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• Lightest way to run Google Hangouts Chrome app on Mac

  - by jadengore

  I recently transitioned to Safari because I'm really tired of how Chrome hogs memory and drains my battery like crazy. The only thing that has been keeping the Chrome icon open is the Hangouts plugin. Basically, I am looking for the lightest way to run Hangouts on my Mac. By light, I mean the least amount of RAM usage, and preferably a way to do it without Chrome open/light version of Chrome that only opens extensions. Any suggestions? EDIT: Another thing I noticed was that Hangouts ignores your default browser if links are sent to you by chat, and when clicked they open in Chrome. My question doesn't relate to this at all, but I found it interesting...

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• Can I extend my total RAM by buying more, and what kind do I need to buy

  - by Xeon06

  I currently have 4 GB total RAM and I would like to get some more, to bring it to a total of 8 GB. Is it possible to simply buy another 4 GB and bring it to 8? If so, what kind should I be buying? There is a lot of different possibilities, DDR3, DDR2, clock speed, etc. I am kind of lost among all this. My current setup goes like this: ACER EG43M mainboard Intel(R) Core(TM)2 Quad CPU Q8200 @ 2.33GHz 4 total RAM slots, 2 occupied by 2 GB sticks According to CPU-Z, my memory type is DDR3 (not sure how reliable that is) Full CPU-Z dump Windows 7 64-bit So basically, I want to know whether it's possible to extend my current RAM to get 8 GB total by buying another 4, and if so, what kind of RAM do I need? Note that I am not looking for shopping recommendations. I'm worried about the hardware compatibility.

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• Understanding RAM usage on Linux

  - by stebbo

  I'm completely new to Linux and I'm just trying to understand where all my RAM is going. I've got a pretty fresh install of Xubuntu running as a VMWare guest, and I've given it 1.5GB RAM to play with. After only running two apps starting up Tomcat servers and also running Firefox, I've got hardly anything left. 160MB according to free -m. Looking at the output from Top, I see Java appearing twice, each stealing about 1/2 Gig resident memory. Both Tomcat instances use the same jdk, I would have thought I'd only see Java there once. What's the story? I had a screenshot but unfortunately couldn't post it being under 10 rep. Update The free -m output requested: total used free shared buffers cached Mem: 1419 1380 39 0 8 111 -/+ buffers/cache: 1259 160 Swap: 509 68 441 Top (coming)

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• Windows 8 Task Manager RAM Usage Accuracy

  - by user264892

  The new Task Manager has a great UI in windows 8, however, there are some discrepancies in the data I can not account for: Machine: 8 GB of total ram. (This is a physical machine, not a virtual) The processes tab shows 45% of Memory utilized. The listed process do not add up to 3.5 GB of RAM, but instead add up to 0.948 GB. There is no "processes for all users" option. The performance Tab Shows: In use : 3.6 GB Available: 4.4 GB Committed : 4.1 /9.2 GB Cached: 3.7 GB Paged Pool: 376 MB Non-paged pool: 135 MB My reading of this says I have ALOT of "cloaked" processes running some where eating my ram. How do I interpret this data and how do I verify it?

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• High Linux loads on low CPU/memory usage

