similar to: [LLVMdev] Multi-dimensional array accesses in LLVM-IR | Thoughts

Hi, I had a few thoughts about recovering multi-dimensional accesses in Polly and maybe it's time to share them. On 09/12/2012 10:38 AM, Tobias Grosser wrote: > [...] Even in the last example which contains parameters both for the > sizes and the offsets, the parameters for the sizes are the only ones that > appear on the right hand sides ('8 * %m * %o' and '8 *

On Wed, 12 Sep 2012 14:18:43 +0200 Armin Größlinger <armin.groesslinger at uni-passau.de> wrote: > Hi, > > I had a few thoughts about recovering multi-dimensional accesses in > Polly and maybe it's time to share them. > > On 09/12/2012 10:38 AM, Tobias Grosser wrote: > > [...] Even in the last example which contains parameters both for > > the sizes and

Hi All, I want to make a 1 dimension vector from the first two dimensions of a 3 dimension array, so make a 2 dimension vector from a 3-dimension one, with "fusing" (making as.vector) the first two dimensions. It seems to be very easy, but I cannot find the solution, I mean it would very strange, that I would do taking the single 1 dimensional vectors from the 3 dimensional one, make one

I find the one-dimensional "integrate" very helpful, but often enough I stumble into problems that require two (or more)-dimensional integrals. I suppose there are no R functions that can do this for me, "directly"? The ideal thing would be to be able to define say f <- function(x) { x1 <- x[1] x2 <- x[2] sin(x1*x2)*exp(x1-x2) } and then write say integrate(f,

On 12 September 2012 09:38, Tobias Grosser <tobias at grosser.es> wrote: > I personally would first have a look at approach '2'. While I normally argue to leave the IR as it is (since it's a compiler IR, not a magical one), I can see some trends going on that should not be ignored. This is one example, where the front-end bends its knees to generate IR that LLVM understands,

I'm attempting to sort a 3 dimensional array that looks like this > x , , 1 [,1] [,2] [1,] 9 9 [2,] 7 9 , , 2 [,1] [,2] [1,] 6 5 [2,] 4 6 , , 3 [,1] [,2] [1,] 2 1 [2,] 3 2 Such that it ends up like this .... > y , , 1 [,1] [,2] [1,] 2 1 [2,] 3 2 , , 2 [,1] [,2] [1,] 6 5 [2,] 4 6 , , 3 [,1] [,2]

Hi every one, How is it possible to create a matrix with 3 dimensions from several 2 dimensional matrice? Is it possible that each of "elementary/building block" matrices could be called by its corresponding original name? Thanks alot. -- View this message in context:

I want to take slices of a multi-dimensional table (or array) without knowing the number of dimensions in advance. As a test I tried using (in this example a 3d table): do.call(`[`, list(tbl, x,NULL,NULL)] where I built the list on the fly. It works great as long as I only want the first dimension however when I try a different dimension, say with list(tbl,NULL,x,NULL), I get

Let's start with a concrete case of n=3 dimensions. Along dimension x, I have a matrix of 5 vectors (each with ten rows) Along dimension y, I have a matrix of 3 vectors (each with ten rows) Along dimension z, I have a matrix of 2 vectors (each with ten rows) I am trying to write a: function(..., funcp) { } where funcp(...) is an operator which works on n vectors and returns a numeric.

On Wed, 12 Sep 2012 15:56:25 +0100 Renato Golin <rengolin at systemcall.org> wrote: > On 12 September 2012 09:38, Tobias Grosser <tobias at grosser.es> wrote: > > I personally would first have a look at approach '2'. > > While I normally argue to leave the IR as it is (since it's a compiler > IR, not a magical one), I can see some trends going on that

Hi everyone, I created a four dimensional vector (dim (128,128,1,8)). This third dimension is necessary for another function somewhere. Now I'd like to perform a t-test on every vector of length 8 in my array on the fourth dimension. I'd like to obtain a new array of three dimensions with dimensions 128x128x1 with all these test statistics. I tried this with a double loop: A <-

Hi Simon, thank you for the concise reply. Do you mean the reported behavior of drop() is not a bug? It looks like a borderline bug to me (see below), but I'm not the judge of that. If this is the intended behavior and serves an actual purpose, then that could be explicitly documented in a \note{} on the help page. Such a note would slightly reduce the surprise of users running into this

I am trying to plot two 3-dimensional time series in one window (such that there will be 3 rows and 2 columns). For zoo and ts objects the par(mfrow...) option does not work. I can get xyplot to make the plots, but data are on widely different scales in the three dimensions, and xyplot uses the same scale on all y-axis which means that in some dimensions the curves will be almost horizontal lines.

Hi, I found that the R package "KernSmooth" can deal with only 1D and 2D data. But now I have a collection of 4-dimensional data (x1,x2,x3,x4) and would like to estimate the "mode" of the underlying density. What can I do about it ? Thanks a lot. -- Ying-Chao Hung Assistant Professor Graduate Institute of Statistics National Central University Chung-Li, Taiwan TEL:

I am using numerical optimization to fit a 1 parameter model, in which the input parameter is bounded. I am currently using optimize(), however, the problem turns out to have local minima, and optimize does not always seem to find the global minimum. I could to write a wrapping function that tries multiple intervals or starting values, but I would prefer a package that has built-in methods to make

I need to compute a high dimensional integral. Currently I'm using the function adapt in R package adapt. But this method is kind of slow to me. I'm wondering if there are other solutions. Thanks. Zhongwen -- View this message in context: http://www.nabble.com/functions-for-high-dimensional-integral-tp17702978p17702978.html Sent from the R help mailing list archive at Nabble.com.

Hi, I would like to read in multi-dimensional data from a text file, i.e. "tables" with more than 2 dimensions. I have looked for a function which I can abuse for that but haven't found anything. I would appreciate it a lot if somebody gave me a hint if such functions already exist somewhere. Thanks, Werner

how to implement multi dimensional array in ruby in ruby multi dimension array look like tree structure plz help me & explain with code have a pleasant day thx narayana -- Posted via http://www.ruby-forum.com/.

Hi everyone, My goal is to sample from a two-dimensional grid. Consider the following example of code: n.grid <- 500 muA.grid <- seq(-4,4, length=n.grid) muB.grid <- seq(-4,4, length=n.grid) mu.p <- matrix(NA, nrow=n.grid, ncol=n.grid) for(i in 1:n.grid){ for(j in 1:n.grid){ mu.p[i,j] <- dnorm(muA.grid[i], 0, 1)*dnorm(muB.grid[j], 0, 0.5) } } mu.p <-

> It seems that the main advantage of your proposal is that it would allow for non-constant strides (i.e. variable length arrays) in dimensions other than the first one. Do these appear frequently enough in the programs that you're interested in to be worth optimizing for? Yes - at least in Chapel (which is one of the motivating languages) these are very common. In other words, typical