Re: [ViennaCL-devel] Help in Interfacing another BLAS library?

@Ok and @KRGreat! This would be an ideal scenario. Thanks for initiating this process. Regards Sumit From: Karl Rupp To: Oswin Krause ; viennacl-devel@lists.sourceforge.net Sent: Friday, October 30, 2015 7:14 PM Subject: Re:

Re: [ViennaCL-devel] ViennaCL fast_copy() matrices

To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Wednesday, August 5, 2015 9:56 PM Subject: Re: [ViennaCL-devel] ViennaCL fast_copy() matrices I am aware of the methodology. However, is there any example / can you share

Re: [ViennaCL-devel] ViennaCL reductions

Hah ! I will need to learn Group Theory first !! (though it sounds interesting)  Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Wednesday, August 5

Re: [ViennaCL-devel] ViennaCL fast_copy() matrices

...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Wednesday, August 5, 2015 7:38 PM Subject: Re: [ViennaCL-devel] ViennaCL fast_copy() matrices Hi, I have a dense matrix (2048 x 2048) on the GPU and I

Re: [ViennaCL-devel] ViennaCL reductions

http://arxiv.org/pdf/math/0307321v2.pdfCan this be implemented? I am not aware of Group theory :) Apparently, this has a complexity of O(n^2) ! Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net

Re: [ViennaCL-devel] ViennaCL fast_copy() matrices

Hi KarlI have a dense matrix (2048 x 2048) on the GPU and I want to copy it back to a host matrix on the CPU (2048 x 2048). Is there any example of using fast_copy() ? 2048 is a multiple of 128.  Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e

Re: [ViennaCL-devel] ViennaCL reductions

be the alignment order. Suppose I have a Row-major Sparse Eigen matrix, then I can copy it to a (Row-Major ?) VCL compressed matrix. What about a column-major sparse Eigen matrix? Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl

Re: [ViennaCL-devel] ViennaCL reductions

think the correct way to do this would be:a.) Not do any matrix multiplication if all elements are zeros b.) If done, then it should fill up the matrix with zeros and return it without throwing an assertion. Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar

Re: [ViennaCL-devel] ViennaCL reductions

Sparse matrix with a VCL dense matrix? Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Friday, July 31, 2015 6:20 PM Subject: Re: [ViennaCL-devel

Re: [ViennaCL-devel] ViennaCL reductions

KarlI know that we can copy a dense eigen matrix to a dense VCL matrix and the same thing for sparse matrices also.Is it possible to copy a sparse eigen matrix to a dense eigen matrix? and vice-versa ? Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e

Re: [ViennaCL-devel] ViennaCL reductions

 Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Tuesday, July 28, 2015 2:06 AM Subject: Re: [ViennaCL-devel] ViennaCL reductions Hi, That's why I

Re: [ViennaCL-devel] ViennaCL reductions

for a discrete    // GPU.    viennacl::ocl::setup_context(0, devices[1]);  }  else  {    devices = pf.devices(CL_DEVICE_TYPE_CPU);    viennacl::ocl::setup_context(0, devices[0]);  } Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel

Re: [ViennaCL-devel] ViennaCL reductions

multiplication ?b.) A unary operation on a matrix that has been transferred to the GPU? Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel@lists.sourceforge.net viennacl-devel@lists.sourceforge.net Sent: Monday, July 27, 2015 9:13

Re: [ViennaCL-devel] Column-wise kernels?

CharlesIndeed, you should try to reduce row/column wise reductions to simple matrix multiplications. I had posed a similar question earlier and reworked my problem.  Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: viennacl-devel@lists.sourceforge.net Sent: Monday,

Re: [ViennaCL-devel] ViennaCL reductions

of context selection etc can be avoided?c.) Of course, this would be purely optional and only available if the user wants to pre-select the device before writing any VCL code! Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel

Re: [ViennaCL-devel] ViennaCL reductions

it work. However, is there a cleaner way of doing this? This code snippet is from custom-context.cpp. If i tried (device_id_array[1]), the program crashes !  Thanks and Regards Sumit From: Karl Rupp r...@iue.tuwien.ac.at To: Sumit Kumar dost_4_e...@yahoo.com Cc: viennacl-devel

Re: [ViennaCL-devel] ViennaCL reductions

KarlI have the following reduction that I can do in Eigen. Is there something similar that I can do in ViennaCL? RMMatrix_Float v = (prod.block(0,0,rows,cols).rowwise() - aVector.transpose());RMSparseMatrix_Float v1 = v.unaryExpr(std::ptr_fun(clip_lower)).sparseView(); Essentially, I am

[ViennaCL-devel] Access to Raw data in ViennaCL Matrix

If I were to use an Eigen Matrix, I can potentially access its raw data using the Matrix.data() function. Is there anything similar in ViennaCL also?   Thanks and Regards Sumit-- HPCC Systems Open Source Big Data Platform