CudaMiner Installation In Ubuntu 12.04 LTS Using CUDA Toolkit 5.5 And “Additional NVIDIA Drivers”

December 28th, 2013

Author’s Note 1: It is my standard policy to put too much info into guides so that those who are searching for specific problems they come across will find the offending text in their searches. With luck, your “build error” search sent you here.

Author’s Note 2: It’s not as bad as it looks (I’ve included lots of output and error messages for easy searching)!

Author’s Note 3: I won’t be much help for you in diagnosing your errors, but am happy to tweak the text below if something is unclear.

Conventions: I include both the commands you type in your Terminal and some of the output from these commands, the output being where most of the errors appear that I work on in the discussion.

Input is formatted as below:

Text you put in (copy + paste should be fine)

Output is formatted as below:

Text you get out (for checking results and reproducing errors)

1. Introduction

This work began as an attempt to build a CUDA-friendly version of the molecular dynamics package GROMACS (which will come later) but, for reasons stemming from a new local Syracuse Meetup Group (Bitcoin’s of New York – Miner’s of Syracuse. Consider joining!), the formation of our very own local mining pool (Salt City Miners, miner.saltcityminers.com. Consider joining!), plus a “what the hell” to see if it was an easy build or not, transformed into the CudaMiner-centric compiling post you see here.

NOTE: This will be a 64-bit-centric install but I’ll include 32-bit content as I’ve found the info on other sites.

2. Installing The NVIDIA Drivers (Two Methods, The Easy One Described)

Having run through this process many times in a fresh install of Ubuntu 12.04 LTS (so nothing else is on the machine except 12.04 LTS, its updates, a few extra installs, and the CUDA/CudaMiner codes), I can say that what is below should work without hitch AFTER you install the NVIDIA drivers. Once your NVIDIA card is installed and Ubuntu recognizes it, you’ve two options.

2A. Install The Drivers From An NVIDIA Download (The Hard Version)

A few websites (and several repostings of the same content) describe the process of installing the NVIDIA drivers the olde-fashioned way, in which you’ll see references to “blacklist nouveau,” “sudo service lightdm stop,” Ctrl+Alt+F1 (to get you to a text-only session), etc. You hopefully don’t need to do this much work for your own NVIDIA install, as Ubuntu will do it for you (with only one restart required).

2B. Install The Drivers After The “Restricted Drivers Available” Pop-Up Or Go To System Settings > Available Drivers (The Easy, Teenage New York Version)

I took the easy way out by letting Ubuntu do the dirty work. The result is the installation of the (currently, as of 28 Dec 2013) v. 319 NVIDIA accelerated graphics driver. For my NVIDIA cards (GTX 690 and a GTX 650 Ti, although I assume it’s similar for a whole class of NVIDIA cards), you’re (currently, check the date again) given the option of v. 304. Don’t! I’ve seen several mentions of CudaMiner (and some of the cuds toolkit) requiring v. 319.


Caption: You may see it in the upper right (after an install or if you’ve not clicked on it before)


Caption: Or System Settings > Additional Drivers


Caption: Either way, you’ll hopefully get to an NVIDIA driver list like above.

3. Pre-CUDA Toolkit Install

There are a few apt-get’s you need to do before installing the CUDA Toolkit (or, at least, the consensus is that these must be done. I’ve not seen a different list in any posts and I didn’t bother to install one-by-one to see which of these might not be needed).

If you perform the most commonly posted apt-get (plus and update and upgrade if you’ve not done so lately):

user@host:~/$ sudo apt-get update
user@host:~/$ sudo apt-get upgrade
user@host:~/$ sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev

You’ll get the following error from a fresh 12.04 LTS install:

Reading package lists… Done
Building dependency tree
Reading state information… Done
libglu1-mesa is already the newest version.
libglu1-mesa set to manually installed.
Some packages could not be installed. This may mean that you have
requested an impossible situation or if you are using the unstable
distribution that some required packages have not yet been created
or been moved out of Incoming.
The following information may help to resolve the situation:

The following packages have unmet dependencies:
libgl1-mesa-glx : Depends: libglapi-mesa (= 8.0.4-0ubuntu0.6)
Recommends: libgl1-mesa-dri (>= 7.2)
E: Unable to correct problems, you have held broken packages.

The solution here is simple. Add libglapi-mesa and libgl1-mesa-dri to your install.

user@host:~/$ sudo apt-get install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev libglapi-mesa libgl1-mesa-dri

Doing this will add a bunch of programs and libraries (listed below):

The following extra packages will be installed:
dpkg-dev freeglut3 g++ g++-4.6 libalgorithm-diff-perl libalgorithm-diff-xs-perl
libalgorithm-merge-perl libdpkg-perl libdrm-dev libgl1-mesa-dev libice-dev libkms1 libllvm3.0
libpthread-stubs0 libpthread-stubs0-dev libsm-dev libstdc++6-4.6-dev libtimedate-perl libx11-doc
libxau-dev libxcb1-dev libxdmcp-dev libxext-dev libxmu-headers libxt-dev mesa-common-dev
x11proto-core-dev x11proto-input-dev x11proto-kb-dev x11proto-xext-dev xorg-sgml-doctools
xserver-xorg xserver-xorg-core xserver-xorg-input-evdev xtrans-dev
Suggested packages:
debian-keyring g++-multilib g++-4.6-multilib gcc-4.6-doc libstdc++6-4.6-dbg libglide3
libstdc++6-4.6-doc libxcb-doc xfonts-100dpi xfonts-75dpi
The following packages will be REMOVED:
libgl1-mesa-dri-lts-raring libgl1-mesa-glx-lts-raring libglapi-mesa-lts-raring
libxatracker1-lts-raring x11-xserver-utils-lts-raring xserver-common-lts-raring
xserver-xorg-core-lts-raring xserver-xorg-input-all-lts-raring xserver-xorg-input-evdev-lts-raring
xserver-xorg-input-mouse-lts-raring xserver-xorg-input-synaptics-lts-raring
xserver-xorg-input-vmmouse-lts-raring xserver-xorg-input-wacom-lts-raring xserver-xorg-lts-raring
xserver-xorg-video-all-lts-raring xserver-xorg-video-ati-lts-raring
xserver-xorg-video-cirrus-lts-raring xserver-xorg-video-fbdev-lts-raring
xserver-xorg-video-intel-lts-raring xserver-xorg-video-mach64-lts-raring
xserver-xorg-video-mga-lts-raring xserver-xorg-video-modesetting-lts-raring
xserver-xorg-video-neomagic-lts-raring xserver-xorg-video-nouveau-lts-raring
xserver-xorg-video-openchrome-lts-raring xserver-xorg-video-r128-lts-raring
xserver-xorg-video-radeon-lts-raring xserver-xorg-video-s3-lts-raring
xserver-xorg-video-savage-lts-raring xserver-xorg-video-siliconmotion-lts-raring
xserver-xorg-video-sis-lts-raring xserver-xorg-video-sisusb-lts-raring
xserver-xorg-video-tdfx-lts-raring xserver-xorg-video-trident-lts-raring
xserver-xorg-video-vesa-lts-raring xserver-xorg-video-vmware-lts-raring
The following NEW packages will be installed:
build-essential dpkg-dev freeglut3 freeglut3-dev g++ g++-4.6 libalgorithm-diff-perl
libalgorithm-diff-xs-perl libalgorithm-merge-perl libdpkg-perl libdrm-dev libgl1-mesa-dev
libgl1-mesa-dri libgl1-mesa-glx libglapi-mesa libglu1-mesa-dev libice-dev libkms1 libllvm3.0
libpthread-stubs0 libpthread-stubs0-dev libsm-dev libstdc++6-4.6-dev libtimedate-perl libx11-dev
libx11-doc libxau-dev libxcb1-dev libxdmcp-dev libxext-dev libxi-dev libxmu-dev libxmu-headers
libxt-dev mesa-common-dev x11proto-core-dev x11proto-input-dev x11proto-kb-dev x11proto-xext-dev
xorg-sgml-doctools xserver-xorg xserver-xorg-core xserver-xorg-input-evdev xtrans-dev

