similar to: Multithreaded code in .Call interface

On Tue, Feb 3, 2009 at 12:33 PM, aparna kotha <kotha.aparna at gmail.com> wrote: > Hi all: > > I am working on a project using llvm and we need to deal with multithreaded > applications. I wanted to know if there was a C front end for llvm that > could parse multithreaded applications? I tried llvm-gcc (4.2) and could not > get it to work. Is there an extra parameter that I

I am using pthreads. I was also wondering what will the llvm IR be for pthreads ? On Tue, Feb 3, 2009 at 3:51 PM, Bill Wendling <isanbard at gmail.com> wrote: > On Tue, Feb 3, 2009 at 12:33 PM, aparna kotha <kotha.aparna at gmail.com> > wrote: > > Hi all: > > > > I am working on a project using llvm and we need to deal with > multithreaded > >

Hi all: I am working on a project using llvm and we need to deal with multithreaded applications. I wanted to know if there was a C front end for llvm that could parse multithreaded applications? I tried llvm-gcc (4.2) and could not get it to work. Is there an extra parameter that I need to pass or something ? Thanks a lot for your help. Regards -- -- Aparna Graduate Student Department

On 10/05/2010 09:42 AM, hamed hamzehi wrote: > Hi > yes, I'm asking for any advice, I want to implement multithreaded code > generator in LLVM. > tnx Hi, this generally depends which kind of code you want to multithread, because generally this is a difficult problem. However, if you limit yourself for the moment to loops that fit into the polyhedral model, you can take

Hi, In fact I have some theory on instruction level parallelism( i have a partitioning algorithm), then first of all, i want to generate a multithreaded code from LLVM IR (in assembly level) with a given partitioning. My problem is how can i use a thread library(like Pthread) or OS system calls in LLVM IR to create and manage threads? --- On Tue, 10/5/10, Tobias Grosser <grosser at

Hello all, I'm trying to build R 32bit from source in a Windows 64 machine. I have followed the steps in "R Installation and Adiministration" ( http://cran.r-project.org/doc/manuals/R-admin.html#Getting-the-source-files) or at least I think I did everything described. I am not sure if I have installed the libjpeg, libtiff and libpng files though. I have upzipped them in the

I agree that the "R Installation and Administration" guide statement about FlexiBLAS needs an update. Standard R in CentOS Stream 9, which is now downstream from Fedora, gives the following result for Matrix products in sessionInfo(): > sessionInfo() R version 4.3.1 (2023-06-16) Platform: x86_64-redhat-linux-gnu (64-bit) Running under: CentOS Stream 9 Matrix products: default

Hi yes, I'm asking for any advice, I want to implement multithreaded code generator in LLVM. tnx --- On Tue, 10/5/10, Duncan Sands <baldrick at free.fr> wrote: From: Duncan Sands <baldrick at free.fr> Subject: Re: [LLVMdev] Multithreaded code generation To: llvmdev at cs.uiuc.edu Date: Tuesday, October 5, 2010, 10:50 AM Hi Hamed, > I want to use LLVM to automatically

On 07/07/2015 01:32 PM, Renato Golin wrote: > Wouldn't OpenMP account for some of that? At least on a single > machine, could you have both parallel and simd optimisations done on > the same loop? The point in SPMD program description (e.g. CUDA or OpenCL C) autovectorization is to produce something like OpenMP parallel loops or SIMD pragmas automatically from the single thread/WI

I will preface this message by saying that I am not an R developer and no very little about R...but here is my situation: One of my users has developed a model for analysing commodity prices. At the moment when he runs this model on his daily data set it takes roughly 5 hours to complete. He is using a quad core PC with 2gb of RAM. The R process only uses 1 core..i.e. the overall CPU usage tops

I have been timing a particular model fit using lmer on several different computers and came up with a peculiar result - the model fit is considerably slower on a dual-core Athlon 64 using Goto's multithreaded BLAS than on a single-core processor. Here is the timing on a single-core Athlon 64 3000+ running under today's R-devel with version 0.995-5 of the Matrix package. >

On 10/05/2010 12:30 PM, hamed hamzehi wrote: > Hi, > > In fact I have some theory on instruction level parallelism( i have a > partitioning algorithm), then first of all, i want to generate a > multithreaded code from LLVM IR (in assembly level) with a given > partitioning. My problem is how can i use a thread library(like Pthread) > or OS system calls in LLVM IR to create and

On Tue, Feb 3, 2009 at 12:55 PM, aparna kotha <kotha.aparna at gmail.com> wrote: > I am using pthreads. > > I was also wondering what will the llvm IR be for pthreads ? > Okay. Luke gave hints on how to get pthreads to work. LLVM doesn't do anything special for pthreads calls. So they should look like regular calls into a library. -bw

I am interested in being able to encode a single Opus stream using several CPU cores. I get a raw audio input and "opusenc" can transcode it at 1200% speed (Raspberry PI 3B+). It saturates a single CPU core, but the other three are idle. Is out there any project to add multithreading options to "opusenc", or something in that line? Looking around, I have found this:

Hello all, I came across<http://www.r-bloggers.com/performance-benefits-of-linking-r-to-multithreaded-math-libraries/> David Smith's new post Performance benefits of linking R to multithreaded math libraries<http://blog.revolutionanalytics.com/2010/06/performance-benefits-of-multithreaded-r.html> Which explains how (and why) REvolution distribution of R uses different BLAS math

On Wed, Jan 10, 2018 at 12:04 AM, Keith O'Hara <keith.ohara at nyu.edu> wrote: > > Check if libopenblas is linked against libomp or libgomp. > > I?d be curious to see any errors that arise when an OpenMP version of OpenBLAS is linked with R. > > Keith > The one time I tried compiling OpenBLAS for Windows 64 with USE OMP = 1, I got an error. I don't recall if it

I'm using a multithreaded BLAS library with R and I see the expected speed improvements with matrix multiplication, svd, etc. However, glmnet continues to use only a single CPU. Since this package is compiled from Fortran, is this the expected behavior or is there a way to compile the glmnet package so that it uses the multithreaded BLAS library? Thank you Brian

Hi, I can not install packages from source which links to RcppArmadillo on Ubuntu 20.04 (after upgrading from 18.04). The following problem occurs: ** testing if installed package can be loaded from temporary location Error: package or namespace load failed for 'myPackage' in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object

Lancer 20060824 (based on aoTuV Release 1) - fully optimized libvorbis for x86 CPUs - http://homepage3.nifty.com/blacksword/ Changes: 2006/08/24 Lancer 20060824 * Lancer is based on aotuv-r1_20051117 now. * add SSE optiomizations to _vp_couple. * add the dividing code of multi channel processing to xmmlib.h. * _vp_quantize_couple_memo, _vp_quantize_couple_sort is multithreaded under the OpenMP.

Greetings: We are evaluating the performance of R matrix algebra es as we port a MATLAB R14 script into R. The MATLAB code basically evaluates the AX=B system on sparse matrices that result in output matrices of 100 to 1,000,000 rows/columns. Our R prototype script uses spase base matrices and the methods qr() and qr.coeff(). The following statements are called inside a doubly-nested loop: G