search for: pressured

Data set up as one observation/subject looks like (with a total of 10 subjects) Two treatments: shoe type with 3 categories and region with 8 categories ==> 24 "treatment" columns Subject PHallux PMidToes PLatToe PMTH1 PMidMTH PLatMTH PMidfoot PRearfoot LHallux LMidToes LLatToe LMTH1 LMidMTH LLatMTH LMidfoot LRearfoot DHallux DMidToes DLatToe DMTH1 DMidMTH DLatMTH

Dear all, I've got a problem in including square variables in lme function. I've tried to work on Dialyzer data of Pinheiro and Bates'book. We fit the heteroscedastic model with: > data(Dialyzer) > fm2Dial.lme<-lme(rate~(pressure+pressure^2+pressure^3+pressure^4)*QB, + Dialyzer,~pressure+pressure^2,weights=varPower(form=~pressure)) We Obtain > fm2Dial.lme Linear

New to R. I am trying to create a simple xy plot wherein the line segment color is determined by a categorical column The following does not change colors for me, probably because I don't quite have a handle on either functions or value mapping syntax. ---------- time <- c(1, 2, 3, 7,10,11,14,16,20) pressure <- c(0,10,20,20,50,18,60,65,90) status <- c(0, 0, 1, 1, 1, 0, 3, 3,

Hi everyone, I'm looking through codes related to registered pressure tracking, mainly the source files 'RegisterPressure.h/cpp', 'MachineRegisterInfo.h/cpp', 'TargetRegisterInfo.h/cpp'. There is a concept I can hardly understand, the 'register pressure set'. Class 'TargetRegisterInfo' defines two virtual methods 'getRegClassPressureSets' and

I am working on a project where we are integrating an existing pre-RA scheduler into LLVM and we are trying to match our peak register pressure values with the machine instruction schedulers values while using X86. I am finding some mismatches in test cases like the one attached. The registers "AH" and "AL" are live-out but not live-in and I don't see that they are defined

Hello, In a previous email, Matthias mentioned that register pressure estimates in the machine scheduler are not absolute; they only account for the registers that are used in the block.I assume that he meant that registers that are live-through (both live-in and live-out) are not accounted for in register pressure calculations. If a register is either live-in or live-out but not both, it must be

Hello, I have two series, one with stream stage measurements every 5 minutes, and the other with barometric pressure measurements every hour. I want to subtract each barometric pressure measurement from the 12 stage measurements closest in time to it (6 stage measurements on either side of the hour). I want to do something like the following, but I don't know the syntax. "If the

Hello. Does anybody have an idea why I'm getting the error below when using llc with arguments -O1 -disable-cgp? Note that this error is not given when using llc -O0. (I'd like to mention also I'm using custom Instruction selection for BUILD_VECTOR, which gets converted in my back end's machine instrution VLOAD_D, although the custom code seems to always select

Hi all, I am very confused with class. I am looking at some weather data which I want to use as explanatory variables in an lm. R has treated these variables as factors (i.e. with different levels), whereas I want them treated as discretely measured continuous variables. So I need to reassign the class of these variables, right? Indeed, doing class(southwest$pressure) (pressure being air

Hi Xing, The register pressure sets are basically concepts that tells you how may variables can live in register at the same time. This information is available for two different level of abstraction: per register class and per register unit. The register unit is the basic entity we use to represent a register. Tablegen generates all of that for you, so you do not need to worry about them.

Hi, We are working on a research project whose objective is developing a pre-allocation scheduling algorithm that achieves the optimal balance between exploiting ILP (hiding latencies) and minimizing register pressure.  A prototype of our algorithm has been implemented and integrated into an experimental version of LLVM 2.9. Our algorithm is based on a combinatorial optimization approach, which

On Aug 15, 2011, at 1:27 AM, Ghassan Shobaki wrote: > One factor that is causing our current register pressure estimate to be off is not being able to properly account for live-in and live-out registers (both virtual and physical). As far as we can tell, LLVM represents live-in regs with CopyFromReg instrs and live-out regs with CopyToReg instrs. However, it looks that in a given basic block,

Dear All, using the example from the help of summary.rms library(rms) n <- 1000 # define sample size set.seed(17) # so can reproduce the results age <- rnorm(n, 50, 10) blood.pressure <- rnorm(n, 120, 15) cholesterol <- rnorm(n, 200, 25) sex <- factor(sample(c('female','male'), n,TRUE)) label(age) <- 'Age'

Hey Everyone, I'd like to begin a project to rework the scheduler to address some problems we've discovered on this end. The goal is to get a more configurable/flexible scheduler while simplifying maintenance by separating policy from implementation to get independent and interchangeable parts. This is going to be challenging because we are still stuck on LLVM 2.9. We will be upgrading

Hi everyone, The MachineLICM pass has a heuristic such that, even in low-register-pressure situations, it will refuse to hoist "cheap" instructions out of loops. By default, when an itinerary is available, this means that all of the defined operands are available in at most 1 cycle. ARM overrides this, and provides this more-customized definition: bool ARMBaseInstrInfo::

I thought about a little bit more, I think adding Register pressure control in your patch or PRE may be the only choice. Because at least for this case I am looking at, what your patch did is created more relatively complex long live range, rematerialization is not smart enough to undo your change or at least without a lot of work, coalescing only create even longer live range not shorter,

  Hola,   Por favor, ¿podríais indicarme qué recursos (librerías o ideas) pueden resultar de utilidad para crear un gráfico del estilo del de la figura 3.8 del siguiente link?   http://www.tsc.uvigo.es/BIO/Bioing/ChrLDoc3.html#3.5   Actualmente estoy utilizando funciones muy básicas y la verdad es que no me encuentro muy satisfecha con el resultado.   Muchas gracias.   Eva [[alternative HTML

> On Aug 30, 2017, at 1:43 PM, Matthias Braun <matze at braunis.de> wrote: > > That means you cannot use the code from RegisterPressure.{cpp|h} to compute this. The other liveness analysis we have in llvm codegen is LiveIntervals (LiveItnervalAnalysis) which gives you a list of liveness segments of a given vreg (the same representation is used in most linear scan allocators even

Hi, I am currently writing a paper documenting a research project that we have done on pre-allocation instruction scheduling to balance ILP and register pressure. In the paper we compare the pre-allocation scheduler that we have developed to LLVM's default schedulers for two targets: x86-64 and x86-32. We would like to include in our paper some brief descriptions of the two LLVM

Thank you for the answers, Jakob! That's really informative for someone who is still new to LLVM like me. Please see my responses below. -Ghassan  ________________________________ From: Jakob Stoklund Olesen <stoklund at 2pi.dk> To: Ghassan Shobaki <ghassan_shobaki at yahoo.com> Cc: "llvmdev at cs.uiuc.edu" <llvmdev at cs.uiuc.edu> Sent: Tuesday, August 16,