similar to: Get llvm-mca results inside opt?

Andrea, thanks for the advice. On Jan 2, 2020, at 8:09 AM, Andrea Di Biagio <andrea.dibiagio at gmail.com<mailto:andrea.dibiagio at gmail.com>> wrote: Hi Lewis, Basically - if I understand correctly - you want to design a pass that uses llvm-mca as a library to compute throughput indicators for your outlined functions. You would then use those indicators to classify outlined

Hi Alex, On Sun, May 10, 2020 at 4:00 PM Alex Renda <renda at csail.mit.edu> wrote: > Thanks, that’s very helpful! > > > > Also, sorry for the miscue on that bug with the 2/4 cycles — I realize now > that that’s an artifact of a change that I made to not crash when resource > groups overlap without all atomic subunits being specified: > > `echo 'fxrstor

Hi Andrea, So does this definition make sense for basic blocks with more than one instructions? E.g. how should one interpret a basic block with RThroughput of 2.3? On Fri, Jun 7, 2019 at 7:39 AM Andrea Di Biagio <andrea.dibiagio at gmail.com> wrote: > Hi Tom, > > Field 'Total Cycles' from the summary view simply reports the elapsed > number of cycles for the entire

What is the difference between the two? I thought "Rthroughput" is basically the number of cycles required to execute a single iteration at steady state, but this does not seem to match with the schedule/timeline generated by llvm-mca. Thanks in advance, Tom -------------- next part -------------- An HTML attachment was scrubbed... URL:

> On May 9, 2020, at 5:12 PM, Andrea Di Biagio via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > The llvm scheduling model is quite simple and doesn't allow mca to accurately simulate the execution of individual uOPs. That limitation is sort-of acceptable if you consider how the scheduling model framework was originally designed with a different goal in mind (i.e. machine

> On Mar 6, 2018, at 4:20 AM, Andrea Di Biagio <andrea.dibiagio at gmail.com> wrote: > > To be clear then, resolveSchedClass should be moved from TargetSchedModel into MCSchedModel (which is where I originally wanted it). Any TargetInstrInfo APIs called from SchedPredicate should be moved to MCInstrInfo, which should be straightforward but annoying. > > Personally, I

On Tue, Mar 6, 2018 at 5:55 AM, Andrew Trick via llvm-dev < llvm-dev at lists.llvm.org> wrote: > > > On Mar 5, 2018, at 6:28 PM, Matthias Braun <mbraun at apple.com> wrote: > > > > On Mar 5, 2018, at 6:14 PM, Andrew Trick via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > > > > On Mar 5, 2018, at 3:38 PM, Quentin Colombet <qcolombet at

> On Mar 5, 2018, at 6:28 PM, Matthias Braun <mbraun at apple.com> wrote: > > > >> On Mar 5, 2018, at 6:14 PM, Andrew Trick via llvm-dev <llvm-dev at lists.llvm.org <mailto:llvm-dev at lists.llvm.org>> wrote: >> >> >> >>> On Mar 5, 2018, at 3:38 PM, Quentin Colombet <qcolombet at apple.com <mailto:qcolombet at

> On Mar 5, 2018, at 6:14 PM, Andrew Trick via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > > >> On Mar 5, 2018, at 3:38 PM, Quentin Colombet <qcolombet at apple.com <mailto:qcolombet at apple.com>> wrote: >> >> When Ahmed and I worked on the decompiler, we first targeted MC. Going to MI was more difficult and really wouldn’t have gotten us a

Hi Matt, I can see a near future where perf-analysis tooling uses branch history profiler captures to determine how often loops/branches are taken and feeds that into llvm-mca, especially for hot/branchy loop analysis reports etc. Are you confident that your approach will be easily extendable for this? Similarly, being able to generally embed the profile markers in object libraries for

Hi, I’m trying to work out the behavior of llvm-mca on instructions with ProcResGroups. My current understanding is: When an instruction requests a port group (e.g., HWPort015) and all of its atomic sub-resources (e.g., HWPort0,HWPort1,HWPort5), HWPort015 is marked as “reserved” and is issued in parallel with HWPort0, HWPort1, and HWPort5, blocking future instructions from reserving HWPort015

Dear all, I tried out the example in the help document for mca (the multiple correspondence analysis of the MASS package): farms.mca <- mca(farms, abbrev=TRUE) farms.mca plot(farms.mca) But the graphic that I get seems unfeasible to me: I cannot recognize the numbers (printed in black) because they are all overlapping and concealing each other. I don ?t dare using my own data, which

Greetings. I'm about to embark on my first big (to me at least!) R project, which will be to write a function to plot three-dimensional multiple correspondence analysis (mca) plots in a manner similar to scatterplot3d(). (plot.mca() plots only two dimensions, even though mca() will calculate more.) Before I do so, however, I would love to know that I'm not reinventing the wheel or any

(on the correct mailing list) Hi all, tl;dr: We'd like to propose moving tools/llvm-mca/lib into lib/MCA and create a new MCA library in LLVM. llvm-mca has recently been split <https://bugs.llvm.org/show_bug.cgi?id=37696> into its core part and the tool part. - The core part simulates the execution of a basic block of machine instructions as modeled by the llvm SchedModel.

Hi All, I would like to use llvm-mca to estimate the IPC of a given code region. I am interested in the library version (https://reviews.llvm.org/D50929?id=162210 <https://reviews.llvm.org/D50929?id=162210>) but I have troubles understanding how to use it. Could you please point me to some documentations or (better) some code examples if any? Reading the documentation

Hi,all: I want to perform multiple correspondance analysis via MCA{FactoMineR}. The data is in the attachment. My code: dat<-read.delim("e:\\mydata.txt",header=T) MCA(dat,quanti.sup=7,quali.sup=1:6) Error in `[.data.frame`(tab, , i) : undefined columns selected My question: Why does the error happen? Many thanks. Best. -------------- next part -------------- An embedded and

Introduction ----------------- Currently llvm-mca only accepts assembly code as input. We would like to extend llvm-mca to support object files, allowing users to analyze the performance of binaries. The proposed changes (which involve both clang and llvm) optionally introduce an object file section, but this can be stripped-out if desired. For the llvm-mca binary support feature to be useful, a

Dear list, Working the example in Stats complements to V&R 3rd ed., I found this : > library(MASS) > library(mva) > data(farms) > plot(mca(farms,abbrev=TRUE),cex=rep(0.7,2)) # ... Works OK # Sheer curiosity ... > plot(mca(farms,abbrev=TRUE,nf=4),cex=rep(0.7,2)) Error in rep(p * X.svd$d[sec], c(n, n)) : invalid number of copies in "rep" A bit of exploration in the

Dear list: I have tried MASS's mca function and SAS's PROC corresp on the farms data (included in MASS, also used as mca's example), the results are different: R: mca(farms)$rs: 1 2 1 0.059296637 0.0455871427 2 0.043077902 -0.0354728795 3 0.059834286 0.0730485572 4 0.059834286 0.0730485572 5 0.012900181 -0.0503121890 6

Hi Lorenzo, I’ll answer the first question you have: > I would like to use llvm-mca to estimate the IPC of a given code region. I am interested in the library version