search for: parallis

I was thinking about [Bug 3099]... in that while it's easy to get a 2-3x speed for the average app using parallel scans, the upper and lower bounds on that speed increase could be <1x in a worst case (very unlikely, but with primitive or constrained (in a container or VM) HW, the chances are raised. Better, with less std. deviation, I believe, might be to move I/O calls to all being AIO

This is a great wine from L'Empurd?, Spain. If you want to know more information contact: Direction: C/ Garriguella 8 Town: Mollet de Peralada Comarca: Alt Empord? CP: 17752 Tel?fon: 972634320 It's the best wine I've ever seen.

On Nov 3, 2008, at 3:55 PM, heisenbug wrote: > What about "inventing" pseudo-constants (which point to the right > thing) and build the piece of IR with them. When done, grab mutex and > RAUW it in. Alternatively, submit to a privileged thread that performs > the RAUW. > The trick is to prepare the def/use chain(s) to a degree that the > mutex is only held a minimal

On Mon, 2008-11-03 at 01:06 -0800, Chris Lattner wrote: > On Nov 2, 2008, at 2:20 PM, Jonathan Brandmeyer wrote: > > I am interested in making my LLVM front-end multi-threaded in a way > > similar to the GCC compiler server proposal and was wondering about > > the > > extent that the LLVM passes support it. > > Do you have a link for this? I'm not familiar

I''m trying to index ~130,000 documents [soon to grow to about 500,000 documents] and I''m wondering if its possible to combine ferret databases or in some other way split up the building process. Normally, indexing 130k documents wouldn''t be that painful except that there are different types of links between these documents and they are not absolute (so for example

On 3 Nov., 10:06, Chris Lattner <clatt... at apple.com> wrote: > On Nov 2, 2008, at 2:20 PM, Jonathan Brandmeyer wrote: > > > I am interested in making my LLVM front-end multi-threaded in a way > > similar to the GCC compiler server proposal and was wondering about   > > the > > extent that the LLVM passes support it. > > Do you have a link for this?

Dear All, I work for the small IT company and I would like to ask the question concerning the project that I work on-Namely is it posible to run multiple instances of Samba and LDAP paralely on the one server --For example one cental server for Samba and LDAP and one instance running for each separate client -and if it possible the suggestion how to best accomplish that ... I thank you in

On Nov 2, 2008, at 2:20 PM, Jonathan Brandmeyer wrote: > I am interested in making my LLVM front-end multi-threaded in a way > similar to the GCC compiler server proposal and was wondering about > the > extent that the LLVM passes support it. Do you have a link for this? I'm not familiar with any parallelism proposed by that project. My understanding was that it was mostly

I am interested in making my LLVM front-end multi-threaded in a way similar to the GCC compiler server proposal and was wondering about the extent that the LLVM passes support it. Expression-at-a-time parallel construction: If function definitions are built purely depth-first, such that the parent pointers are not provided as they are created, what will break? I noted that the function and module

Is there a way to speed up rsync by opening more than one daemon in parallel. I use rsync --daemon to start rsync. I was wondering if opening more than one instance is recommended or feasible? I know that for services like nfs for example I have had opening many instances improve performance. I have 4 cores available so if there are any other parallization modes I'd be glad to know since I

Dear all, I've found a bug report for R when installing it on an AIX5.1 system. There's a followup (number 4) that comments a segmentation fault on R when quitting "q()". I'm using a newer version of R but on the same operating system and I obtain the same error. There was a way to solve this problem? Best regards and thanks, --

Does anyone have any guidance on swap and memory configuration when running R v2.15.1 on UNIX/LINUX? Through some benchmarking across multiple hardware (UNIX, LINUX, SPARC, x86, Windows, physical, virtual) it "seems" that the smaller memory machines have an advantage. Typically my organization builds their UNIX servers at a 1:1 physical memory:swap configuration. We plan on running

On 7/17/13 12:35 PM, Diego Novillo wrote: > On Fri, Jul 12, 2013 at 3:49 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: > >> 3. How to parallelize post-IPO stage >> ==================================== >> >> From 5k' high, the concept is very simple, just to >> step 1).divide the merged IR into small pieces, >> step 2).and compile

Hi Timothy, Today I happened to download the code and do some experiments. I actually wanted to see how you handle inter-procedure alias analysis. So, I set inline threshold to zero and tried out following example =============================================== #define N 1024 void func(double *A, double *B) { int i; for (i=1; i<N-2; i++) { B[i] = A[i] + i*3; } } void func1(double

Hi Rahul, Thanks for your interest! Our work does not attempt to make any significant contributions to alias analysis, and acts as a client to existing LLVM AA. Furthermore, the options passed to the AESOP frontend scripts are obeyed at compile time, but at link time certain transformations occur unconditionally. Here, AESOP has actually thwarted your experiment by performing inlining just

On Mon, Mar 04, 2013 at 03:01:15PM +0800, 陳韋任 (Wei-Ren Chen) wrote: > Hi Timothy, > > > We would like to inform the community that we're releasing a version of our research compiler, "AESOP", developed at UMD using LLVM. AESOP is a distance-vector-based autoparallelizing compiler for shared-memory machines. The source code and some further information is available at

On Wed, Jul 17, 2013 at 1:06 PM, Shuxin Yang <shuxin.llvm at gmail.com> wrote: > > On 7/17/13 12:35 PM, Diego Novillo wrote: >> >> On Fri, Jul 12, 2013 at 3:49 PM, Shuxin Yang <shuxin.llvm at gmail.com> >> wrote: >> >>> 3. How to parallelize post-IPO stage >>> ==================================== >>> >>> From 5k'

Hi, I am trying to parallize the lli interpreter (code: http://pastebin.com/6iuHNH3Q). I am using ubuntu 12.04 with llvm version 3.1. Each thread uses a seperate LLVMContext, however the interpreter continues to crash. $ clang -S -emit-llvm test.c && parallel_lli test.s Error msg: ..../include/llvm/Support/Mutex.h:116: bool llvm::sys::SmartMutex<true>::release(): Assertion

Dear expeRts, is it possible to carry out calculations between different foreach() calls? As for nested loops, you want to carry out calcuations not depending on the inner loop only once and not for each iteration of the innermost loop. Cheers, Marius library(foreach) foreach(i=1:3) %:% foreach(j=1:2) %do% { i <- i+1 print(paste(i,j)) } foreach(i=1:3) %:% i

Dear all I have the following code that works in paraller (and is pretty fast actually) The only problem I still have is that every core just prints only once. dimz<-1000 Shadowlist<-mclapply(1:dimz, function(i) { ????????????????????????????? print(sprintf('Creating the %d map',i)); ????????????????????????????? createField(x=x, y=y, model=model,