search for: cycles

...ent 4 - 0.279 bytes/cycle - 603.65 MiB/sec @ 2.268 ghz Alignment 5 - 0.279 bytes/cycle - 603.65 MiB/sec @ 2.268 ghz Alignment 6 - 0.279 bytes/cycle - 603.65 MiB/sec @ 2.268 ghz Alignment 7 - 0.279 bytes/cycle - 603.65 MiB/sec @ 2.268 ghz Small key speed test - 1-byte keys - 2.50 cycles/hash 1.10 nanos/hash Small key speed test - 2-byte keys - 4.77 cycles/hash 2.10 nanos/hash Small key speed test - 3-byte keys - 7.79 cycles/hash 3.43 nanos/hash Small key speed test - 4-byte keys - 7.78 cycles/hash 3.43 nanos/hash Small key speed test - 5...

...0.999 CPUs utilized ( +- 0.07% ) 1,152 context-switches # 0.580 K/sec 0 cpu-migrations # 0.000 K/sec ( +-100.00% ) 199,309 page-faults # 0.100 M/sec 5,970,383,833 cycles # 3.007 GHz ( +- 0.07% ) 3,413,740,580 stalled-cycles-frontend # 57.18% frontend cycles idle ( +- 0.12% ) <not supported> stalled-cycles-backend 6,240,156,987 instructions # 1.05 insns per cycle...

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 at utoronto.ca> wrote: > I have noticed that when I iterate permutations of short vectors with the > same seed, the cycle lengths are much shorte...

...d decide to dispatch it on Port5. This (I believe) explains the following reported timings on a basic block which consists of a single instruction with no dependencies and a small NumMicroOps (i.e., only bottlenecked by resource availability), where I have tried out different port maps and ResourceCycles (all of these are for 100 iterations): • When the resource mapping is: { HWPort0: 2 cycles, HWPort01: 2 cycles }, the instruction has a Total Cycles of 200, because the round-robin scheduler always assigns the HWPort01 resource to execute on HWPort1, so each iteration requires 2 cycles total. • Wh...

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 simulation. > > Rthroughput (from the "Instruction Info" view) is the reciprocal of the > instruction throughput. > Throughput is computed as the maximum number of instructions of a same...

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 an instruction reads the operands at the first cycle and produces the result at the second cycle. InstrItinData shoul...

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,

...lo 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 Knuth's methods were 2^30 while Wichmann-Hill's cycle was larger than 2^32! No numbers were duplicated in 10M numbers generated by runif using Wichmann-Hill. The other three methods had cycle length of 2^32....

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

...0.1 -c /home/admin/webapps/gohuman/current -P log/mongrel.8000.pid''" stop program = "/usr/bin/su admin -c ''/usr/local/bin/mongrel_rails stop -c /home/admin/webapps/gohuman/current -P log/mongrel.8000.pid''" if totalmem is greater than 80.0 MB for 5 cycles then alert # eating up memory? if cpu is greater than 50% for 2 cycles then alert # send an email to admin if cpu is greater than 80% for 3 cycles then restart # hung process? if loadavg(5min) greater than 10 for 8 cycles then restart # bad, bad, bad if 3 restarts within 5 cycle...

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

...ive 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 a "new" tumor showed up). We assume there are many different reasons for why a tumor would be measured in one cycle and not another, and so I want to subset OUT the "problem" patients to better study these p...

...ongrel --group mongrel" stop program = "/usr/bin/mongrel_rails stop -P log/mongrel. 8000.pid -c /data/wwwroot/myapp.com" if failed host 127.0.0.1 port 8000 protocol http and request "/" then alert if cpu is greater than 60% for 2 cycles then alert if cpu > 80% for 5 cycles then restart if loadavg(5min) greater than 10 for 8 cycles then restart if 3 restarts within 5 cycles then timeout Is there some other command line switch I can add to avoid this problem? Should I config monit to clear the .pid...

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 2 5 14 5 > dt_cycles dates_releves cycles 1 2005-07-01 7 2 2005-07-04 1 3 2005-07-06 2 4 2005-07-11...

...1,152 context-switches # 0.587 K/sec > 0 cpu-migrations # 0.000 K/sec > ( +-100.00% ) > 199,310 page-faults # 0.102 M/sec > ( +- 0.00% ) > 5,893,291,145 cycles # 3.004 GHz > ( +- 0.03% ) > 3,329,741,079 stalled-cycles-frontend # 56.50% frontend > cycles idle ( +- 0.05% ) > <not supported> stalled-cycles-backend > 6,255,727,902 instructions #...

....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 ( +- 0.83% ) 56,818,049,785 cycles # 2.990 GHz ( +- 2.54% ) 41,072,435,357 stalled-cycles-frontend # 72.29% frontend cycles idle ( +- 3.36% ) <not supported> stalled-cycles-backend 41,090,608,917 instructions # 0.72 insns per cycle...