search for: 240mb

...taining one number, one factor with few levels and one logical column, a 56Mb object. generating it takes 4.5 secs. calling summary() on it takes 2.2 secs. writing it takes 8 secs and an additional 10Mb. saving it in .rda format takes 4 secs. reading it naively takes 28 secs and an additional 240Mb reading it carefully (using nrows, colClasses and comment.char) takes 16 secs and an additional 150Mb (56Mb of which is for the object read in). (The overhead of read.table over scan was about 2 secs, mainly in the conversion back to a factor.) loading from .rda format takes 3.4 secs. [R 2.0.1...

...B/s, which I thought was pretty good. Now, the box has dual 3GHz Xeons (it needs them for the pulsar dedispersion algorithm's FFT's, particularly when we refine it to do dedispersion in real-time). With FC5 installed, and the four 146's running software RAID0, I am getting nearly 240MB/s throughput (with other processes running). The box feels significantly more responsive; the GNUradio build with the PERC running in hardware RAID mode took about thirty minutes; with it running in LSI MPT SCSI mode it's taking half that time to build and install. The reason to run RAID0...

Hello, Does anyone have an up-to-date page describing, step by step, how to make a customized CentOS5 DVD? I noticed that CentOS5 already comes with ~240MB of updates. So for starters, I'd like to create a new DVD with all the current updates. (And I have other custom scripts I need to install on top of that). I've googled around and tried various suggestions on the net: http://sipx-wiki.calivia.com/index.php/A_Kickstart_CD_for_sipX_on_Cen...

...11.5 1.82 2142 ext3-aio (ordered) 2243 (129) 34.3 ( 22.06 / 12.25 ) 11.7 1.9 2162 ext3-aio (journal) 2380 (130) 37.44 ( 25.28 / 12.16 ) 12.2 3.1 2156 raw-aio 10742 (349) 63.97 ( 47.44 / 16.53 ) 7.3 5.4 2191 ocfs-aio 10756 (352) 65.28 ( 47.84 / 17.44 ) 7.2 5 2092 Swap is used for ext2/ext3 (about 240Mb). No swapping for raw and ocfs. All above runs with following parameters: DB: Oracle 9iR2 (9.2.0.3) TPCC Kit: 1000 Warehouse Users: 100 Kernel : e.25 (RHAS2.1) as you can see, ext3 and ext2 are 1/4th to 1/5th of raw/ocfs this is on a big box, 1000 warehouses, thats like what, 500-600gb of data....

...11.5 1.82 2142 ext3-aio (ordered) 2243 (129) 34.3 ( 22.06 / 12.25 ) 11.7 1.9 2162 ext3-aio (journal) 2380 (130) 37.44 ( 25.28 / 12.16 ) 12.2 3.1 2156 raw-aio 10742 (349) 63.97 ( 47.44 / 16.53 ) 7.3 5.4 2191 ocfs-aio 10756 (352) 65.28 ( 47.84 / 17.44 ) 7.2 5 2092 Swap is used for ext2/ext3 (about 240Mb). No swapping for raw and ocfs. All above runs with following parameters: DB: Oracle 9iR2 (9.2.0.3) TPCC Kit: 1000 Warehouse Users: 100 Kernel : e.25 (RHAS2.1) as you can see, ext3 and ext2 are 1/4th to 1/5th of raw/ocfs this is on a big box, 1000 warehouses, thats like what, 500-600gb of data....

Hi all! My system: R 2.1.1, Mac OS X 10.4.2. I have a very memory-consuming job for R, consisting of a function calling some other functions, working often with matrices of size 100.000 x 300. If I call the job directly after starting R the job takes overall 40min, however only 7min of process time. I assume the large difference is through memory-handling which doesn't count as

Dear R users, I have been using a dynamic data extraction from raw files strategy at the moment, but it takes a long long time. In order to save time, I am planning to generate a data set of size 1500 x 20000 with each data point a 9-digit decimal number, in order to save my time. I know R is limited to 2^31-1 and that my data set is not going to exceed this limit. But my laptop only has 2 Gb and

...--Block--- --Seeks--- raid0 MB K/sec %CPU K/sec %CPU K/sec %CPU K/sec %CPU K/sec %CPU /sec %CPU 8 disk 8196 78636 93.0 261804 64.2 125585 25.6 72160 95.3 246172 19.1 286.0 2.0 8 disk 8196 79452 93.9 286292 70.2 129163 26.0 72422 95.5 243628 18.9 302.9 2.1 so ~270MB/sec writes - awesome! 240MB/sec reads though - why would this be LOWER then writes?? -------Sequential Output-------- ---Sequential Input-- --Random-- -Per Char- --Block--- -Rewrite-- -Per Char- --Block--- --Seeks--- mirror MB K/sec %CPU K/sec %CPU K/sec %CPU K/sec %CPU K/sec %CPU /sec %CPU 8 d...

I''ve been thinking about how to make Puppet a killer app, and I think there is one specific thing that could be done to help make that happen: People using Puppet now to consistently state what they *really* wish Puppet could do for them -- the recent thread around Puppet on Windows is in that vein, but it''s not specific enough. For example, I''d like to know what

I've got a i7 with 12 logical cores and 16GB of RAM I successfully built RELEASE_390/final but for the last 100 or so files I'd to use "ninja -j2" so as not to keep from swapping in the best case and and in the worst case the build kills itself without completing because apparently its run out of memory. For the first 3200 files or so it was doing just fine with