search for: cubla

Dear colleagues! In early 2009 there was a discussion about fast BLAS library initiated by Sachin. He reported a faster BLAS library made by Nvidia CUBLAS library. Uwe Ligges showed an interest for placing the optimized rblas.dll into windows/contrib section managed by him. Unfortunately there is no any CUBLAS version of rblas.dll in this section at present. So, is anybody interested in CUBLAS optimization of rblas now? In my opinion current dire...

Hello, the following is a part of a question asked on R-help. I realized that it is better suited for asking here. Apologies for the cross-posting! I'm on Ubuntu artful, and upgraded with 'apt'. Then ---------------------------------------------------------------- goran at M6800:~/src/R-3.4.3$ /usr/bin/R /usr/lib/R/bin/exec/R: symbol lookup error:

Hi everyone, I have made a faster BLAS library thanks to Nvidia CUBLAS library. I was wondering how I could upload this new Rblas.dll. I've included a powerpoint presentation I made on the project. Highlights include upto 2000% improvement in matrix multiplication timings. Unfortunately the link included in the presentation is only accessible by CSIRO employees...

Hi All, A few years back when I was a CSIRO (an Australian research centre) intern I developed a BLAS package for R that uses the GPU. I believe that there is something similar right now, except it uses a few CuBLAS (Nvidia BLAS) routines, but doesnt replace them. My question is, is it technically illegal to hold back on source code? Thanks, Sachin [[alternative HTML version deleted]]

Hi, I work in a large CUDA codebase and use Clang to build some of our CUDA code to improve compilation speed. We're planning to upgrade to CUDA 11 soon, and it appears that CUDA 11 is not yet supported in LLVM. >From the LLVM commits history, I can see that work on CUDA 11 has started. Is this currently being worked on? What is the remaining work left? And is any help needed to finish

.....:~$ COLUMNS=70 dpkg -l | grep blas > ii libblas-common 3.7.0-1 amd64 Dependency package for all BLAS i > ii libblas-dev 3.7.0-1 amd64 Basic Linear Algebra Subroutines > ii libblas3 3.7.0-1 amd64 Basic Linear Algebra Reference im > ii libcublas8.0:a 8.0.44-3 amd64 NVIDIA cuBLAS Library > ii libnvblas8.0:a 8.0.44-3 amd64 NVBLAS runtime library > ii libopenblas-ba 0.2.19-2 amd64 Optimized BLAS (linear algebra) l > ii libopenblas-de 0.2.19-2 amd64 Optimized BLAS (linear algebra) l >...

...rk: ........ at .....:~$ COLUMNS=70 dpkg -l | grep blas ii libblas-common 3.7.0-1 amd64 Dependency package for all BLAS i ii libblas-dev 3.7.0-1 amd64 Basic Linear Algebra Subroutines ii libblas3 3.7.0-1 amd64 Basic Linear Algebra Reference im ii libcublas8.0:a 8.0.44-3 amd64 NVIDIA cuBLAS Library ii libnvblas8.0:a 8.0.44-3 amd64 NVBLAS runtime library ii libopenblas-ba 0.2.19-2 amd64 Optimized BLAS (linear algebra) l ii libopenblas-de 0.2.19-2 amd64 Optimized BLAS (linear algebra) l ........ at .....:~...

Dear R-devel, We are planning a package that provides R interface to cuBLAS (CUDA accelerated BLAS). Due to CUDA's requirement, we are wondering if anyone can provide some guidance and suggestions on best way forward. CUDA lists Visual Studio as a requirement on Windows, and it looks like no one had succeed in building a DLL that can be called from R using the mingw...

...LUMNS=70 dpkg -l | grep blas ii >> libblas-common 3.7.0-1 amd64 Dependency package for all >> BLAS i ii libblas-dev 3.7.0-1 amd64 Basic Linear >> Algebra Subroutines ii libblas3 3.7.0-1 amd64 >> Basic Linear Algebra Reference im ii libcublas8.0:a 8.0.44-3 >> amd64 NVIDIA cuBLAS Library ii libnvblas8.0:a 8.0.44-3 >> amd64 NVBLAS runtime library ii libopenblas-ba 0.2.19-2 >> amd64 Optimized BLAS (linear algebra) l ii libopenblas-de >> 0.2.19-2 amd64 Optimized BLAS (linear algebr...