text: F​rankly, I too am unhappy that they made this change inflight. It is hard to agree with this part of the decision; they should have done this right from the get-go.
  Since we noticed that this information is important for you, we are working on your inquiry, I will get back to you as soon as I can.
  If you where be able to boot into Linux with Bios 0052 you should be able to do this with Bios version 0058. There wasn't Legacy Boot option in Version 0052 neither.
  Since the download is no longer available and this issue is related to a BIOS issue we would like you to get in contact with Intel Customer Support in order to check the warranty status and options on the unit.
  
  Our organization has recently purchased Intel Cluster Studio. We have set up a few test cases to ensure that everything is working as expected and have come across an issue with using mpiexec on our HPC cluster. Specifically, it appears that running mpiexec requires administrative privileges. I know about the `wmpiregister` command, and setting the environment variable `I_MPI_AUTH_METHOD` to `delegate`; that isn't the issue. Rather, either of these methods work for me (an administrator on our HPC cluster), but they don't work for my colleagues (who are not administrators on the cluster). The test executable does not require any privileges (it is simply a MPI version of a "Hello World" program that prints out each processor's rank as well), but mpiexec refuses to run without administrator rights regardless. What are possible workarounds for this issue? I.e., how can we get non-administrators the ability to run mpiexec on our cluster?
  
  I had posted another topic regarding my problem with ?GETRF and ?GETRI and ?GETRS. The problems seemed to be solve, but I still get very strange results, sometimes. The results are totally different from results I get from another library just in order to verify that I am using MKL correctly. I am using Linux, Intel C++ Compiler 11.1 and MKL. The code I used is below:
  As you see, I am comparing "RL2" from GMM++ library with "MKL_RL2" with MKL and as I stated, the results are 100% different. The results from GMM++ are correct (I verified with MATLAB) but MKL, by some reason doesn't work correctly. I have same problem with I use MKL function with complex numbers.
  Is there anything wrong with the code that I call MKL functions? First I factorize the matrix, then query to get optimal value for the work space, and the call getri to invert the matrix. This is exactly as MKL example in FORTRAN does (except querying and they used 64*N which I tried also without any success).
  Please give a specific example, preferably involving a small matrix such as this one, but one that has an inverse, where MKL gives you an incorrect result for the inverse.
  Yes you are right. The previous code can generate singular matrices in some cases. So I changed it that the matrices are filled randomly but there is a huge difference between results:
  Using a random matrix without reporting the values of the matrix elements practically ensures that nobody can reproduce your results.
  One major problem in your code: you do not seem to realize that random numbers are, if may I say it, random!