Earlier this year, Intel made the decision to integrate OpenCL™ support into two software development suites: Intel® Integrated Native Developer Experience (Intel® INDE) and Intel® Media Server Studio. At the time, we decided to provide the Intel® SDK for OpenCL™ Applications under a new name: Intel® OpenCL™ Code Builder. OpenCL support at Intel has long-been mainstream, so integrating Intel® OpenCL™ Code Builder into Intel's tool suites for developers made sense.
I am trying to run the HPCC benchmark on our cluster.
The system has Intel compilers and MKL release 2015.5.223
I am compiling with Openmpi version 1.8.5 also (though I do not think this is the problem)
I have compiled OK. This seems a bit out of date though.
I am using icpc version 16.0.0 (gcc version 5.0.0 compatibility), there seems to be an issue using std::ref and std::vector, i am trying to initalize a bunch of threads with reference for std::vector with the code:
I would like to do something like:
... // a lot of stuff with several calls to MKL routines int cbwrStatus = mkl_cbwr_set(MKL_CBWR_AUTO); int status = LAPACKE_dsyev( LAPACK_ROW_MAJOR, 'V', 'L', rank, matrix, rank, eigenValues ); mkl_cbwr_set(MKL_CBWR_BRANCH_OFF); ... // a lot of stuff with several calls to MKL routines
Here, mkl_cbwr_set calls fail with MKL_CBWR_ERR_MODE_CHANGE_FAILURE, obviously.
So, two questions:
- why is it forbidden (impossible ?) to change the CNR mode after a call to some MKL function ?
We have successfully integrated a MIC into a system that we are developing. We are using SCIF to transfer data from the host to the MIC and from the MIC to the host. However we have a requirement to DMA from the MIC to a block of memory on a FPGA device on the PCI bus.
Can someone tell me if there is any support that exists for this ?
I implemented a C# program that test LAPACKE_zgesvxx function.
The example works with x64 platform but fail with x86 platform, return info=-7 error!
I suppose there are difference in function declaration, but I don't know where, and how to solve it.
I did many changes in the declaration part, but with 25 parameters became quite difficult to find the solution.
I Attach the example code and the data files used to test.
I tried to create a tbb::flow::function_node on a move-only type, e.g.
I can do this using OpenCV to load the image file and then the WarpAffine function from the ipp_blur_rotate_sample SDK sample; the alpha channel from the original image is preserved however areas in the new rotated image that were not originally present default to 100% opacity which is not what I want. I would like them to default to transparency but cant see how to do this easily without extra processing ( subsequently I am using ippiAlphaComp_8u_AC4R to composite the rotated image with larger video frames and don't want to them obscure parts of the video ).
I'm using Sparse Matrix Solver in MKL.
I proceeded with the Version Update in MKL 11.1 update4 with MKL 11.3 this time.
The problem that didn't generate in an existing happens and I inquire.
The phenomenon that I stop in the Factorization process is happening after the update progress.
I'm having an error using the DftiFreeDescriptor command on the FFT computation. I'm using Intel Parallel Studio XE Cluster Edition (2016 - Student download) with Visual Studio Community 2015. And here is the code: