search for: cycled

Hello folks, TL;DR: This is my proposed hashing interface based on a proposed standard hashing interface. It also is implemented with a much faster and higher quality algorithm than the current one. This is an *early draft* of the code, looking for initial feedback. There has been recent interest in improving the quality and consistency of LLVM's approach to hashing. In particular, getting

> I will do a run with --merge-strings. This should probably the the > default to match other ELF linkers. Trying --merge-strings with today's trunk I got * comment got 77 797 bytes smaller. * rodata got 9 394 257 bytes smaller. Comparing with gold, comment now has the same size and rodata is 55 021 bytes bigger. Amusingly, merging strings seems to make lld a bit faster. With

I have noticed that when I iterate permutations of short vectors with the same seed, the cycle lengths are much shorter than I would expect by chance. For example: X <- 1:10 Xorig <- X start <- 112358 N <- 10 for (i in 1:N) { seed <- start + i for (j in 1:1000) { # Maximum cycle length to consider set.seed(seed) # Re-seed RNG to same initial state X <- sample(X)

Dear all, I have a data set as follows: ID cycle.number cycle.result 1 2525 1 38 2 2525 2 38 3 2525 3 25 4 2525 4 25 5 2525 5 25 6 2525

Does anybody knows how to make the game run? It installs just fine, but won't run. I have been searching all over the web to find a solution, but not haven't found a single webpage or thread about it?

Hi Boris, Do a search on "the order of elements of the symmetric group". (This search will also turn up homework questions and solutions.) You will understand why you are seeing this once you understand how a permutation is decomposed into cycles and how the order relates to a partition of n (n=10 in your case). Enjoy! Eric On Fri, Dec 8, 2017 at 6:39 AM, Boris Steipe <boris.steipe

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

Is there anything mongrel cluster gives you that monit doesn''t? I''ll be using monit to monitor a number of other services anyways, so it seems logical to just use it for everything including mongrel. Chris

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

Hi llvm-dev, I wonder why there is an extra cycle for getOperandLatency. It doesn't seem intuitive. UseCycle = DefCycle - UseCycle + 1; When I read the comments in TargetItinerary.td, it said OperandCycles are optional "cycle counts". They specify the cycle after instruction issue the values which correspond to specific operand indices are defined or read. I thought if

Hi, I am trying to extract data from a ts object by month, e.g., extract Jan, Feb, and Aug data from a monthly ts object. I tried the following but it didn't work: > xa=1:50 > ta=ts(xa,start=c(1990,1),frequency=12) > ta[cycle(ta)==c(1,2)] # this method works but it's not what I want [1] 1 2 13 14 25 26 37 38 49 50 > ta[cycle(ta)==c(1,2,8)] # this method doesn't work,

Hello all, I am generating large samples of random numbers. The RNG help page says: "All the supplied uniform generators return 32-bit integer values that are converted to doubles, so they take at most 2^32 distinct values and long runs will return duplicated values." But I find that the cycles are not the same as the 32-bit integer. My test indicated that the cycles for

I can''t figure out how to get cycle to work: tr :class=>@helpers.cycle(''odd'', ''even'') do tr :class=>@helpers.cycle(''odd'', ''even'', :name=>''rows'') do tr.@helpers.cycle(''odd'', ''even'') do The first two output only one

Hello all, So, I''ve been using monit with mongrel for a while now, since the 0.3.x days (I think it was). It used to work fine, but now I seem to be having some trouble. I''m currently using mongrel 1.0.1 and I am using the same monit configuration I''ve always been using, yet everytime monit should restart mongrel, I get "Execution failed". For the start

Hi nice people, i am trying to made a double "for" cycle, i wish that for cycle on k activates t times the for cycle on s the first cycle is this: s<-rep(1,10) s [1] 1 1 1 1 1 1 1 1 1 1 > for (n in 2:10) { + s[n]=1+s[n]+rnorm(1,mean=0,sd=1) + } > s [1] 1 4.75 4.86 4.05 4.09 4.56 4.63 4.65 4.12 4.01 now i wish another cycle that activates t times the before cycle gives

Hello, I didn't give enough information when I sent an query before, so I'm trying again with a more detailed explanation: In this data set, each patient has a different number of measured variables (they represent tumors, so some people had 2 tumors, some had 5, etc). The problem I have is that often in later cycles for a patient, tumors that were originally measured are now missing (or

Greetings - I dug around a bit and I couldn''t find a definitive answer to this question, apologies if it''s been covered before. A box running a apache 2.2 -> mongrel cluster for a rails app got power cycled at my ISP. Unfortunately monit couldn''t start the mongrel processes because the pid files were still there. Here is my monit config (for each mongrel process): check process myapp_mongrel_8000 with pidfile /data/wwwroot/myapp.com/ log/mongrel.8000.pid start program = &quo...

Hi all I wish to draw an histogram... with dates but the following append, i don't know where is the problem, help(hist.Date) works and i don't see any usefull information on what i'm doing wrong... > hist.Date(dt_cycles) Error: couldn't find function "hist.Date" > hist.date(dt_cycles) Error: couldn't find function "hist.date" > cycles [1] 7 1

Rafael, This is very good information and extremely useful. On 3/12/2015 11:49 AM, Rafael Espíndola wrote: > I tried benchmarking it on linux by linking clang Release+asserts (but > lld itself with no asserts). The first things I noticed were: > > missing options: > > warning: ignoring unknown argument: --no-add-needed > warning: ignoring unknown argument: -O3 > warning:

Here is the result of running 20 threads on 20 physical cores (40 virtual cores). 19002.081139 task-clock (msec) # 2.147 CPUs utilized ( +- 2.88% ) 23,006 context-switches # 0.001 M/sec ( +- 2.24% ) 1,491 cpu-migrations # 0.078 K/sec ( +- 22.50% ) 2,607,076 page-faults # 0.137 M/sec