similar to: [LLVMdev] [Fwd: Optimization: Conclusions from Evolutionary Analysis]

This is a hot topic in the compiler research community, but the focus there is on (a) choosing the right optimization sequences internally and transparently, rather than through combinations of options, (b) performance prediction techniques so you don't actually have to run gazillion different choices, and perhaps can even avoid the problem of choosing representative inputs, as you talked

On Tue, 2003-11-18 at 15:11, Vikram Adve wrote: > This is a hot topic in the compiler research community, but the focus > there is on > (a) choosing the right optimization sequences internally and > transparently, rather than through combinations of options, > (b) performance prediction techniques so you don't actually have to run > gazillion different choices, and perhaps

Has anyone tried acovea on llvm, acovea is a fairly popular software package that uses GAs(Genetic Algorithms) to tune compiler command-line settings to optimize the performance for a given application. It works with gcc for sure.

I think it is still be hosted on some bzr servers. Thanks Xin On Thu, Jan 5, 2012 at 12:20 PM, Hal Finkel <hfinkel at anl.gov> wrote: > Is acovea still being distributed? The link that I was able to find > (http://www.coyotegulch.com/products/acovea/) is no longer valid. > >  -Hal > > On Thu, 2012-01-05 at 12:06 -0500, Xin Tong wrote: >> Has anyone tried acovea on

Is acovea still being distributed? The link that I was able to find (http://www.coyotegulch.com/products/acovea/) is no longer valid. -Hal On Thu, 2012-01-05 at 12:06 -0500, Xin Tong wrote: > Has anyone tried acovea on llvm, acovea is a fairly popular software > package that uses GAs(Genetic Algorithms) to tune compiler > command-line settings to optimize the performance for a given

Scott Robert Ladd has realized an analysis of GNU C and C++ optimizations, using a genetic algorithm to discover the most effective optimization flags for different algorithms. Check it out: http://www.coyotegulch.com/acovea/index.html AMD Optimized Windows XviD codec: http://net314.myphone.gr/xvid_amd.html Happy coding ! <p>>>Forward Agency In progress we (always) trust.

Dear R Users, I compiled two R-1.9.1 environments on IBM P690 AIX platform, one with optimization level 3(-O3), another with optimization level 2(-O). I would like to do some performance comparison with these two environments. Can anybody give me some advices for how to do the performance test against R? Thanks in advance. Kexiao

FYI, Yesterday's Slashdot had an article about Linux compiler benchmarks from Coyote Gulch (Scott Ladd). In this update he compares GCC and ICC. You can read the article here: http://www.coyotegulch.com/reviews/linux_compilers/ Of particular note was his use of SciMark 2.0 which is a NIST developed benchmark for scientific computing. Its available in both java and C and computes a MFLOPS

Reid Spencer wrote: > FYI, > > Yesterday's Slashdot had an article about Linux compiler benchmarks from > Coyote Gulch (Scott Ladd). In this update he compares GCC and ICC. You > can read the article here: > http://www.coyotegulch.com/reviews/linux_compilers/ > > Of particular note was his use of SciMark 2.0 which is a NIST developed > benchmark for scientific

On Jul 6, 2010, at 5:04 PM, Manuel Llosa wrote: > Dear Kenneth, I see. Do you plan sharing your framework in open source? > For now, I will continue using ctuning tools (they support LLVM as is but not > some specific things on JIT dynamic recompilation what is my thesis about). > I will like to compare all tools of course and will be happy > to share results although real not

Dear All, A 1-year postdoctoral position in Computational Biology/Bioinformatics/Evol. Biology/Statistics is available in Madrid, Spain. Brief description: Simulation and analysis of evolutionary processes in cancer. Requirements: - Postdoc younger than 30 years. - Be registered as resident ("estar empadronado") in Madrid, Spain, since 08-August-2016. - Be registed in the

Hello, I was trying to compare the performance of icc, gcc and llvm on the program almabench.c in Coyote Benchmark suite. Here is a line of code from the program. da = da + (ca[np][k] * cos(arga) + sa[np][k] * sin(arga)) * 0.0000001; gcc and icc are performing way better than llvm as they are using 'sincos' library function to compute the sin and the cos of the argument in a

Greetings, I am a new user of R for Windows, and I'd like to ask about any R or S-Plus routine that can compute the evolutionary spectrum of a time series. Any help or pointers are greatly appreciated. Apologies in advance if this has already been mentioned on the list. Regards, Franco ------------------------------------------------------------------------ Franco Biondi

Hi I'm quite new to this area a bit but I'm wondering if there is any implementation of multi-objective optimization using evolutionary approach available in R? Any point to reference would be really appreciated. Thank you. - adschai

Hi, Sorry for the late report but I've only just found these issues. Llvm.org isn't working for me at the moment but I'll file tickets once it is. The issues are: 1. Almabench has some significant numerical differences and fails the reference check for some configs. I'm investigating this one at the moment but early indications are that it's a similar (but different)

Dear testers, 3.7.0-rc2 was just tagged. Please test, build binaries, upload to the sftp, and report results to this thread. A lot of fixes have been applied since rc1, both to the build script and the code in general, so hopefully it will be less bumpy this time. >From this point, I will no longer accept merge requests to finish existing features; it's now bug-fixes only. Thanks again

Hi Suresh, > I was trying to compare the performance of icc, gcc and llvm on the > program almabench.c in Coyote Benchmark suite. Here is a line of code > from the program. > > > da = da + (ca[np][k] * cos(arga) + sa[np][k] * sin(arga)) * 0.0000001; > > gcc and icc are performing way better than llvm as they are using > 'sincos' library function to

I believe I've identified the problem with almabench but I haven't found the root cause in the compiler yet. The problem is that a caller saved register ($f14) is being moved across a call and this call sometimes clobbers the value. As a result, the value of the TWOPI constant used in the fmod() calls isn't always 2*PI. According to -print-after-all, the pass that moves the

To reduce memory consumption clobbered registers are handled with RegisterMask machine operands which contain a bitset of all registers clobbered. - Matthias > On Jul 29, 2015, at 3:00 PM, Daniel Sanders <daniel.sanders at imgtec.com> wrote: > > I believe I've identified the problem with almabench but I haven't found the root cause in the compiler yet. > > The

Hi Bob, are these performance regressions real? They look pretty serious. Ciao, Duncan. On 10/12/11 09:40, llvm-testresults at cs.uiuc.edu wrote: > > bwilson__llvm-gcc_PROD__i386 nightly tester results > > URL http://llvm.org/perf/db_default/simple/nts/332/ > Nickname bwilson__llvm-gcc_PROD__i386:4 > Name curlew.apple.com > > Run ID Order Start Time End Time >