similar to: [LLVMdev] Loop rotation and loop inversion in LLVM?

Hi, I have read an email from the mail list. And I have a question about loop rotation. What is it if it is the case below. -------------------------------------------------------------------------- loop: A br X B br Y C br loop, Z ------------------------------------------------- Thanks! Jerry [LLVMdev] Loop rotation and loop inversion in LLVM? Andrew Trickatrick at apple.com Mon May 20

Hello, I only recently started to look at LLVM assembly generated by Clang, and one of the first thing I saw was like: define i32 @foo(i32 %a, i32 %b) nounwind { %1 = tail call i32 @bar(i32 %a) nounwind %2 = icmp eq i32 %1, 0 br i1 %2, label %5, label %3 ; <label>:3 ; preds = %0 %4 = add nsw i32 %b, %a br label %7 I wondered what ";

On Mon, May 13, 2013 at 5:31 PM, Paul Sokolovsky <pmiscml at gmail.com> wrote: > Hello, > > I only recently started to look at LLVM assembly generated by Clang, > and one of the first thing I saw was like: > > define i32 @foo(i32 %a, i32 %b) nounwind { > %1 = tail call i32 @bar(i32 %a) nounwind > %2 = icmp eq i32 %1, 0 > br i1 %2, label %5, label %3 >

Hello, LLVM provides several ways to visual IR structure straight in its core - Function::viewCFG() to render control flow graph, then -view-* options to llc to render various stages of transforming to machine code. However, I wasn't able to find a way to render complete DAG visualization of normal IR - which besides CFG would also show dataflow (and other flows, if any). What people use to

Hello, I'm trying to understand how fitting source integer type width into target machine register width happens. My reading on LLVM codegeneration topics (few megabytes) so far didn't have this topic mentioned explicitly. As an example, how %1 = add nsw i32 %b, %a gets compiled into msp430 (16bit CPU) assembly as: add.w r13, r15 addc.w r12, r14 Using -print-before-all

Hello, On Fri, 22 Feb 2013 16:50:39 +0400 Anton Korobeynikov <anton at korobeynikov.info> wrote: > Hello > > > I'm trying to understand how fitting source integer type width into > > target machine register width happens. My reading on LLVM > > codegeneration topics (few megabytes) so far didn't have this topic > > mentioned explicitly. > This is

Hello, On Sun, 24 Feb 2013 19:15:27 +0100 Sebastian Dreßler <dressler at zib.de> wrote: [] > For a project involving a tree data structure, we created a graph for > representing IR for further analysis. I attached an excerpt of such a > graph to give you an idea. If it helps, we will see how to proceed ;) Well, after grepping LLVM source for apparent lack of it and googling for

Hi, In R, qnorm is the inversion function of pnorm. (c.d.f) But there is no inversion function for dnorm. (p.d.f). Is there any easy (and quick) way to compute the inversion function of p.d.f in R ? Thanks ...

I cannot find what is the function label for matrix inversion in R. I have found 'ginv' for the moore-penrose in the MASS package, but there is probably a simple inversion operator in the base package. Where can I find it? ____________________________________________ Yvonnick Noel, PhD. University of Lille 3 Department of Psychology F-59653 Villeneuve d'Ascq Cedex (+33) 320 41 63 48

Hi Folks, I've been looking around and found some references of some Caller ID patches (Mantis bug#9) for X100P and TDM400 for Netherlands, Sweden and UK. It's been quite hard to understand what has finally been incorporated to the distribution (if anything) or which patches must be applied in witch snapshot of the repository. I've tried some different approaches but nothing worked

Hello I've stumbled upon a problem for inversion of a matrix with large values, and I haven't found a solution yet... I wondered if someone could give a hand. (It is about automatic optimisation of a calibration process, which involves the inverse of the information matrix) code: ********************* > macht=0.8698965 > coeff=1.106836*10^(-8) >

http://dl.acm.org/citation.cfm?id=2843863 Luke Jones, Ryan Whelan, Jeremy Blackthorne, and Graham Baker. 2015. Flowtables: Program Skeletal Inversion for Defeat of Interprocedural Analysis with Unique Metamorphism. In Proceedings of the 5th Program Protection and Reverse Engineering Workshop (PPREW-5). ACM, New York, NY, USA, , Article 6 , 11 pages. DOI=http://dx.doi.org/10.1145/2843859.2843863

On 3.8-rc2 with lockdep enabled and dual-GPU setup (Macbook Pro Retina), I see two releated lock inversion issues with the EFI framebuffer, leading to possible deadlock: when X takes over from the EFI framebuffer [1] and when nouveau releases the framebuffer when being vgaswitcherood [2]. Let me know if you'd like any testing or analysis when I can get the time. Many thanks, Daniel ---

Hi, On 02/24/2013 06:39 PM, Paul Sokolovsky wrote: > Hello, > > LLVM provides several ways to visual IR structure straight in its core - > Function::viewCFG() to render control flow graph, then -view-* options > to llc to render various stages of transforming to machine code. > However, I wasn't able to find a way to render complete DAG > visualization of normal IR -

FYI for people who may be interested in using LLVM with 8-bit CPUs. Begin forwarded message: Date: Sat, 11 May 2013 15:29:12 +0300 From: Paul Sokolovsky To: sdcc-devel at lists.sourceforge.net Subject: Accepting iCode as input to SDCC Hello, I'm interested to make SDCC accept iCode (its own intermediate representation) as an input format. The motivation being taking intermediate format

Hello. I am trying to invert a matrix, and I am finding that I can get different answers depending on whether I set LAPACK true or false using "qr". I had understood that LAPACK is, in general more robust and faster than LINPACK, so I am confused as to why I am getting what seems to be invalid answers. The matrix is ostensibly the Hessian for a function I am optimizing. I want to get

Greetings, New to R, coming from Java (Spring). We have many different data sources (CSV's) for our analysis. Some of them need preprocessing at the time of analysis - doing it earlier and saving the resultant table doesn't make sense. My code is getting tangled quickly as I try to read.csv my many data files and source both the preprocessing stuff as well as my analysis code. I'm

Hi there, Is there an implementation of the Gaveh Stehfest algorithm in R somewhere ? Or some other inversion ? Thanks, Tolga

Dear R users, Given a user-defined cumulative distribution function F, I want to compute F^{-1}(x). How is that possible with R? Best Regards, -- Gildas Mazo PhD student MISTIS team at INRIA Grenoble, France [[alternative HTML version deleted]]

Dear all, Recently I am generating large random samples (10M) and any duplicated numbers are not desired. We tried several RNGs in R and found Wichmann-Hill did not produce duplications. The duplication problem is the interesting birthday problem. If there are M possible numbers, randomly draw N numbers from them, the average number of dupilcations D = N(N-1)/2/M. For Knuth-TAOCP and