And, remarkably, that’s it for the pre-install.

4. CUDA Toolkit 5.5(.22) Install

The CUDA Toolkit install starts with its 810 MB download at developer.NVIDIA.com/cuda-downloads.

Obviously, be aware of the 32- and 64-bit options. Also, the .deb doesn’t currently download, leaving you to grab the .run file (same difference, I haven’t bothered to find out why the .deb doesn’t fly yet).

Off to your Terminal and into the Downloads folder:

user@host:~/$ cd Downloads
user@host:~/Downloads$ chmod +x cuda_5.5.22_linux_64.run
user@host:~/Downloads$ sudo ./cuda_5.5.22_linux_64.run

Which will produce:

Logging to /tmp/cuda_install_14755.log
Using more to view the EULA.
End User License Agreement
. . .
and cannot be linked to any personally identifiable
information. Personally identifiable information such as your
username or hostname is not collected.


Finally, some input to be had after the scrolling:

Do you accept the previously read EULA? (accept/decline/quit): accept     
Install NVIDIA Accelerated Graphics Driver for Linux-x86_64 319.37? ((y)es/(n)o/(q)uit): n
Install the CUDA 5.5 Toolkit? ((y)es/(n)o/(q)uit): y
Enter Toolkit Location [ default is /usr/local/cuda-5.5 ]: 
Install the CUDA 5.5 Samples? ((y)es/(n)o/(q)uit): y
Enter CUDA Samples Location [ default is /home/user/NVIDIA_CUDA-5.5_Samples ]: 

NOTE 1: Don’t install the NVIDIA Accelerated Graphics Driver!
NOTE 2: Yes, install the Toolkit.
NOTE 3: I will assume this location for all of the below, setting the location in the PATH.
NOTE 4: I installed the samples for testing (and found a few extra things that need installation for them).
NOTE 5: Default is fine. Once built and tested, can be deleted (although the Mandelbrot is a keeper)

Installing the CUDA Toolkit in /usr/local/cuda-5.5 …
Installing the CUDA Samples in /home/user/NVIDIA_CUDA-5.5_Samples …
Copying samples to /home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples now…
Finished copying samples.

= Summary =

Driver: Not Selected
Toolkit: Installed in /usr/local/cuda-5.5
Samples: Installed in /home/user/NVIDIA_CUDA-5.5_Samples

* Please make sure your PATH includes /usr/local/cuda-5.5/bin

* Please make sure your LD_LIBRARY_PATH
* for 32-bit Linux distributions includes /usr/local/cuda-5.5/lib
* for 64-bit Linux distributions includes /usr/local/cuda-5.5/lib64:/lib
* OR
* for 32-bit Linux distributions add /usr/local/cuda-5.5/lib
* for 64-bit Linux distributions add /usr/local/cuda-5.5/lib64 and /lib
* to /etc/ld.so.conf and run ldconfig as root

* To uninstall CUDA, remove the CUDA files in /usr/local/cuda-5.5
* Installation Complete

Please see CUDA_Getting_Started_Linux.pdf in /usr/local/cuda-5.5/doc/pdf for detailed information on setting up CUDA.

***WARNING: Incomplete installation! This installation did not install the CUDA Driver. A driver of version at least 319.00 is required for CUDA 5.5 functionality to work.
To install the driver using this installer, run the following command, replacing with the name of this run file:
.run -silent -driver

Logfile is /tmp/cuda_install_14755.log

And ignore the WARNING.

As per the “make sure” above, add the CUDA distro folders to your path and LD_LIBRARY_PATH (I chose not to modify ld.so.conf)

user@host:~/Downloads$ cd
user@host:~/$ nano .bashrc

Add the PATH and LD_LIBRARY_PATH as follows:


And then source the .bashrc file.

user@host:~/$ source .bashrc

5. NVIDIA_CUDA-5.5_Samples (And Finishing The Toolkit Install To Build CudaMiner)

The next set of installs and file modifications came from attempting to build the Samples in the NVIDIA_CUDA-5.5_Samples (or NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples depending on how your install did it) library, during which time I think I managed to hit all of the post-Toolkit install modifications needed to make the CudaMiner build problem-free. The OpenMPI install is optional, but I do hate error messages.

5A. Error 1: /usr/bin/ld: cannot find -lcuda

My first make attempt produced the following error:

user@host:~/$ cd NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples
user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples$ make

make[1]: Entering directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/asyncAPI’
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_10,code=sm_10 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=\”sm_35,compute_35\” -o asyncAPI.o -c asyncAPI.cu
. . .
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -I../../common/inc -m64 -o vectorAddDrv.o -c vectorAddDrv.cpp
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -m64 -o vectorAddDrv vectorAddDrv.o -L/usr/lib/NVIDIA-current -lcuda
/usr/bin/ld: cannot find -lcuda
collect2: ld returned 1 exit status
make[1]: *** [vectorAddDrv] Error 1
make[1]: Leaving directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/vectorAddDrv’
make: *** [0_Simple/vectorAddDrv/Makefile.ph_build] Error 2

This is solved by making a symbolic link for libcuda.so out of /usr/lib/NVIDIA-319/ and into /usr/lib/

NOTE: It doesn’t matter what directory you do this from. I’ve left off the NVIDIA_CUDA-5.5_Samples/ yadda yadda below.

user@host:~/$ sudo ln -s /usr/lib/NVIDIA-319/libcuda.so /usr/lib/libcuda.so

If you’re working through the build process and hit the error, run a “make clean” before rerunning.

