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Hello, i am trying to create a LLVM stack to cross compile c code targeting the xilinx microblaze. I built LLVM configured with target=microblaze however cland doesn't like it. When i try to emit llvm code i get the following error: unknown target triple 'microblaze-unknown-none', please use -triple or -arch How should i configure my LLVM stack and then how should i run the tools to produce microblaze-elf? Thank you Foivos

...s "mblaze" for -target. -Jim On Jun 26, 2012, at 8:42 AM, Fivos <fivosz at gmail.com> wrote: > Hello, > > i am trying to create a LLVM stack to cross compile c code targeting the > xilinx microblaze. > > I built LLVM configured with target=microblaze however cland doesn't > like it. When i try to emit llvm code i get the following > error: unknown target triple 'microblaze-unknown-none', please use > -triple or -arch > > How should i configure my LLVM stack and then how should i run the tools > to produce microblaze-elf? &gt...

...m > > > On Jun 26, 2012, at 8:42 AM, Fivos <fivosz at gmail.com> wrote: > >> Hello, >> >> i am trying to create a LLVM stack to cross compile c code targeting the >> xilinx microblaze. >> >> I built LLVM configured with target=microblaze however cland doesn't >> like it. When i try to emit llvm code i get the following >> error: unknown target triple 'microblaze-unknown-none', please use >> -triple or -arch >> >> How should i configure my LLVM stack and then how should i run the tools >> to produce...

Hello. I am trying to vectorize a CSR SpMV (sparse matrix vector multiplication) procedure but the LLVM loop vectorizer is not able to handle such code. I am using cland and llvm version 3.4 (on Ubuntu 12.10). I use the -fvectorize option with clang and -loop-vectorize with opt-3.4 . The CSR SpMV function is inspired from http://stackoverflow.com/questions/13636464/slow-sparse-matrix-vector-product-csr-using-open-mp (I can provide the exact code samples use...

Sorry to trouble you, great software, I have it on Ubuntu 14.10, Windows 10 and now I was trying ARM: I have been trying to build a working Cland+LLVM for 4 days now, ARM Radxa Rock Pro Quad 1.6Ghz 2GB memory I'm building on an SD card, I tried 4GB and died(space thing), 8GB and died(again with the space thing) so I read everything I could find on building only a minimum testing build and I came up with: apt-get install subversion...

...gmail.com>>> >>>> wrote: >>>> >>>> Hello. >>>> I am trying to vectorize a CSR SpMV (sparse matrix vector multiplication) procedure >>>> but the LLVM loop vectorizer is not able to handle such code. >>>> I am using cland and llvm version 3.4 (on Ubuntu 12.10). I use the -fvectorize option >>>> with clang and -loop-vectorize with opt-3.4 . >>>> The CSR SpMV function is inspired from >>>> http://stackoverflow.com/questions/13636464/slow-sparse-matrix-vector-product-csr-using-open...

...e.susu at gmail.com>> wrote: >>>>>> >>>>>> Hello. I am trying to vectorize a CSR SpMV (sparse matrix vector >>>>>> multiplication) procedure but the LLVM loop vectorizer is not able to handle >>>>>> such code. I am using cland and llvm version 3.4 (on Ubuntu 12.10). I use the >>>>>> -fvectorize option with clang and -loop-vectorize with opt-3.4 . The CSR SpMV >>>>>> function is inspired from >>>>>> http://stackoverflow.com/questions/13636464/slow-sparse-matrix-vector-...

...su at gmail.com>>> wrote: >>>>>> >>>>>> Hello. I am trying to vectorize a CSR SpMV (sparse matrix vector >>>>>> multiplication) procedure but the LLVM loop vectorizer is not able to handle >>>>>> such code. I am using cland and llvm version 3.4 (on Ubuntu 12.10). I use the >>>>>> -fvectorize option with clang and -loop-vectorize with opt-3.4 . The CSR SpMV >>>>>> function is inspired from >>>>>> http://stackoverflow.com/questions/13636464/slow-sparse-matrix-vector-...

...s `#pragma omp declare variant` >> restricted to the `simd` context selector, from OpenMP 5.0+. >> >> Option behavior, and interaction with OpenMP >> -------------------------------------------- >> >> The behavior described below makes sure that >> `#pragma cland declare variant` function vectorization and OpenMP >> function vectorization are orthogonal. >> >> `-fclang-declare-variant` >> >> : The `#pragma clang declare variant` directives are parsed and used >> to populate the `vector-variant` attribute. >>...

