similar to: [LLVMdev] A Question

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

Hello, I would like to extract Control Flow Graph and Data Flow Graph from a sample program written in C++, Can anybody please direct me to some examples? Thanks in advance -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20101012/fc071e63/attachment.html>

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

Hello I want to write a pass which insert a new call to a library function but I don't know how to create a CallInst that calls a function like "pthread_create", can anyone help me with this problem? -------------- next part -------------- An HTML attachment was scrubbed... URL:

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

Hi, I have an R script which is time consuming because it has two nested loops in it of at least 5000 iterations each, I have tried to use the multicore package but id doesn't seem to improve the elapsed time of the script(a shorter script for example) and I can't use the mcapply because of technical reasons. I was wondering how can I make my script use more cores and memory because I am

Hi, I have an R script which is time consuming because it has two nested loops in it of at least 5000 iterations each, I have tried to use the multicore package but id doesn't seem to improve the elapsed time of the script(a shorter script for example) and I can't use the mcapply because of technical reasons. I was wondering how can I make my script use more cores and memory because I am

Hi all, I have R installed on a box, which is running on a machine with 16 core and Redhat - Linux. I am handling huge (size of dataset will be 5 GB) dataset. Lets assume that my data is in the form of structured (multiple) logs. I access the data by using all.files(). Since by default basic version of R utilizes single core, the processing of my analysis code is taking too much time. I got to

Hi, We use Icecast 2.4.4 on debian 9 and Centos 7. How can we see if Icecast use multicores? Best regards, Michel -- -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.xiph.org/pipermail/icecast/attachments/20190306/dc2eba1e/attachment.html>

Hi I want to use LLVM to automatically translate sequential codes to multithreaded codes for execution on multicore processors. How should I start? Best Regards. -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20101004/db9ce7bf/attachment.html>

Hi Hamed, > I want to use LLVM to automatically translate sequential codes to multithreaded > codes for execution on multicore processors. > How should I start? currently LLVM does not have support for anything like this as far as I know. But perhaps you meant that you want to implement it, and are asking for advice? Ciao, Duncan.

Hello, I want to use some code written for program dependence graph iteration, but this code uses hash_map (#include "llvm/ADT/hash_map") which i think remove from llvm, does anyone know how can i use hsah_map or simply replace that? Thanks -------------- next part -------------- An HTML attachment was scrubbed... URL:

Hello, I am new to R and have created an application using R 2.10, with a graphical UI using TclTk 8.5, running on windows 7, quad core machine. The intention of the application is to launch calculations and display results on a graphical dashboard. I've reached a roadblock, and I need to confirm that the following CANNOT be done. I've been trying to find a mechanism for doing the

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]]

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 a Unix machine I ran caret::rfe using the multicore package, and I saved the resulting object using save(lm2, file = "lm2.RData"). [Reproducible example below.] When I try to load("lm2.RData") on my Windows laptop, I get Error in loadNamespace(name) : there is no package called 'multicore' I completely understand the error and I would like to ignore it and

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

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

dear R experts--- I am experimenting with multicore processing, so far with pretty disappointing results. Here is my simple example: A <- 100000 randvalues <- abs(rnorm(A)) minfn <- function( x, i ) { log(abs(x))+x^3+i/A+randvalues[i] } ?## an arbitrary function ARGV <- commandArgs(trailingOnly=TRUE) if (ARGV[1] == "do-onecore") { ?library(foreach) ?discard <-

Dear R users, we have a problem when building R packages which depend on platform specific packages. The following example will illustrate our problem: For parallel computing (in our own package) we want to use the multicore package. Since multicore is not available for Windows we subtitute it by the snowfall package. Currently we create two packages with different "Depends" argument