5B. WARNING – No MPI compiler found.

The second build attempt produced the MPI Warning above.

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples$ make

make[1]: Entering directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/asyncAPI’
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_10,code=sm_10 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=\”sm_35,compute_35\” -o asyncAPI.o -c asyncAPI.cu
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -m64 -o asyncAPI asyncAPI.o
. . .
cp simpleCubemapTexture ../../bin/x86_64/linux/release
make[1]: Leaving directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/simpleCubemapTexture’
WARNING – No MPI compiler found.
CUDA Sample “simpleMPI” cannot be built without an MPI Compiler.
This will be a dry-run of the Makefile.
For more information on how to set up your environment to build and run this
sample, please refer the CUDA Samples documentation and release notes
make[1]: Entering directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/simpleMPI’
[@] mpicxx -I../../common/inc -o simpleMPI.o -c simpleMPI.cpp
. . .
mkdir -p ../../bin/x86_64/linux/release
cp histEqualizationNPP ../../bin/x86_64/linux/release
make[1]: Leaving directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/7_CUDALibraries/histEqualizationNPP’
Finished building CUDA samples

But otherwise finishes successfully.

To get around this warning, install OpenMPI (which is needed for multi-board GROMACS runs anyway. But, again, not needed for CudaMiner). The specific issue is the need for mpicc, which is in libopenmpi-dev (not openmpi-bin or openmpi-common).

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples$ mpicc
The program ‘mpicc’ can be found in the following packages:
* lam4-dev
* libmpich-mpd1.0-dev
* libmpich-shmem1.0-dev
* libmpich1.0-dev
* libmpich2-dev
* libopenmpi-dev
* libopenmpi1.5-dev
Try: sudo apt-get install

For completeness, I grab all three (and I’m ingnoring the NVIDIA_CUDA-5.5_Samples directory structure below).

user@host:~/$ sudo apt-get install openmpi-bin openmpi-common libopenmpi-dev

Running mpicc will now produce the following (so it’s there):

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples$ mpicc
gcc: fatal error: no input files
compilation terminated.

Now run a “make clean” if needed and make. The build should go without problem.

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples$ make

make[1]: Entering directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/0_Simple/asyncAPI’
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -I../../common/inc -m64 -gencode arch=compute_10,code=sm_10 -gencode arch=compute_20,code=sm_20 -gencode arch=compute_30,code=sm_30 -gencode arch=compute_35,code=\”sm_35,compute_35\” -o asyncAPI.o -c asyncAPI.cu
“/usr/local/cuda-5.5″/bin/nvcc -ccbin g++ -m64 -o asyncAPI asyncAPI.o
mkdir -p ../../bin/x86_64/linux/release
. . .
mkdir -p ../../bin/x86_64/linux/release
cp histEqualizationNPP ../../bin/x86_64/linux/release
make[1]: Leaving directory `/home/user/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/7_CUDALibraries/histEqualizationNPP’
Finished building CUDA samples

5C. Needed post-processing (lib glut, cuda.conf, NVIDIA.conf, and ldconfig)

The next round of problems stemmed from not being able to run the randomFog program in the new ~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release folder. I suspect the steps taken to remedy this also make all future CUDA-specific work easier, so list the issues and clean-up steps below.

Out of the list of build samples, I selected a few that worked without issue and, finally, randomFog that decidedly had issues:

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/$ cd bin/x86_64/linux/release
user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ls
alignedTypes HSOpticalFlow simpleCUBLAS
asyncAPI imageDenoising simpleCUDA2GL
bandwidthTest imageSegmentationNPP simpleCUFFT
batchCUBLAS inlinePTX simpleDevLibCUBLAS
bicubicTexture interval simpleGL
bilateralFilter jpegNPP simpleHyperQ
bindlessTexture lineOfSight simpleIPC
binomialOptions Mandelbrot simpleLayeredTexture
BlackScholes marchingCubes simpleMPI
boxFilter matrixMul simpleMultiCopy
boxFilterNPP matrixMulCUBLAS simpleMultiGPU
cdpAdvancedQuicksort matrixMulDrv simpleP2P
cdpBezierTessellation matrixMulDynlinkJIT simplePitchLinearTexture
cdpLUDecomposition matrixMul_kernel64.ptx simplePrintf
cdpQuadtree MC_EstimatePiInlineP simpleSeparateCompilation
cdpSimplePrint MC_EstimatePiInlineQ simpleStreams
cdpSimpleQuicksort MC_EstimatePiP simpleSurfaceWrite
clock MC_EstimatePiQ simpleTemplates
concurrentKernels MC_SingleAsianOptionP simpleTexture
conjugateGradient mergeSort simpleTexture3D
conjugateGradientPrecond MersenneTwisterGP11213 simpleTextureDrv
convolutionFFT2D MonteCarloMultiGPU simpleTexture_kernel64.ptx
convolutionSeparable nbody simpleVoteIntrinsics
convolutionTexture newdelete simpleZeroCopy
cppIntegration oceanFFT smokeParticles
cppOverload particles SobelFilter
cudaOpenMP postProcessGL SobolQRNG
dct8x8 ptxjit sortingNetworks
deviceQuery quasirandomGenerator stereoDisparity
deviceQueryDrv radixSortThrust template
dwtHaar1D randomFog template_runtime
dxtc recursiveGaussian threadFenceReduction
eigenvalues reduction threadMigration
fastWalshTransform scalarProd threadMigration_kernel64.ptx
FDTD3d scan transpose
fluidsGL segmentationTreeThrust vectorAdd
freeImageInteropNPP shfl_scan vectorAddDrv
FunctionPointers simpleAssert vectorAdd_kernel64.ptx
grabcutNPP simpleAtomicIntrinsics volumeFiltering
histEqualizationNPP simpleCallback volumeRender
histogram simpleCubemapTexture

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ./randomFog

And you get the following error:

./randomFog: error while loading shared libraries: libcurand.so.5.5: cannot open shared object file: No such file or directory

I originally thought this error might have something to with libglut based on other install sites I ran across. I therefore took the step of adding the symbolic link from /usr/lib/x86_64-linux-gnu to /usr/lib

user@host:~$ sudo ln -s /usr/lib/x86_64-linux-gnu/libglut.so.3 /usr/lib/libglut.so

That said, same issue:

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ./randomFog
./randomFog: error while loading shared libraries: libcurand.so.5.5: cannot open shared object file: No such file or directory

I then found references to adding a cuda.conf file to /etc/ld.so.conf.d – and so did that (doesn’t help but it came up enough that I suspect it doesn’t hurt either).

user@host:~$ sudo nano /etc/ld.so.conf.d/cuda.conf 

This file should contain the following:


Which also didn’t help.

