similar to: how to efficiently compute set unique?

Hi, I have been a matlab user and is learning R. I want to convert a large list of strings to a list of unique numeric ids to reduce storage space. For example, there is a string list (there are duplicates) ABCDDDD ACCDEDF ACCGEDF ACCGEGF ..... ACCDEDF ACCGEGF and I want to have a corresponding numeric id list 1 2 3 4 .... 2 4 In matlab, the 'unique' function can do this in

hi, all: i want to add a function in xen. in the function i need to call the "printk" to display the values of some variables. i found the definition of printk() in file "xen-3.1.0-src\xen\include\xen\lib.h ": extern void printk(const char *format, ...) __attribute__ ((format (printf, 1, 2))); who can tell me the location of printk()? thanks in advance. 2008-04-26

> ----- Original Message ----- >> Hi all, >> My recent commit r187027 fixed a simple oversight of forgetting to >> check for __ppc__ (only checking __powerpc__), which broke my >> powerpc-apple-darwin8 stage1 tests, since the system gcc only >> provided >> __ppc__. I was wondering if this justifies using simpler macros like >> >> #define

Hi, Thanks for the quick reply again. > On Thu, Dec 15, 2011 at 1:17 PM, David Fang <fang at csl.cornell.edu> wrote: >> Hi, >> >> I've bootstrapped llvm/clang from svn-trunk on powerpc-darwin8 (g++-4.0.1), and >> have the following test results to share. >> Summary below, full log at: >>

Hi, > ----- Original Message ----- >>> ----- Original Message ----- >>>> Hi all, >>>> My recent commit r187027 fixed a simple oversight of forgetting >>>> to >>>> check for __ppc__ (only checking __powerpc__), which broke my >>>> powerpc-apple-darwin8 stage1 tests, since the system gcc only >>>> provided

----- Original Message ----- > > ----- Original Message ----- > >> Hi all, > >> My recent commit r187027 fixed a simple oversight of forgetting > >> to > >> check for __ppc__ (only checking __powerpc__), which broke my > >> powerpc-apple-darwin8 stage1 tests, since the system gcc only > >> provided > >> __ppc__. I was

Hi, For anyone who might be interested, I've thrown together a little page to track my builds of llvm and clang, both release 3.0 and svn-trunk, on powerpc-darwin8. http://www.csl.cornell.edu/~fang/sw/llvm/ I'll update the list of logs each time I svn-update and build. It's nowhere as nice as a real buildbot page, but it's better than nothing. 3.0 still has over 20 test

Hello Tobias, Thank you for the suggestion! Aditya also mentioned this. I will look into it. Best regards, Ruijie Ruijie Fang Email: ruijief at princeton.edu On Tue, Jun 2, 2020 at 12:48 PM Tobias Hieta <tobias at plexapp.com> wrote: > Hello Ruijie, > > One other workload that would be interesting to test might be clang > itself. Building clang with PGO information is a

>> These results have far fewer failures than svn-trunk, and are also >> comparable to bootstrapping with gcc-4.6.2, summarized here: >> http://paste.lisp.org/display/126363 >> (Unfortunately, I no longer have the whole build/test log for the gcc46 bootstrap.) >> This consistency between different bootstraps of the release gives me >> some hope that g++-4.0.1 is

18.01.2012, 02:46, "David Fang" <fang at csl.cornell.edu>: > Hi, >          For anyone who might be interested, I've thrown together a little > page to track my builds of llvm and clang, both release 3.0 and > svn-trunk, on powerpc-darwin8. > > http://www.csl.cornell.edu/~fang/sw/llvm/ > > I'll update the list of logs each time I svn-update and

Hi all, My recent commit r187027 fixed a simple oversight of forgetting to check for __ppc__ (only checking __powerpc__), which broke my powerpc-apple-darwin8 stage1 tests, since the system gcc only provided __ppc__. I was wondering if this justifies using simpler macros like #define LLVM_PPC (defined(__ppc__) || defined(__powerpc__) ...) #define LLVM_PPC64 (defined(__ppc64__) ||

On Wed, Jan 18, 2012 at 10:51:38PM +0400, Konstantin Tokarev wrote: > > > 18.01.2012, 02:46, "David Fang" <fang at csl.cornell.edu>: > > Hi, > > ?????????For anyone who might be interested, I've thrown together a little > > page to track my builds of llvm and clang, both release 3.0 and > > svn-trunk, on powerpc-darwin8. > > > >

On Thu, Dec 15, 2011 at 1:17 PM, David Fang <fang at csl.cornell.edu> wrote: > Hi, > > I've bootstrapped llvm/clang from svn-trunk on powerpc-darwin8 (g++-4.0.1), and > have the following test results to share. > Summary below, full log at: > http://www.csl.cornell.edu/~fang/sw/llvm/r146586-powerpc-darwin8-results.txt > > The only edits required were those I

Hi, I try to use lm to fit a linear model with 600k rows and 70 attributes. But I can't even load the data into the R environment. The error message says the vector memory is used up. Is there anyone having experience with large datasets in R? (I bet) Please advise. thanks, Yun-Fang [[alternative HTML version deleted]]

Hi Teresa, Thank you for your reply! I discussed this with Aditya and Rodrigo today about this. We will always have PGO turned on for our benchmark, (i.e. we assume the profiling information is always available). In terms of the workload we supply to PGO: For postgresql, I suggested we use the "pgbench" benchmark, a TPC-B-based SQL benchmark for postgres, to supply profiling information

All Is there an R command to produce error bars around a plotted point. Crawley's book uses the command error.bar() but my version of R rejects it. Must be an S+ command(?). Thanks REX [[alternative HTML version deleted]]

Hello, In my study, mixed effects model is required and the number of fixed effects is very large. When lme package is employed, a model error is displayed once the number of fixed factors in the formula reaches 200. Is this the maximum number of fixed factors can be handled by lme package? If not, what is possible reason of the error message? Thanks Yongxiang

Hello, I am Ruijie Fang, a GSoC student working on "Improve hot cold splitting to aggressively outline small blocks." Over the course of last week, I met with my mentor and co-mentor, Aditya Kumar, and Rodrigo Rocha, and we made a preliminary plan on improving the existing hot/cold splitting pass in LLVM through identifying patterns of cold blocks in real-world workloads via block

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact

Dear all, I have several questions regarding fisher.test() in R, and I'd highly appreciate any help with it. I have a group of observations, each having people's income, and an indicator of whether selected in or out a program. I want to test the difference between income of people who are in and out. Because the distribution is far from normal, I decide to use the fisher's exact