similar to: [LLVMdev] regarding multicore support for LLVM

It is so difficult ... Which FE? It need BE support? I didn't get it. 2010/8/4 vijay kumar <vijaygbvv at gmail.com> > Yeah OpenMP support. I read that it has a front end support but not the > back end. So are there any projects or teams looking at this issue. > > On Wed, Aug 4, 2010 at 7:24 AM, Liu <proljc at gmail.com> wrote: > >> Multicore? >> You

On Aug 3, 2010, at 8:48 PM, Liu wrote: > It is so difficult ... > Which FE? It need BE support? I didn't get it. > > 2010/8/4 vijay kumar <vijaygbvv at gmail.com> > Yeah OpenMP support. I read that it has a front end support but not the back end. So are there any projects or teams looking at this issue. > > On Wed, Aug 4, 2010 at 7:24 AM, Liu <proljc at

I'm using Clang but not llvm-gcc. Now, I get it. Maybe Clang will support it soon, but I think it have nothing to do with BE... 2010/8/4 Eric Christopher <echristo at apple.com> > > On Aug 3, 2010, at 8:48 PM, Liu wrote: > > > It is so difficult ... > > Which FE? It need BE support? I didn't get it. > > > > 2010/8/4 vijay kumar <vijaygbvv at

Multicore? You want OpenMP support? 2010/8/3 vijay kumar <vijaygbvv at gmail.com> > Hi all, > I am new to this LLVM. I went through the documenation of LLVM but > I didn't find any support for Multicore. Is there any such possibility where > multicore architecture can be exploited using LLVM. > > > > Thanks > Vijay > >

Hi all, I am new to this LLVM. I went through the documenation of LLVM but I didn't find any support for Multicore. Is there any such possibility where multicore architecture can be exploited using LLVM. Thanks Vijay -------------- next part -------------- An HTML attachment was scrubbed... URL:

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

On 12/27/09 10:18, ether wrote: > hi Tobi , > > that sounds greate :D > > On 2009-12-27 5:43, Tobias Grosser wrote: >> I already looked into implementing something like Graphite for LLVM. >> However just recently, so I have not released any code yet. As soon as >> some code is available I will post patches. > whats its status? do you need any help? Very

Hi ether, On 12/26/09 13:06, ether zhhb wrote: > hi, > > dose anyone going/planning to add something like > Graphite(http://gcc.gnu.org/wiki/Graphite) in gcc to llvm(or that > should be implement at the level of clang?)? I already looked into implementing something like Graphite for LLVM. However just recently, so I have not released any code yet. As soon as some code is

dear R readers---I thought I would post the following snippet of R code that makes by() like operations easier and faster on multicore machines for R novices and amateurs. I hope it helps some. YMMV. feel free to ignore. PS: I wish R had a POD-like documentation system for end users that are not writing full libraries. because it does not, I did not provide documentation ala '?mc.by'.

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

Hi, I want to parallelize some computations when it's possible on multicore machines. Each computation produces a big objects that I don't want to store if not necessary: in the end only the object that best fits my data have to be returned. In non-parallel mode, a single gloabl object is updated if the current computation gets a better result than the best previously found. My plan

Sir, I want to apply mclapply() function for my analysis. So, I have to install multicore package. But I can not install the package. >install.packages("multicore") It gives that package multicore is not available. Can you help me? Regards, Suman Dhara [[alternative HTML version deleted]]

Hello All, In general when we use Rprof for performance evaluation on Multicore systems the output provides the time on the basis of the "user" time and the sampling time is equal to the the user time as reported by system.time. This does not seem right behavior when R is linked to BLAS/Lapack or other libraries which are optimized for parallel or multicore architectures as

Hello All, In general when we use Rprof for performance evaluation on Multicore systems the output provides the time on the basis of the "user" time and the sampling time is equal to the the user time as reported by system.time. This does not seem right behavior when R is linked to BLAS/Lapack or other libraries which are optimized for parallel or multicore architectures as

Dear all, I am trying to improve my code for many cores. I have started with multicore package and the function mclapply. A multicore version of the lcapply. One problem I have is that when I use this function (you can copy and paste the below) require('multicore') returni <-function(i) {i} system.time(mclapply(seq(1:100000),returni)) I get 4 more versions of rkward.bin running (my

Quick question regarding multicore versions of mapply. Package 'multicore' provides a parallelized version of 'lapply', called 'mclapply'. I haven't found any parallelized versions of 'mapply', however (although one can use the lower level function 'parallel', it becomes harder to control the number of spawned processes etc). Is anyone aware of a

I'm trying to understand how to use the multicore package. In particular, I'm trying to work out what is covered where it says this in the help file for the parallel function: expr: expression to evaluate (do _not_ use any on-screen devices or GUI elements in this code) Can a function that produces an EPS file be considered an "expression" in this case? I've

Dear All, At least in three different GNU/Linux systems, the parallel function from the multicore package leaves defunct (zombie) R processes. For instance library(multicore) parallel(1:5) collect() After collect, the child process (with pid as given by collect) is left defunct. (If we run the last two lines of code again, the previously defunct process will be replaced by the new defunct

Is there any reason to expect a problem ? i'm running this script on the cluster down the hall: module load R/2.11.0 R library(multicore) fxx<-function(ll) runif(1) mclapply(1:10,fxx) i get: Error in fork() : Unable to fork. less /proc/cpuinfo yields: processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 15 model name : Intel(R) Xeon(R) CPU