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ./randomFog 

./randomFog: error while loading shared libraries: libcurand.so.5.5: cannot open shared object file: No such file or directory

To find the location (or presence) of libcurand, ldconfig -v

user@host:~/$ ldconfig -v

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ldconfig -v
/sbin/ldconfig.real: Path `/lib/x86_64-linux-gnu’ given more than once
/sbin/ldconfig.real: Path `/usr/lib/x86_64-linux-gnu’ given more than once
libcuinj64.so.5.5 -> libcuinj64.so.5.5.22
libcufft.so.5.5 -> libcufft.so.5.5.22
libcurand.so.5.5 -> libcurand.so.5.5.22
libcusparse.so.5.5 -> libcusparse.so.5.5.22
. . .
libnvToolsExt.so.1 -> libnvToolsExt.so.1.0.0
libcufft.so.5.5 -> libcufft.so.5.5.22
libcurand.so.5.5 -> libcurand.so.5.5.22
libcusparse.so.5.5 -> libcusparse.so.5.5.22
. . .
/usr/lib/NVIDIA-319/tls: (hwcap: 0×8000000000000000)
libNVIDIA-tls.so.319.32 -> libNVIDIA-tls.so.319.32
/usr/lib32/NVIDIA-319/tls: (hwcap: 0×8000000000000000)
libNVIDIA-tls.so.319.32 -> libNVIDIA-tls.so.319.32
/sbin/ldconfig.real: Can’t create temporary cache file /etc/ld.so.cache~: Permission denied

Present twice. Instead of risking making multiple symbolic links as I walked through the dependency gauntlet, I stumbled across another reference in the form of a new /etc/ld.so.conf.d/NVIDIA.conf that contains the same content as cuda.conf (so one may not be needed, but I didn’t bother to backtrack to see. Happy to change the page if someone says otherwise).

user@host:~/$ sudo nano /etc/ld.so.conf.d/NVIDIA.conf


Then run ldconfig.

user@host:~/$ sudo ldconfig

With that, randomFog works just fine (and you can assume that a problem in one is a problem in several. Having not taken the full symbolic link route in favor of adding to /etc/ld.so.conf.d, I’m assuming I hit most of the potential errors for the other programs.

user@host:~/NVIDIA_CUDA-5.5_Samples/NVIDIA_CUDA-5.5_Samples/bin/x86_64/linux/release$ ./randomFog 

Random Fog

CURAND initialized

Random number visualization

6. Build CudaMiner

The good news is that there are only a few more steps. The bad news is that any errors you come across in your attempt to build CudaMiner that relate to NOT having done the above are (likely) not represented here, so hopefully your search was sufficiently vague.

Download CudaMiner-master.zip from Christian Buchner’s github account. Extracting CudaMiner-master.zip (with unzip, not gunzip. Damn Windows users) and running configure produces only one obvious error.

user@host:~/WHEREVER_YOU_ARE/$ cd
user@host:~/$ cd Downloads
user@host:~/Downloads$ unzip CudaMiner-master.zip 
user@host:~/Downloads$ cd CudaMiner-master/
user@host:~/Downloads/CudaMiner-master$ chmod a+wrx configure
user@host:~/Downloads/CudaMiner-master$ ./configure

checking build system type… x86_64-unknown-linux-gnu
checking host system type… x86_64-unknown-linux-gnu
checking target system type… x86_64-unknown-linux-gnu
checking for a BSD-compatible install… /usr/bin/install -c
. . .
checking for gawk… (cached) mawk
checking for curl-config… no
checking whether libcurl is usable… no
configure: error: Missing required libcurl >= 7.15.2

This error is remedied by installing libcurl4-gnutls-dev.

user@host:~/Downloads/CudaMiner-master$ sudo apt-get install libcurl4-gnutls-dev 

Which adds and modifies the following from my clean 12.04 LTS install and update

The following packages were automatically installed and are no longer required:
gir1.2-ubuntuoneui-3.0 libxcb-dri2-0 libxrandr-ltsr2 libubuntuoneui-3.0-1 libxvmc1 thunderbird-globalmenu
Use ‘apt-get autoremove’ to remove them.
The following extra packages will be installed:
comerr-dev krb5-multidev libgcrypt11-dev libgnutls-dev libgnutls-openssl27 libgnutlsxx27 libgpg-error-dev
libgssrpc4 libidn11-dev libkadm5clnt-mit8 libkadm5srv-mit8 libkdb5-6 libkrb5-dev libldap2-dev
libp11-kit-dev librtmp-dev libtasn1-3-dev zlib1g-dev
Suggested packages:
krb5-doc libcurl3-dbg libgcrypt11-doc gnutls-doc gnutls-bin krb5-user
The following NEW packages will be installed:
comerr-dev krb5-multidev libcurl4-gnutls-dev libgcrypt11-dev libgnutls-dev libgnutls-openssl27
libgnutlsxx27 libgpg-error-dev libgssrpc4 libidn11-dev libkadm5clnt-mit8 libkadm5srv-mit8 libkdb5-6
libkrb5-dev libldap2-dev libp11-kit-dev librtmp-dev libtasn1-3-dev zlib1g-dev

After a make clean, configure and make for CudaMiner went without problem.

