similar to: Reading and coalescing many datafiles.

From: Zhang Xiantao <xiantao.zhang@intel.com> With virtual EPT support, L1 hyerpvisor can use EPT hardware for L2 guest''s memory virtualization. In this way, L2 guest''s performance can be improved sharply. According to our testing, some benchmarks can show > 5x performance gain. Signed-off-by: Zhang Xiantao <xiantao.zhang@intel.com> Zhang Xiantao (11):

Hi - a question for all ye rsync guru's out there... I have a need to migrate some fairly large Oracle datafiles from a UFS filesystem to VxFS (VERITAS), however I am not being allowed nearly enough outage time to perform a standard file copy migration. The datafiles (of which there are about 4 are about 50GB each in size and on separate UFS filesystems. I am considering instigating a local

Hello again, I have another question related to parsing a very large xml file with SAX: what kind of data structure should I favor? Unlike using DOM function that can return lists of relevant nodes and let me use various versions of 'apply', the SAX parsing returns me one thing at a time. I first tried to simply append to simple solution of appending to lists as I get the data. But I

Hello everyone, I'm trying to parse a very large XML file using SAX with the XML package (i.e., mainly the xmlEventParsing function). This function takes as an argument a list of other functions (handlers) that will be called to handle particular xml nodes. If when I use Rprof(), all the handler functions are lumped together under the <anonymous> label, and I get something like this:

Hi, I have been enjoying r for some time now, but was wondering about working with larger data files. When I try to load in big files with more than 20,000 records, the programs seems unbable to store all the records. Is there some way that I can increase the size of records that I work with? Ideally I would like to work with census data which can hold a million records. Greg

I need to rsync 4 TB datafiles to remote server and clone to a new oracle database..I have about 40 drives that contains this 4 TB data. I would like to do rsync from a directory level by using --files-from=FILE option. But the problem is what will happen if the network connection fails the whole rsync will fail right. rsync -a srchost:/ / --files-from=dbf-list and dbf-list would contain this:

For a given random variable rv, for instance, rv = rnorm(1000), I plot its density curve and calculate some quantiles: plot(density(rv)) P10P50P90 = = quantile(rv,probs = c(10,50,90)/100) I would like to color the area between P10 and P90 and under the curve and mark the P50 on the curve. > rv = rnorm(1000) > plot(density(rv)) > P10P50P90 = = quantile(rv,probs = c(10,50,90)/100) Could

Hello Luca, Thank you for your response. I?m familiar with speech recognition and TTS, but new to MRCP. Yes, the 100k options is used for names in a directory listing. In the pre-MRCP support, Nuance ASR used API events/methods for the application to tell ASR when the prompt was playing and when it stopped. If ASR detected speech, it would signal an event so we would stop playing the prompt.

Is there any program Asterisk users use to calculate ASR and ACD ?? Thanks for any comments. -------------- next part -------------- An HTML attachment was scrubbed... URL: http://lists.digium.com/pipermail/asterisk-users/attachments/20090910/af1f9656/attachment.htm

Is it correct that the unimrcp is the best approach for Asterisk and ASR/TTS? Could anyone provide pros/cons for the various ASR options for Asterisk? We need the ability for very large grammars (over 100,000 options). Because of this, my initial thought is Nuance or Lumenvox. Does this sound correct? Have a great day! Dan -------------- next part -------------- An HTML attachment was

The data.frame is constructed by one of the following functions: funweek <- function(df) if (length(df$elapsed_time) > 5) { rv = fitdist(df$elapsed_time,"exp") rv$year = df$sale_year[1] rv$sample = df$sale_week[1] rv$granularity = "week" rv } funmonth <- function(df) if (length(df$elapsed_time) > 5) { rv =

Hello, I'm in the early stages of designing an Emergency calling service IVR application. The IVR application asks simple one or two questions like "which is the postal code of the area you are currently calling from ?" "Is the correct ?". The expected values are a 5-digits number like "twenty-five-thousand-two-hundreds-twelve" or

I''m trying to setup RV and cannot get it started. I keep getting: Permission Denied : /var/log/rv.log I''ve tried running it as root to test and also using www-data and chrgrp of rv.log to www-data. Here''s the output: nohup su -c "/usr/bin/ruby rv_harness.rb 3301 127.0.0.1 < /dev/null 2>&1 > /dev/null" www-data < /dev/null 2>&1 >>

Dear R wizards--- I have a wrapper on mclapply() that makes it a little easier for me to do multiprocessing. (Posting this may make life easier for other googlers.) I pass a data frame, a vector that tells me what rows should be recomputed, and the function; and I get back a vector or matrix of answers. d <- data.frame( id=1:6, val=11:16 ) loc <- c(TRUE,TRUE,FALSE,TRUE,FALSE,TRUE)

--- generator/generator.ml | 2 +- 1 files changed, 1 insertions(+), 1 deletions(-) diff --git a/generator/generator.ml b/generator/generator.ml index 31478cd..de911f1 100755 --- a/generator/generator.ml +++ b/generator/generator.ml @@ -1771,7 +1771,7 @@ static void raise_closed (const char *) Noreturn; pr " rv = copy_type_value (r, len, t);\n"; pr "

Hello, All of the Opus quality studies that I've seen focused on human-perceived quality. I'm interested to know of any experience with machined "perceived" quality, particularly related to speech recognition or biometrics. I'm also interested in folks thoughts on optimizing Opus for ASR. For example, removing certain classes of comfort noise, filtering non-speech bands,

I am working with xts dependent data, and my code is as follows (the problem is explained throughout): dat <- getdat("prices") dat <- read.zoo(dat, sep = "",format="%d/%m/%Y %H:%M", tz="", FUN=NULL, regular=TRUE, header=TRUE, index.column=1, colClasses=c("character", "numeric")) dat <- as.xts(dat)

Hey Guys, Below is a patch for the com32/rosh/rosh.c from tonights syslinx git. The patch does the following: 1) changes the rosh_issp to use an if instead of a case for this simple test. 2) changes the rosh_dir_arg function to move the readdir() to inside the while test. This will let me go through my APUE book. Let me know if you have any questions. Keith --- rosh.orig 2009-03-05

On Wed, May 15, 2019 at 10:57:58PM -0500, Eric Blake wrote: > +static int > +can_cache_wrapper (void *h) > +{ > + CAMLparam0 (); > + CAMLlocal1 (rv); > + > + caml_leave_blocking_section (); > + > + rv = caml_callback_exn (can_cache_fn, *(value *) h); > + if (Is_exception_result (rv)) { > + nbdkit_error ("%s", caml_format_exception

I feel dirty. I have some graphs I'm building to communicate chargeback rates and service usage for our backup system here at the University of Florida. These come down to daily data points on a graph of number-of-bytes transferred and stored. Since we chargeback on the same basis (price per MB this, price per KB that) the same chart with a different scale can be used to communicate bytes