similar to: [LLVMdev] Detecting counted loops

Dear all, I have a dataset Exp name id x1 x2 x3 x4 x5 1 a 1 23 24 23 22 30 1 b 2 25 26 27 23 24 1 c 3 32 19 23 25 28 2 a 4 28 32 24 26 27 2 b 5 23 24 25 26 28 2 c 6 23 31 30 38 23 3 a 7 24 25 31 27 29 3 b 8 28 25 26 32 28 3 c 9 21 31 28 23 29 where each name a,b and c is repeated three times. Now I want to calculate the the averages of

I have 4 dell 2970 server , three server harddisk is 146Gx6 ,one hard disk is 72Gx6: each server mount info is /dev/sda4 on /exp1 type xfs (rw) /dev/sdb1 on /exp2 type xfs (rw) /dev/sdc1 on /exp3 type xfs (rw) /dev/sdd1 on /exp4 type xfs (rw) /dev/sde1 on /exp5 type xfs (rw) /dev/sdf1 on /exp6 type xfs (rw) I create a gluster volume have 4 stripe gluster volume create test-volume3 stripe 4

Good day, For lack of a better solution (or perhaps I am ignorant to something more elegant), I have been bootstrapping panel data by hand so to speak and I would like to know if there is a way to define multiple variables in a loop using the loop variable. I found a post (here: https://stat.ethz.ch/pipermail/r-help/2002-October/026305.html ) that discussed naming multiple variables but it

Hi, i have a dataframe such as: Exp1 Exp2 Exp3 name1 12.6 78.0 45.6 name2 11.9 19.0 21.0 name3 10.0 14.0 17.0 ... ... ... Real datasets might be quite large - 20,000 rows by 100 columns I want to calculate metrics such as the variation *row-wise*. So, var for name1, var for name 2, var for name3 etc. Can someone kindly guide me on how best to code this? Also, once such a metric has

On Fri, Oct 25, 2013 at 8:35 PM, Philip Reames <listmail at philipreames.com>wrote: > On 10/25/13 1:10 PM, Ben Karel wrote: > > > > > On Thu, Oct 24, 2013 at 6:42 PM, Sanjoy Das <sanjoy at azulsystems.com>wrote: > >> Hi Rafael, Andrew, >> >> Thank you for the prompt reply. >> >> One approach we've been considering involves

below is a code to compute hessian matrix , which i need to generate 29 number of different matrices for example first element in x1 and x2 is use to generate let say matrix (M1) and second element in x1 and x2 give matrix (M2) upto  matrix (M29) corresponding to the total number of observations and b1 and b2 are constant.  can some one guide me or help to implement this please. I did not

Thanks for the feedback. I think both of the suggestions are very reasonable. I’ll incorporate them. Given there were no objections for two weeks, I’m going to go ahead with posting individual patches for review. One small question inline: On Sep 28, 2020, at 10:56 AM, Philip Reames <listmail at philipreames.com<mailto:listmail at philipreames.com>> wrote: In general, I am

I'm moving this to a different thread. I think the newly proposed intrinsic definitions and their current implementation are valuable regardless of how it gets tied into GC... On Oct 22, 2013, at 6:24 PM, Philip R <listmail at philipreames.com> wrote: > Adding Gael as someone who has previously discussed vmkit topics on the list. Since I'm assuming this is where the GC support

On 02/24/2014 11:27 AM, Andrew Trick wrote: > > On Feb 24, 2014, at 11:17 AM, Philip Reames <listmail at philipreames.com > <mailto:listmail at philipreames.com>> wrote: > >> >> On 02/24/2014 12:45 AM, Andrew Trick wrote: >>> >>> On Feb 21, 2014, at 10:37 AM, Philip Reames >>> <listmail at philipreames.com <mailto:listmail at

Hi all, I don't know if I understand everything, but it seems really interesting for a runtime developer, stackmap and patchpoint looks perfect for a lot of optimizations :) I just have few question to verify if I understand what are these stackmaps and patchpoints, and I discuss the GC after. * I have a first very simple scenario (useful in vmkit). Let's imagine that we want to lazily

Hello, I am new to R and currently have the following problem: I have successfully loaded my data in R which consists of two numeric columns (LI_F and female) and one character column (Strain). So far I can plot two different set of boxplots for each of the numeric columns plotted by the groups of the character column and the commands look like that: boxplot(LI_F~Strain, ylab="LI_F",

TLDR: a proposal to add GC-parseable lowering to element atomic memcpy/memmove instrinsics controlled by a new "requires-statepoint” call attribute. Currently llvm.{memcpy|memmove}.element.unordered.atomic calls are considered as GC leaf functions (like most other intrinsics). As a result GC cannot occur while copy operation is in progress. This might have negative effect on GC latencies

The long term plan is a) evolving, and b) dependent on the specific use case. :) It would definitely be nice if we could support both early and late safepoint insertion. I see no reason that LLVM as a project should pick one or the other since the infrastructure required is largely overlapping. (Obviously, I'm going to be mostly working on the parts that I need, but others are always

On 10/25/13 1:10 PM, Ben Karel wrote: > > > > On Thu, Oct 24, 2013 at 6:42 PM, Sanjoy Das <sanjoy at azulsystems.com > <mailto:sanjoy at azulsystems.com>> wrote: > > Hi Rafael, Andrew, > > Thank you for the prompt reply. > > One approach we've been considering involves representing the > constraint "pointers to heap objects

Adding Gael as someone who has previously discussed vmkit topics on the list. Since I'm assuming this is where the GC support came from, I wanted to draw this conversation to the attention of someone more familiar with the LLVM implementation than myself. On 10/22/13 4:18 PM, Andrew Trick wrote: > On Oct 22, 2013, at 3:08 PM, Filip Pizlo <fpizlo at apple.com > <mailto:fpizlo

I'm also highly interested in relocating-GC support from LLVM. Up until now my GC implementation has been non-relocating which is obviously kind of a bummer given that it inhibits certain classes of memory allocation/deallocation tricks. I wrote up a bunch of my findings on the implementation of my GC here: https://code.google.com/p/epoch-language/wiki/GarbageCollectionScheme Frankly I

Hello, I ran two lme analyses and got expected results. However, I saw something suspicious regarding p-level for fixed effect. Models are the same, only experimental designs differ and, of course, subjects. I am aware that I could done nesting Subjects within Experiments, but it is expected to have much slower RT (reaction time) in the second experiment, since the task is more complex, so it

On 2011-10-31, at 17:21, Nicolas Geoffray wrote: > Here's a patch to allow a GCStrategy to customize the places where it wants to insert safe points. I'm not sure who maintains the GC code today in LLVM (I'd be happy to take ownership, if needed). > > The patch just adds up a custom safepoints flag, similar to the way the GCStrategy can customize intrinsics lowering, or

Hi Chris, Gordon, Here's a patch to allow a GCStrategy to customize the places where it wants to insert safe points. I'm not sure who maintains the GC code today in LLVM (I'd be happy to take ownership, if needed). The patch just adds up a custom safepoints flag, similar to the way the GCStrategy can customize intrinsics lowering, or roots initialization. It works pretty well, as

Dear Sirs, I am using both the Bioconductor adds on (Affy, AffyPLM,...) and the 'standard' R-package. I am trying to select a list of genes which all have expression values below a certain threshold. I have done this by creating a vector which has 0s where the expression is greater than the threshold and 1s where it is less than or equal to it. Multiplying this vector by the expression