user@host:~/Downloads/CudaMiner-master$ make clean
user@host:~/Downloads/CudaMiner-master$ ./configure

checking build system type… x86_64-unknown-linux-gnu
checking host system type… x86_64-unknown-linux-gnu
checking target system type… x86_64-unknown-linux-gnu
checking for a BSD-compatible install… /usr/bin/install -c
checking whether build environment is sane… yes
checking for a thread-safe mkdir -p… /bin/mkdir -p
. . .
configure: creating ./config.status
config.status: creating Makefile
config.status: creating compat/Makefile
config.status: creating compat/jansson/Makefile
config.status: creating cpuminer-config.h
config.status: cpuminer-config.h is unchanged
config.status: executing depfiles commands

user@host:~/Downloads/CudaMiner-master$ make

make all-recursive
make[1]: Entering directory `/home/user/Downloads/CudaMiner-master’
Making all in compat
make[2]: Entering directory `/home/user/Downloads/CudaMiner-master/compat’
Making all in jansson
make[3]: Entering directory `/home/user/Downloads/CudaMiner-master/compat/jansson’
. . .
./spinlock_kernel.cu(387): Warning: Cannot tell what pointer points to, assuming global memory space
./spinlock_kernel.cu(387): Warning: Cannot tell what pointer points to, assuming global memory space
./spinlock_kernel.cu(387): Warning: Cannot tell what pointer points to, assuming global memory space
. . .
nvcc -g -O2 -Xptxas “-abi=no -v” -arch=compute_10 –maxrregcount=64 –ptxas-options=-v -I./compat/jansson -o legacy_kernel.o -c legacy_kernel.cu
./legacy_kernel.cu(310): Warning: Cannot tell what pointer points to, assuming global memory space
./legacy_kernel.cu(310): Warning: Cannot tell what pointer points to, assuming global memory space
./legacy_kernel.cu(310): Warning: Cannot tell what pointer points to, assuming global memory space
. . .
g++ -g -O2 -pthread -L/usr/local/cuda/lib64 -o cudaminer cudaminer-cpu-miner.o cudaminer-util.o cudaminer-sha2.o cudaminer-scrypt.o salsa_kernel.o spinlock_kernel.o legacy_kernel.o fermi_kernel.o kepler_kernel.o test_kernel.o titan_kernel.o -L/usr/lib/x86_64-linux-gnu -lcurl -Wl,-Bsymbolic-functions -Wl,-z,relro compat/jansson/libjansson.a -lpthread -lcudart -fopenmp
make[2]: Leaving directory `/home/user/Downloads/CudaMiner-master’
make[1]: Leaving directory `/home/user/Downloads/CudaMiner-master’

A few warnings (well, several hundred of the same warnings) appeared during the build process (but don’t affect the program operation. Just pointing them out above).

With luck, you should be able to run a benchmark calculation immediately.

user@host:~/Downloads/CudaMiner-master$ ./cudaminer -d 0 -i 0 --benchmark

*** CudaMiner for NVIDIA GPUs by Christian Buchner ***
This is version 2013-12-18 (beta)
based on pooler-cpuminer 2.3.2 (c) 2010 Jeff Garzik, 2012 pooler
Cuda additions Copyright 2013 Christian Buchner
My donation address: LKS1WDKGED647msBQfLBHV3Ls8sveGncnm

[2013-12-25 00:05:38] 1 miner threads started, using ‘scrypt’ algorithm.
[2013-12-25 00:05:58] GPU #0: GeForce GTX 690 with compute capability 3.0
[2013-12-25 00:05:58] GPU #0: the ‘K’ kernel requires single memory allocation
[2013-12-25 00:05:58] GPU #0: interactive: 0, tex-cache: 0 , single-alloc: 1
[2013-12-25 00:05:58] GPU #0: Performing auto-tuning (Patience…)
[2013-12-25 00:05:58] GPU #0: maximum warps: 447
[2013-12-25 00:07:40] GPU #0: 288.38 khash/s with configuration K27x4
[2013-12-25 00:07:40] GPU #0: using launch configuration K27x4
[2013-12-25 00:07:40] GPU #0: GeForce GTX 690, 6912 hashes, 0.06 khash/s
[2013-12-25 00:07:40] Total: 0.06 khash/s
[2013-12-25 00:07:40] GPU #0: GeForce GTX 690, 3456 hashes, 141.56 khash/s
[2013-12-25 00:07:40] Total: 141.56 khash/s
[2013-12-25 00:07:43] GPU #0: GeForce GTX 690, 708480 hashes, 251.11 khash/s
[2013-12-25 00:07:43] Total: 251.11 khash/s
[2013-12-25 00:07:48] GPU #0: GeForce GTX 690, 1257984 hashes, 251.19 khash/s
[2013-12-25 00:07:48] Total: 251.19 khash/s
. . .

Then spend the rest of the week optimizing parameters for your particular card and mining proclivity:

user@host:~/Downloads/CudaMiner-master$ ./cudaminer -h
	   *** CudaMiner for NVIDIA GPUs by Christian Buchner ***
	             This is version 2013-12-18 (beta)
	based on pooler-cpuminer 2.3.2 (c) 2010 Jeff Garzik, 2012 pooler
	       Cuda additions Copyright 2013 Christian Buchner
	   My donation address: LKS1WDKGED647msBQfLBHV3Ls8sveGncnm

Usage: cudaminer [OPTIONS]
  -a, --algo=ALGO       specify the algorithm to use
                          scrypt    scrypt(1024, 1, 1) (default)
                          sha256d   SHA-256d
  -o, --url=URL         URL of mining server (default:
  -O, --userpass=U:P    username:password pair for mining server
  -u, --user=USERNAME   username for mining server
  -p, --pass=PASSWORD   password for mining server
      --cert=FILE       certificate for mining server using SSL
  -x, --proxy=[PROTOCOL://]HOST[:PORT]  connect through a proxy
  -t, --threads=N       number of miner threads (default: number of processors)
  -r, --retries=N       number of times to retry if a network call fails
                          (default: retry indefinitely)
  -R, --retry-pause=N   time to pause between retries, in seconds (default: 30)
  -T, --timeout=N       network timeout, in seconds (default: 270)
  -s, --scantime=N      upper bound on time spent scanning current work when
                          long polling is unavailable, in seconds (default: 5)
      --no-longpoll     disable X-Long-Polling support
      --no-stratum      disable X-Stratum support
  -q, --quiet           disable per-thread hashmeter output
  -D, --debug           enable debug output
  -P, --protocol-dump   verbose dump of protocol-level activities
      --no-autotune     disable auto-tuning of kernel launch parameters
  -d, --devices         takes a comma separated list of CUDA devices to use.
                        This implies the -t option with the threads set to the
                        number of devices.
  -l, --launch-config   gives the launch configuration for each kernel
                        in a comma separated list, one per device.
  -i, --interactive     comma separated list of flags (0/1) specifying
                        which of the CUDA device you need to run at inter-
                        active frame rates (because it drives a display).
  -C, --texture-cache   comma separated list of flags (0/1) specifying
                        which of the CUDA devices shall use the texture
                        cache for mining. Kepler devices will profit.
  -m, --single-memory   comma separated list of flags (0/1) specifying
                        which of the CUDA devices shall allocate their
                        scrypt scratchbuffers in a single memory block.
  -H, --hash-parallel   1 to enable parallel SHA256 hashing on the CPU. May
                        use more CPU overall, but distributes hashing load
                        neatly across all CPU cores. 0 is now the default
                        which assigns one static CPU core to each GPU.
  -S, --syslog          use system log for output messages
  -B, --background      run the miner in the background
      --benchmark       run in offline benchmark mode
  -c, --config=FILE     load a JSON-format configuration file
  -V, --version         display version information and exit
  -h, --help            display this help text and exit

I’ve only had a few problems with CudaMiner to date. The most annoying problem has been the inability to run tests to optimize card performance without having to put the machine to sleep and wake it back up again (better than a full restart). CudaMiner will, without this, simply hang on a script line:

[2013-12-25 00:49:08] 1 miner threads started, using ‘scrypt’ algorithm.

