similar to: [PATCH 0/5] btrfs: lz4/lz4hc compression

Hi, so here it is, LZ4 compression method inside btrfs. The patchset is based on top of current Chris'' for-linus + Andi''s snappy implementation + the fixes from Li Zefan. Passes xfstests and stresstests. I haven''t measured performance on wide range of hardware or workloads, rather wanted to publish the patches before I get distracted again. I''d like to ask

Linux 3.11 added respective support, so I think we should follow suit. 1: xen: add LZ4 decompression support 2: libxc: add LZ4 decompression support Signed-off-by: Jan Beulich <jbeulich@suse.com>

I am trying to generate a plot whose x-axis values are the following: data_out[,1] [1] 1979 1958 1937 1916 1895 1874 1853 1832 1811 1790 1769 1748 1727 1706 1685 1664 1643 1622 1601 1580 1559 [22] 1538 1517 1496 1475 1454 1433 1412 1391 1370 1349 1328 1307 1286 1265 1244 1223 1202 1181 1160 1139 1118 [43] 1097 1076 1055 1034 1013 992 971 950 929 908 887 866 845 824 803 782 761

Dear useRs, Thanks for any advices # I do not know where are the examples how to mark groups # based on signal occurence in the additional variable: cf. variable c2, # How to calculate different calculations for groups defined by (split by occurence of c2 characteristic data) #First example of simple data #mexample 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

Dear R-users, Attach with is my data..what i want to do is finding a suitable distribution for my data..I want to run a few test like the poisson and the exponential distribution. Please help me on how to find the p-value for poisson as well as the exponential distribution without knowing the parameter. Is it possible?? Thanks in advance. love, Anisah -------------- next

Dear all, I am a biologist. I have two sets of distance P(start1, end1) and Q(start2, end2). The distance will be like this. P ------------------------ Q ---------------------------------------- I want to know whether P falls closely to the right end or left end of Q. P and Q are of different lengths for each data point. There are more than 10000 pairs of P and Q. Is there any test or

2. update ZFS in libfsimage from illumos for pygrub diff -r 7c12aaa128e3 -r c2e11847cac0 tools/libfsimage/Rules.mk --- a/tools/libfsimage/Rules.mk Thu Oct 24 22:46:20 2013 +0100 +++ b/tools/libfsimage/Rules.mk Sat Oct 26 20:03:06 2013 +0400 @@ -2,11 +2,19 @@ include $(XEN_ROOT)/tools/Rules.mk CFLAGS += -Wno-unknown-pragmas -I$(XEN_ROOT)/tools/libfsimage/common/

>> Oh, I was reading "precedes/following" as having static (dominance) >> meaning. That is, in the above example you could not delete the store >> since it is not true that >> llvm.lifetime.end dominates it. >> >> Nick, is this what you had in mind? If not, then we must delete a >> matching llvm.lifetime.end, but it is not clear how we define

> Suppose you have four lifetime operations on the same address in memory, > with loads and stores all around them: > > start1--end1 .. start2--end2 > > If you remove start1 then you have a bare pointer, the memory came from > somewhere and you lose the optimization that loads before start1 become > undef, but you don't miscompile. This is assuming no looping after

Dear R-users I am using RPART package to get regression trees. However having trouble getting the text function to put the full splitting rule number on the plot, instead to puts it in scientific notation. When a covariate has 1e4 or greater number of digits then the splitting rule number displayed on the plot is in scientific notation. But print.rpart displays the splitting rules in full.

- Add incompat flag, otherwise btrfs-progs will report error when operating on btrfs filesystems mounted with lzo option. - Allow to turn on lzo compression for defrag operation: # btrfs filesystem defragment -c[zlib, lzo] <file> Note: "-c zlib" will fail, because that''s how getopt() works for optional arguments. Signed-off-by: Li Zefan

On 12/27/2012 12:35 PM, Rafael Espíndola wrote: >>> Oh, I was reading "precedes/following" as having static (dominance) >>> meaning. That is, in the above example you could not delete the store >>> since it is not true that >>> llvm.lifetime.end dominates it. >>> >>> Nick, is this what you had in mind? If not, then we must delete a

Hi, I want to retrieve the variable names used in a statement, I tried the following snippet, but it only gives me the variable named in llvm bitcode. I need the variable name in source code. for (auto op = I.op_begin(); op != I.op_end(); op++) { Value* v = op->get(); StringRef name = v->getName(); } Is there specific documentation I can

I''ve been working on running down intermittent ENOSPC issues. I can only seem to replicate ENOSPC errors when running zlib compression. However, I have been seeing similar ENOSPC errors to a lesser extent when playing with the LZ4HC patches. I apologize for not following up on this sooner, but I had drifted away from using zlib, and didn''t notice there was still an issue. My

Hi, I'm a novice with levelplot and need some assistance! Basically, I want a window which contains 6 levelplots of equal size presented in 3 columns and 2 rows. I've tried to approach it two ways. The first way leads to this question: Is there any way to concatenate levelplots from a factor vertically as opposed to horizontally? I'd like to pair the levelplots by factor.2 on

Dear friends, This is the dataset I am currently working with: >dput(mod14data2_random) structure(list(index = c(14L, 27L, 37L, 33L, 34L, 16L, 7L, 1L, 39L, 36L, 40L, 19L, 28L, 38L, 32L), y = c(0.44, 0.4, 0.4, 0.4, 0.4, 0.43, 0.46, 0.49, 0.41, 0.41, 0.38, 0.42, 0.41, 0.4, 0.4 ), x = c(16, 24, 32, 30, 30, 16, 12, 8, 36, 32, 36, 20, 26, 34, 28)), row.names = c(NA, -15L), class =

Dear Bert, Thank you so much for your kind and valuable feedback. I tried finding the starting values using the approach you mentioned, then did the following to fit the nonlinear regression model: nlregmod2 <- nls(y ~ theta1 - theta2*exp(-theta3*x), start = list(theta1 = 0.37, theta2 = exp(-1.8), theta3 =

Hello, Darik Horn sent a pull request adding support for LZ4. LZ4 is supposed to be a very fast compression algorithm, especially when it comes to decompression. I did a quick benchmark with zlib, LZO and LZ4. Now, there are many benchmarks you can find online, but most of them deal with compressing large files. Tinc on the other hand has to compress small packets individually. So I did the

Hello All, My question is regarding the attached plot. I would like to have multiple transparent green bands running the length (yaxis) of the plot the width of which is determined by the green lines at y=0 in the plot. Can you suggest a way to do it? For those who can't or are unwilling to download the file the plot is at http://www.twitpic.com/ma8w0 Thanks!

The rule originally comes from nocow writing, but snapshot-aware defrag is a different case, the extent has been writen and we''re not going to change the extent but add a reference on the data. So we''re able to allow such compressed extents to be merged into one bigger extent if they''re pointing to the same data. Signed-off-by: Liu Bo <bo.li.liu@oracle.com> ---