...ted to the `simd` context selector, from OpenMP 5.0+. >>>> >>>> Option behavior, and interaction with OpenMP >>>> -------------------------------------------- >>>> >>>> The behavior described below makes sure that >>>> `#pragma cland declare variant` function vectorization and OpenMP >>>> function vectorization are orthogonal. >>>> >>>> `-fclang-declare-variant` >>>> >>>> : The `#pragma clang declare variant` directives are parsed and used >>>> to p...

...---------------------- `#pragma omp declare variant`, same as `#pragma omp declare variant` restricted to the `simd` context selector, from OpenMP 5.0+. Option behavior, and interaction with OpenMP -------------------------------------------- The behavior described below makes sure that `#pragma cland declare variant` function vectorization and OpenMP function vectorization are orthogonal. `-fclang-declare-variant` : The `#pragma clang declare variant` directives are parsed and used to populate the `vector-variant` attribute. `-fopenmp[-simd]` : The `#pragma omp declare variant` dire...

...5.0+. >>>>>> >>>>>> Option behavior, and interaction with OpenMP >>>>>> -------------------------------------------- >>>>>> >>>>>> The behavior described below makes sure that >>>>>> `#pragma cland declare variant` function vectorization and OpenMP >>>>>> function vectorization are orthogonal. >>>>>> >>>>>> `-fclang-declare-variant` >>>>>> >>>>>> : The `#pragma clang declare variant` directives are par...

...t;>>>>> Option behavior, and interaction with OpenMP >>>>>>>> -------------------------------------------- >>>>>>>> >>>>>>>> The behavior described below makes sure that >>>>>>>> `#pragma cland declare variant` function vectorization and OpenMP >>>>>>>> function vectorization are orthogonal. >>>>>>>> >>>>>>>> `-fclang-declare-variant` >>>>>>>> >>>>>>>> : The `#pragma...

...havior, and interaction with OpenMP >>>>>>>>>> -------------------------------------------- >>>>>>>>>> >>>>>>>>>> The behavior described below makes sure that >>>>>>>>>> `#pragma cland declare variant` function vectorization and OpenMP >>>>>>>>>> function vectorization are orthogonal. >>>>>>>>>> >>>>>>>>>> `-fclang-declare-variant` >>>>>>>>>> >>>>&...

...nMP >>>>>>>>>>>> -------------------------------------------- >>>>>>>>>>>> >>>>>>>>>>>> The behavior described below makes sure that >>>>>>>>>>>> `#pragma cland declare variant` function vectorization and OpenMP >>>>>>>>>>>> function vectorization are orthogonal. >>>>>>>>>>>> >>>>>>>>>>>> `-fclang-declare-variant` >>>>>>>>&gt...

...>>>>>>> -------------------------------------------- >>>>>>>>>>>>>> >>>>>>>>>>>>>> The behavior described below makes sure that >>>>>>>>>>>>>> `#pragma cland declare variant` function vectorization and OpenMP >>>>>>>>>>>>>> function vectorization are orthogonal. >>>>>>>>>>>>>> >>>>>>>>>>>>>> `-fclang-declare-variant` >>&gt...

...t;>>>> Option behavior, and interaction with OpenMP > >>>>>>> -------------------------------------------- > >>>>>>> > >>>>>>> The behavior described below makes sure that > >>>>>>> `#pragma cland declare variant` function vectorization and OpenMP > >>>>>>> function vectorization are orthogonal. > >>>>>>> > >>>>>>> `-fclang-declare-variant` > >>>>>>> > >>>>>>> : The `#p...

...;>>> Option behavior, and interaction with OpenMP > > >>>>>>>>> -------------------------------------------- > > >>>>>>>>> > > >>>>>>>>> The behavior described below makes sure that `#pragma cland > > >>>>>>>>> declare variant` function vectorization and OpenMP function > > >>>>>>>>> vectorization are orthogonal. > > >>>>>>>>> > > >>>>>>>>> `-fclang-declare-v...

...or, and interaction with OpenMP > >>>>>>>>> -------------------------------------------- > >>>>>>>>> > >>>>>>>>> The behavior described below makes sure that > >>>>>>>>> `#pragma cland declare variant` function vectorization and OpenMP > >>>>>>>>> function vectorization are orthogonal. > >>>>>>>>> > >>>>>>>>> `-fclang-declare-variant` > >>>>>>>>> > >>...

...gt;>>>> Option behavior, and interaction with OpenMP >>>>>>>>>>> -------------------------------------------- >>>>>>>>>>> >>>>>>>>>>> The behavior described below makes sure that `#pragma cland >>>>>>>>>>> declare variant` function vectorization and OpenMP function >>>>>>>>>>> vectorization are orthogonal. >>>>>>>>>>> >>>>>>>>>>> `-fclang-declare-variant`...