The sleep + wake does the trick, although I’d love to find out how to not have this happen.

The second annoying problem was:

“. . . result does not validate on CPU (i=NNNN, s=0)!

This error is due to your “K16x16″ configuration (the most prominent one I’ve found in google searches, so placed here to help others find it. Your values may vary) being too much for the card (so vary them down a spell until you don’t get there error). There’s a wealth of proper card settings available on the litecoin hardware comparison site, so I direct you there:


7. And Finally. . .

By all accounts, CudaMiner is a much faster mining tool for NVIDIA owners. To that end, please note that Christian Buchner has made your life much easier (and your virtual wallet hopefully a little fuller). As mentioned above, his donation address is:


Do consider showing him some love.

This post was made in the interest of helping others get their mining going. If this guide helped and you score blocks early, my wallet’s always open as well (can’t blame someone for trying).

Bitcoin: 1P5f7GbnNW9a83zFwBLJz6kgFpkuquyeyu

Litecoin: LTmicpwpGgrZiyiJmMUdyqq4CG8CqiBqrm

Dogecoin: DBwXMoQ4scAqZfYUJgc3SYqTED7eywSHdB

The timing for getting the guide up is based on a new mining operation here in Syracuse, NY in the form of Salt City Miners, currently the Cloud City of mining operations (also appropriate for the weather conditions). Parties interested in adding their power to the fold are more than welcome to sign up at miner.saltcityminers.com/.


And don’t forget the Meetup group: Syracuse Meetup Group – Bitcoin’s of New York – Miner’s of Syracuse

Experimental And Theoretical Studies Of Tetramethoxy-p-benzoquinone: Infrared Spectra, Structural And Lithium Insertion Properties

December 20th, 2013

Published earlier this year in RSC Advances (RSC Adv., 2013, 3, 19081-19096), a follow-up (for my part) to the study The Low-/Room-temperature Forms Of The Lithiated Salt Of 3,6-dihydroxy-2,5-dimethoxy-p-benzoquinone: A Combined Experimental And Dispersion-Corrected Density Functional Study in CrystEngComm last year. The theoretical section for this paper is a tour-de-force of Crystal09 solid-state optimizations, density functional and dispersion-correction dependence, and post-processing using Carlo Gotti’s TOPOND software. In brief, the combination of vibrational spectra, electochemical measurements, and solid-state density functional theory tests are used to predict the structure of the previously unknown lithiated tetramethoxy-p-benzoquinone structure based on the good-to-excellent agreement with two known TMQ crystal structures (the testing of density functionals and dispersion corrections being a very good survey of the pros and cons of the varied methods. If you were pondering an approach to follow to perform the same kind of theoretical analysis, the procedure set up by Gaëtan and Christine in this paper is fully worth your consideration).


Gaëtan Bonnard, Anne-Lise Barrès, Yann Danten, Damian G. Allis, Olivier Mentré, Daniele Tomerini, Carlo Gatti, Ekaterina I. Izgorodina, Philippe Poizot and Christine Frayret*

In the search for low-polluting electrode materials for batteries, the use of redox-active organic compounds represents a promising alternative to conventional metal-based systems. In this article we report a combined experimental and theoretical study of tetramethoxy-p-benzoquinone (TMQ). In carbonate-based electrolytes, electrochemical behaviour of this compound is characterized by a reversible insertion process located at approximately 2.85 V vs. Li+/Li0. This relatively high potential reactivity, coupled with our effort to develop computational methodologies in the field of organic electrode materials, prompted us to complement these experimental data with theoretical studies performed using density functional theory (DFT). Single crystals of TMQ were synthesized and thoroughly characterized showing that this quinonic species crystallised in the P21/n space group. The experimental crystal structure of TMQ was then used to assess various DFT methods. The structural features and vibrational spectra were thus predicted by using as a whole five common density functionals (PBE, LDA, revPBE, PBEsol, B3PW91) with and without a semi-empirical correction to account for the van der Waals interactions using either Grimme’s (DFT-D2) or Tkatchenko–Scheffler (TS) scheme. The most reliable combination of the DFT functional and the explicit dispersion correction was chosen to study the Li-intercalated molecular crystal (LiTMQ) with the view of indentifying Li insertion sites. A very close agreement with the experiment was found for the average voltage by using the most stable relaxed hypothetical LiTMQ structure. Additionally, a comparison of vibrational spectra gained either for TMQ molecule and its dimer in gas phase or through periodic calculation was undertaken with respect to the experimentally measured infrared spectra. The topological features of the bonds were also investigated in conjunction with estimates of net atomic charges to gain insight into the effect of chemical bonding and intermolecular interaction on Li intercalation. Finally, π-electron delocalization of both quinone and alkali salts of p-semiquinone were determined using the Harmonic Oscillator model of Aromaticity (HOMA) or aromatic fluctuation index (FLU) calculations.

Commensurate Urea Inclusion Crystals With The Guest (E,E)‐1,4-Diiodo-1,3-Butadiene

December 20th, 2013

Published in Crystal Growth & Design (Cryst. Growth Des., 2013, 13 (9), pp. 3852–3855) earlier this year. The theory work is less impressive than the successful crystal growth, with initial solid-state efforts in Crystal09 only very recently now producing good results (leaving the molecular calculations to Gaussian09 in this paper). The procedure leading to the observed crystal structure of this inclusion complex is a significant step in the direction of testing the theory proposed in Bond Alternation In Infinite Periodic Polyacetylene: Dynamical Treatment Of The Anharmonic Potential published earlier this year in J. Mol. Struct.


Caption: Two views along the ba and ca crystal axes of the (E,E)‐1,4-Diiodo-1,3-Butadiene : Urea Inclusion Complex.

Amanda F. Lashua, Tiffany M. Smith, Hegui Hu, Lihui Wei, Damian G. Allis, Michael B. Sponsler, and Bruce S. Hudson

Abstract: The urea inclusion compound (UIC) with (E,E)-1,4-diiodo-1,3-butadiene (DIBD) as a guest (DIBD:UIC) has been prepared and crystallographically characterized at 90 and 298 K as a rare example of a commensurate, fully ordered UIC. The crystal shows nearly hexagonal channels in the monoclinic space group P21/n. The DIBD guest molecules are arranged end-to-end with the nonbonding iodine atoms in the van der Waals contact. The guest structure is compared with that for DIBD at 90 K and with computations for the periodic UIC and isolated DIBD molecule.

