOS Linux I ran into a couple of different errors. One of the errors is noted below in more detail along with how I was able to resolve the error. The problem ended up being that I didn’t build the common Nvidia SDK tools before proceeding with installing the CUDA Multiforcer which is compiled from within the Nvidia SDK directory.

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