similar to: [LLVMdev] HazardRecognizer and RegisterAllocation

On Jan 19, 2009, at 9:17 AM, Patrick Boettcher wrote: > Hi list, > > in our LLVM-based-project we are writing a backend for our > processor. The > architecture is a quite straight-forward RISC, but it does not have > hardware interlocks, i.e. data hazards involving memory access must be > resolved by the compiler, either by scheduling unrelated > instructions or >

Hi Evan, thanks for your response. On Mon, 19 Jan 2009, Evan Cheng wrote: >> For example, code which looks like that: >> >> load 0x1234, reg1 >> noop >> noop >> add reg1, 1 >> load 0x1236, reg2 >> >> can be safely transformed to: >> >> load 0x1234, reg1 >> load 0x1236, reg2 >> noop >> add reg1, 1 >> >

Dan: CellSPU could clearly benefit from the post-RA scheduler. In fact, we were thinking about writing a machine pass of our own. One thing that does "disturb" me is that both HazardRecognizer and post-RA sched assume there's only one kind of NOP. For Cell, there are two, depending upon the pipeline being filled. Pipe 0 takes "ENOP" whereas Pipe 1 take

On Jan 19, 2009, at 11:01 AM, Patrick Boettcher wrote: > > >>> And more generally: Is the hazardRecognizer the right and only way >>> to >>> solve our NOOP-minimizing problem? >> >> Perhaps you want to do this after register allocation is done. Dan is >> developing the post-allocation scheduler. You can try it out. > > Interesting. Can it

Dear R Users, I am looking for an alternative to AIC or BIC to choose model parameters. This is somewhat of a general statistics question, but I ask it in this forum as I am looking for a R solution. Suppose I have one dependent variable, y, and two independent variables, x1 an x2. I can perform three regressions: reg1: y~x1 reg2: y~x2 reg3: y~x1+x2 The AIC of reg1 is 2000, reg2 is

Hi all, Our target does not have native support for 64-bit integers, so we rely on library calls for certain operations (like sdiv). We recently ran into a problem where these operations that are expanded to library calls aren't maintaining the proper ordering in relation to other chains in the DAG. The following snippet of a DAG demonstrates the problem. t0: ch = EntryToken t2:

> On Sep 13, 2017, at 9:03 PM, jin chuan see via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hi All, > > Thanks for the reply. I managed to identify and fixed a few errors in my implementation. > > However, there are a few errors that i am not sure what is it indicating. > For starters, i think i should explain what i am trying to achieve. > > I am

Hi, I am trying to create a scatterplot, coding each point to one of 5 populations. I was successful when I did this for one set of data, yet when I try plotting other data a blank plot appears (although the axes are labelled and I can fit the regression lines from each population). I have tried a variety of things to fix this but nothing seems to work. I can plot the points if I do not

I am relatively new to R and object oriented programming. I have relied on SAS for most of my data analysis. I teach an introductory undergraduate forecasting course using the Diebold text and I am considering using R in addition to SAS and Eviews in the course. I work primarily with univariate or multivariate time series data. I am having a great deal of difficulty understanding and working with

Hi, I have a problem regarding sub-register definitions and LiveIntervals on our target. When a subregister is defined, other parts of the register are always left untouched - they are neither read or def:ed. It however seems that Codegen treats subregister definitions as somehow clobbering the whole register. The SSA-code looks like this after isel: (Reg0 and Reg1 are 16bit registers. Reg2,

Dear R users, I have a problem with multicollinearity in mixed models and I am using lmer in package lme4. From previous mailing list, I learn of a reply "http://www.mail-archive.com/r-help at stat.math.ethz.ch/msg38537.html" which states that if not for interpretation but just for prediction, multicollinearity does not matter much. However, I am using mixed model to interpret something,

Running llc with '-verify-machineinstrs' may tell you which instruction break the SSA form. Ruiling From: llvm-dev [mailto:llvm-dev-bounces at lists.llvm.org] On Behalf Of jin chuan see via llvm-dev Sent: Monday, September 11, 2017 10:02 AM To: Matthias Braun <mbraun at apple.com> Cc: llvm-dev at lists.llvm.org Subject: Re: [llvm-dev] Live Register Spilling Sorry about the

> Of course, and the point is that, for example, on x86_64, the zext here is free. I'm still trying to understand the problem... > > In the example you provided in your previous e-mail, we choose the solution: > > `GEP @Global, zext(V)` -> `GEP (@Global + zext VStart), {i64 0,+,1}` > `V` -> `trunc({i64 0,+,1}) + VStart` > > instead of the actually-better

I am having an issue with lmer that I wonder if someone could explain. I am trying to fit a mixed effects model to a set of longitudinal data over a set of individual subjects: (fm1 <- lmer(x ~ time + (time|ID),aa)) I quite often find that the correlation between the random effects is 1.0: Linear mixed model fit by REML Formula: x ~ time + (time | ID) Data: aa AIC BIC logLik deviance

On Monday 19 January 2009 19:47, Dan Gohman wrote: > > Can they be used in conjunction with > > MemoryDependenceAnalysis? e.g. can we write a MachineInstructions- > > based > > memory dependence analysis that uses MachineMemoryOperands? > > Right, the existing MemoryDependenceAnalysis works in terms of > LLVM-IR-level Instructions, but yes, it would be possible

On Jan 19, 2009, at 3:38 PM, David Greene wrote: > On Monday 19 January 2009 16:42, Dan Gohman wrote: > >>>> Perhaps you want to do this after register allocation is done. >>>> Dan is >>>> developing the post-allocation scheduler. You can try it out. >>> >>> Interesting. Can it already be found SVN? I will search the mail >>>

On Monday 19 January 2009 16:42, Dan Gohman wrote: > >> Perhaps you want to do this after register allocation is done. Dan is > >> developing the post-allocation scheduler. You can try it out. > > > > Interesting. Can it already be found SVN? I will search the mail > > archive > > later, if not. > > Yes, it is in SVN. It's new, and so far

On Jan 19, 2009, at 5:06 PM, David Greene wrote: > On Monday 19 January 2009 18:21, Dan Gohman wrote: > >>> Dan, how does the scheduler handle memory dependence? I'm working >>> on >>> something that requires memory dependence information for >>> MachineInstructions. >> >> At the moment, it knows simple things, like constant pool loads

Dear all, i am doing linear regression with robust error to know the effect of a (x) variable on (y)other if i execute the command i found positive trend. But if i check the effect of number of (x.x1,x2,x3)variables on same (y)variable then the positive effect shwon by x variable turns to negative. so plz help me in this situation. Barjesh Kochar Research scholar

On Monday 19 January 2009 18:21, Dan Gohman wrote: > > Dan, how does the scheduler handle memory dependence? I'm working on > > something that requires memory dependence information for > > MachineInstructions. > > At the moment, it knows simple things, like constant pool loads > don't have dependencies, and references to distinct stack slots are >