“From Kurdistan With Love” or Some Things To Do Before And/Or After Your WordPress Site Gets Hacked

December 12th, 2013

“Hopefully, because he’s busy.” – Commissioner Gordon, The Dark Knight

On the plus side, www.somewhereville.com received its first update in just over 5 months. On the minus side, the new post was less than useful in many ways. I received a timely email from Dr. Obi Griffith of the Washington University in St. Louis Division of Oncology noting that my entire site was differently-down (thanks to the hijacking of my Sanger (And Illumina 1.3+ (And Solexa)) Phred Score (Q) ASCII Glyph Base Error Conversion Tables page that he linked to on a biostars site thread – so my thanks to Obi for catching something I likely would have gone weeks without noticing!).

The snapshot below shows the state of swv as of 3 December 2014. On the bright side (minus a friendly conspiracy to get someone else in trouble), I can say with some certainty that Serwan performed the content-ectomy (twitter: @S3RW4N, current email (although I suspect it won’t last long): serwan_007 – at cymbal – hotmail.com, on the Facebook, etc. All sites subject to change as people try to track him/her down post-attack (he/she’s been prolific if nothing else)).


Exhibit A. Flag is waving in the actual version.

Several problems. To begin, it’s a gaudy hack, complete with rolling text and techno music. Second, the Television New Zealand (TVNZ) news service thought this hack to be significant enough to warrant actual coverage on their website when a similar file-swap on a WordPress (or WordPress-esque) site brought down the Health and Sports Fitness Club in Sandringham (syracuse.com didn’t give me the time of day). I commend this Kurdish hacker group for their ratings. Third, the manner in which files were replaced in the blog (specifically meaning the index.php file) blocked every other post on the site from being accessed, so every link anyone had posted to a page anywhere else on the Internets was made useless.

That said, I appreciate that Serwan generally performs fairly benign attacks on websites. File replacements were clearly identified from a simple date sorting, the important MySQL database content wasn’t touched, and Serwan even went as far as to set up a second Admin account so that I could quickly retake control of the site.

So, in light of the plight of the Kurdish people, I left the hacked version up for a few hours as I pondered what to do, which I discuss below.

My Spotty Procedure For Recovery:

What follows is a list of obvious and less obvious things to consider when recovering your WordPress blog from a hack. There are plenty of websites that show how to protect your site in the first place, then others that explain how to revive it (provided you do your own due diligence and back your site up regularly enough). What’s below is not complete, but you can rest assured that google is your friend in such matters, so keep your keywords targeted and see what comes up.

General Considerations:

1. Don’t use your blog. My last post at the time dated back to June 25th, during which time I’ve made several full backups (and kept WordPress up-to-date, the last time being 7 November 2013) of my entire site. In this respect, I was well set up to quickly recover from a hacking incident.

2. Keep a copy of your current running version of WordPress handy for file replacements. In my case, index.php was written over. All I had to do to recover was uncompress my WordPress  3.7.1 download, upload index.php to my server, and the site was back and running.

3. Have you backed up lately? This phrase has been in the .sig of my emails for many, many years. If your entire life is lived in the Googleverse (email, images, documents, etc.), then you’re fine until the Earth’s magnetic poles shift and wipe all the hard drives out (just kidding. I think). If you’re a computational scientist and have TBs of data, it’s up to you to make sure you have access to it all again. Same applies to WordPress. I’ve a biweekly alarm that tells me to back up several websites and I’ve an encrypted .txt file with all of the login info and steps needed to perform this backup. You should absolutely be doing the same if you’re not.

4. Set up an additional Administrator. In my case, my admin account was hacked to change the associated user email address to Serwan’s email. Obviously, attempting to log in, change the password, or what have you simply sent little pings of your futile attempts to the hacker. Having that second admin account will allow you to reroute your login efforts (and if they’re both hacked into, there’s still a way around. Will get to below).

5. Make a real password. At the risk of de-securing my sites by providing personal info, my typical password looks something like this:


20 characters long, upper and lower, numbers, and non-alphanumeric characters. If you care about your site security, stay the hell away from the dictionary.

6. Dry-run your SHTF moment. Are you a survivalist? Can you identify edible berries by sight, build a lean-to, or stitch an open wound? Or are you the Marty Stouffer of the camping section at Target? If you’ve never had to work your way back from a complete disaster, you likely won’t know how to do it either quickly, efficiently, or securely.

Ergo, do another WordPress installation in a sub-folder of your main installation, create a new database, make your site pretty, perform a full backup of your database and uploaded media, then break it, either by deleting core files or corrupting your database (deleting a table would do the trick). If you can put the site back together again (the uploading of the database back onto your server likely being the worst part of the whole process), you’re likely in good shape for the real deal.

7. Harden WordPress. The good people at WordPress even tell you how to (although, admittedly, I thought I did all of this, so maybe there’s something being missed that will go into a future iteration of this page).

8. Get rid of “admin.” Several of the sites discussing WordPress hacks report that having this default account (or account default’ed) is a top-5 problem when trying to keep people out of your site. So get rid of it. Easily. Set up a new account, give it administrative privileges, then delete the admin account, which will ask you to attribute the current admin posts to another admin account.

9. Delete deactivated plugins if you’re not going to use them. Plugins are developed by people. People often have lives that keep them from timely updates of security exploits. If you’re using a plugin, that’s one thing. If a deactivated plugin languishes in your plugins folder, never gets updated, and some hacker writes something specifically to exploit a security flaw in that old, poorly maintained plugin, that’s all on you. So don’t risk your pocket knife being a projectile as you walk into the MRI room and get rid of the knife before it comes a problem.

10. I know nothing about it yet, but am giving Wordfence a whirl presently.

11. Hey, check your blog every once in a while to make sure it’s still you and not Serwan.

For The Specific Attack (From Easy To Harder):

1. FTP in and check file dates. The offending .php files (index.php and a hello.php containing the techno) were both dated 3 December 2013. Everything else was, at its newest, 7 November 2013 (from my last WordPress update). This made finding the hacked and previously not-present files easy. A cluster of important files with identically modification times and dates is an easy giveaway.

2. FTP in and check ALL the file dates. One never knows when something else is going to be placed into a themes folder, plugin folder, etc., to keep track of site access (that’s why I delete all deactivated plugins). So, sort by date and scour the whole site for modifications and new files.

3. If you make it into your site, go right to your User Settings, change the email address, then change your password.

4. Check out something like Sucuri SiteCheck. Hopefully, this search will complement your initial search as well as test against known threats. I ran a Sucuri on a similarly-hacked site (in this case, indoorstinkbugtrap.com) and received the following notification of defacement (so the check worked).


securi.net results for fellow victim indoorstinkbugtrap.com.

5. If you can’t make it in the front door, crawl through the plumbing. You can change your admin account from within MySQL using, for instance, phpMyAdmin (check your hosting provider for details if this is new information to you). In the case of phpMyAdmin, you can modify the admin account in six easy steps.

1. Log in to phpMyAdmin

2. Click on the Structure Button in wp_users (red circle)


3. Click on Browse (told you this was easy)


4. Click the edit button for your administrative account (red circle)


5. Change the email address back to your email and delete the current password.


6. Save and go back to our WordPress site, then request a new password.

And, While We’re At It:

Serwan’s twitter image currently features a white hat (the Gandalf-ian sign of a good guy/gal hacker) and a long list of sites that have been defaced with otherwise useless, feral medadata promoting Kurdish Hackers for google to get confused by. A search for somewhereville.com in google left the following bad taste in its results page for a week after:

Hacked By Serwan. Allah Is Greatest. Long Live Kurdistan. Thanks To All Kurdish Hackers. Follow @S3RW4N FB.com/Mr.S995

If I may be so bold (and I’ve told Serwan the same), the Kurdish people had a long history of getting steamrolled by an oppressive regime that, regretfully, first-world countries didn’t put enough into stopping or acknowledging until the tanks rolled South into Kuwait. If you’re gong to label yourself an ethical hacker, fine. Mangle the front-end of someone’s WordPress site. That said, you could be educating others on the Kurdish people by including a few links into your hack. I live in America, where certain news services use “Muslim” and “Islam” in headlines purely for shock value when they want to appeal to an audience so narrow-minded that their hearing is susceptible to the Casimir Effect. I recommend adding the wikipedia article on Kurdistan and the Al-Anfal Campaign to future hacks (and I’m sure Serwan could find more) to provide a little substance to your efforts unless, of course, your goal is just to be a stupid-ass script-kiddie hacker.

If you’re gonna hack, at least try to be productive. Meantime, this was a valuable lesson for myself on what to do to try to keep WordPress from falling into the same limbo during a time when I might not have had an hour to fix it.

The 16-inch f/4.5 Collapsible-Truss Dobsonian From New Moon Telescopes – Feature Article In Astronomy Technology Today

June 25th, 2013

As first appeared on the CNY Observers & Observing website, www.cnyo.org, on 22 June 2013.

Greetings fellow astrophiles!

As if NEAF wasn’t already an excellent first showing for Ryan (and Heather!) Goodson and New Moon Telescopes (including discussions at Cloudy Nights (link 1, link 2) and a recorded observation in Sky & Telescope in this month’s issue), I am pleased to provide a full copy of the result of their first NEAF meeting with Gary Parkerson, Managing Editor of Astronomy Technology Today (www.astronomytechnologytoday.com): A feature (and cover) article (by yours truly) giving the NMT 16″ f/4.5 Dobsonian a complete walk-through in the May-June 2013 issue.


Before anything else – I’d like to personally thank Gary and all at ATT for providing a platform for my review of the NMT scope, their continued support of other amateur astronomers through many years of excellent equipment reviews, and their complete coolness with allowing CNYO to repost the complete article for your viewing pleasure.

Click HERE For The Full Article (PDF, 2.3 MB)

From the article:

New Moon Telescopes (NMT, newmoontelescopes.com) is a very recent addition to the list of manufacturers of custom Dobsonians, having made their first company appearance at the Kopernik Winter Star Party (kopernik.org) this past January and their commercial appearance at NEAF 2013 this past April.

While NMT is now making itself known to the larger amateur astronomy community, NMT is no secret to Central New York observers. Amateur astronomers in several CNY astronomy clubs have seen the expert woodworking skills and design choices of NMT’s owner and sole craftsman, Ryan Goodson, first-hand, giving CNY observers and their always unpredictable weather conditions the honor of being NMT’s original customer base both in rebuilds and new Dobsonians.

The article introduction is no joke! There are three NMT Dobs owned just by CNYO session hosts alone (Larry S, Dan W, and myself), not counting whatever Ryan brings to our observing sessions, then several additional just in the CNY area (one CNY customer’s beautiful 18” Dob having been on display at NEAF). I remember just within the past ten years when SCTs and fancy mounts seemed to rule the observing grounds at Darling Hill Observatory, now all of the sessions I attend are populated by light buckets. The GOTO is increasingly being superseded in favor of memorization. I say excellent!

As a point of discussion in the article, I make reference to Ryan’s high-end component choices (the MoonLite focuser being high on the list – my “Ruby” (NMT #1) is named for its red focuser). I spent an extra block of time discussing the merits of a primary mirror purchase from John Lightholder at Lightholder Premium Optics.

Just as I have seen many an amateur astronomer start with seemingly decent eyepieces, then eventually sell and buy their way up to TeleVue (my personal bias, anyway), I have heard too many stories of observers with primary mirrors that eventually have their faults found out over the course of many observing sessions (the primary mirrors, that is). The solution, while not cheap, is simple – start with the best you can get and never, ever, find yourself regretting an “intermediate” purchase when you go to finally take the plunge on a high-quality primary.

The mirror alone cost more than many of the major vendors are currently charging for complete-and-shipped 12-inch Dobsonian telescopes. The reason is simple – it is absolutely worth it.

A final thought about the whole enterprise comes from Gary himself at ATT:

The Goodsons’ telescopes captured my attention, as did the Goodsons themselves, for the simple reason that they represent one of the aspects I love most about the telescope industry. Astronomy enthusiasts are primarily served by what are essentially cottage enterprises, populated with business people and craftsmen for whom their astro products and services represent labors of love. Most are family businesses, as is ATT, a fact that is reinforced with each trip to NEAF as I am privileged to again greet in person the family partnerships who gather there each year.

I am grateful to Gary and ATT for allowing us to repost the complete article on the CNYO website (and this pruned version of the issue was generated from the PDF I obtained as an enlightened subscriber to the digital version of ATT). It remains an excellent source of information from real users of equipment, a kind of completeness of analysis and discussion many of us had the pleasure of experiencing during discussions with Stu Forster and still have the pleasure of experiencing with my favorite local scope-sage Bob Piekiel.

And why yes, now that you mention it, it is easy to subscribe to ATT today! Click on the image below for more info!



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