  - by user13323

  Hi. I have quite strange situation, where my CentOS 5.5 box loads are high, but the CPU and memory used are pretty low: top - 20:41:38 up 42 days, 6:14, 2 users, load average: 19.79, 21.25, 18.87 Tasks: 254 total, 1 running, 253 sleeping, 0 stopped, 0 zombie Cpu(s): 3.8%us, 0.3%sy, 0.1%ni, 95.0%id, 0.6%wa, 0.0%hi, 0.1%si, 0.0%st Mem: 4035284k total, 4008084k used, 27200k free, 38748k buffers Swap: 4208928k total, 242576k used, 3966352k free, 1465008k cached free -mt total used free shared buffers cached Mem: 3940 3910 29 0 37 1427 -/+ buffers/cache: 2445 1495 Swap: 4110 236 3873 Total: 8050 4147 3903 Iostat also shows good results: avg-cpu: %user %nice %system %iowait %steal %idle 3.83 0.13 0.41 0.58 0.00 95.05 Here is the ps aux output: USER PID %CPU %MEM VSZ RSS TTY STAT START TIME COMMAND root 1 0.0 0.0 10348 80 ? Ss 2010 2:11 init [3] root 2 0.0 0.0 0 0 ? S< 2010 0:00 [migration/0] root 3 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/0] root 4 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/0] root 5 0.0 0.0 0 0 ? S< 2010 0:02 [migration/1] root 6 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/1] root 7 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/1] root 8 0.0 0.0 0 0 ? S< 2010 0:02 [migration/2] root 9 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/2] root 10 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/2] root 11 0.0 0.0 0 0 ? S< 2010 0:02 [migration/3] root 12 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/3] root 13 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/3] root 14 0.0 0.0 0 0 ? S< 2010 0:03 [migration/4] root 15 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/4] root 16 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/4] root 17 0.0 0.0 0 0 ? S< 2010 0:01 [migration/5] root 18 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/5] root 19 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/5] root 20 0.0 0.0 0 0 ? S< 2010 0:11 [migration/6] root 21 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/6] root 22 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/6] root 23 0.0 0.0 0 0 ? S< 2010 0:01 [migration/7] root 24 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/7] root 25 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/7] root 26 0.0 0.0 0 0 ? S< 2010 0:00 [migration/8] root 27 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/8] root 28 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/8] root 29 0.0 0.0 0 0 ? S< 2010 0:00 [migration/9] root 30 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/9] root 31 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/9] root 32 0.0 0.0 0 0 ? S< 2010 0:08 [migration/10] root 33 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/10] root 34 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/10] root 35 0.0 0.0 0 0 ? S< 2010 0:05 [migration/11] root 36 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/11] root 37 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/11] root 38 0.0 0.0 0 0 ? S< 2010 0:02 [migration/12] root 39 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/12] root 40 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/12] root 41 0.0 0.0 0 0 ? S< 2010 0:14 [migration/13] root 42 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/13] root 43 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/13] root 44 0.0 0.0 0 0 ? S< 2010 0:04 [migration/14] root 45 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/14] root 46 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/14] root 47 0.0 0.0 0 0 ? S< 2010 0:01 [migration/15] root 48 0.0 0.0 0 0 ? SN 2010 0:00 [ksoftirqd/15] root 49 0.0 0.0 0 0 ? S< 2010 0:00 [watchdog/15] root 50 0.0 0.0 0 0 ? S< 2010 0:00 [events/0] root 51 0.0 0.0 0 0 ? S< 2010 0:00 [events/1] root 52 0.0 0.0 0 0 ? S< 2010 0:00 [events/2] root 53 0.0 0.0 0 0 ? S< 2010 0:00 [events/3] root 54 0.0 0.0 0 0 ? S< 2010 0:00 [events/4] root 55 0.0 0.0 0 0 ? S< 2010 0:00 [events/5] root 56 0.0 0.0 0 0 ? S< 2010 0:00 [events/6] root 57 0.0 0.0 0 0 ? S< 2010 0:00 [events/7] root 58 0.0 0.0 0 0 ? S< 2010 0:00 [events/8] root 59 0.0 0.0 0 0 ? S< 2010 0:00 [events/9] root 60 0.0 0.0 0 0 ? S< 2010 0:00 [events/10] root 61 0.0 0.0 0 0 ? S< 2010 0:00 [events/11] root 62 0.0 0.0 0 0 ? S< 2010 0:00 [events/12] root 63 0.0 0.0 0 0 ? S< 2010 0:00 [events/13] root 64 0.0 0.0 0 0 ? S< 2010 0:00 [events/14] root 65 0.0 0.0 0 0 ? S< 2010 0:00 [events/15] root 66 0.0 0.0 0 0 ? S< 2010 0:00 [khelper] root 107 0.0 0.0 0 0 ? S< 2010 0:00 [kthread] root 126 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/0] root 127 0.0 0.0 0 0 ? S< 2010 0:03 [kblockd/1] root 128 0.0 0.0 0 0 ? S< 2010 0:01 [kblockd/2] root 129 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/3] root 130 0.0 0.0 0 0 ? S< 2010 0:05 [kblockd/4] root 131 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/5] root 132 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/6] root 133 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/7] root 134 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/8] root 135 0.0 0.0 0 0 ? S< 2010 0:02 [kblockd/9] root 136 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/10] root 137 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/11] root 138 0.0 0.0 0 0 ? S< 2010 0:04 [kblockd/12] root 139 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/13] root 140 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/14] root 141 0.0 0.0 0 0 ? S< 2010 0:00 [kblockd/15] root 142 0.0 0.0 0 0 ? S< 2010 0:00 [kacpid] root 281 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/0] root 282 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/1] root 283 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/2] root 284 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/3] root 285 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/4] root 286 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/5] root 287 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/6] root 288 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/7] root 289 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/8] root 290 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/9] root 291 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/10] root 292 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/11] root 293 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/12] root 294 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/13] root 295 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/14] root 296 0.0 0.0 0 0 ? S< 2010 0:00 [cqueue/15] root 299 0.0 0.0 0 0 ? S< 2010 0:00 [khubd] root 301 0.0 0.0 0 0 ? S< 2010 0:00 [kseriod] root 490 0.0 0.0 0 0 ? S 2010 0:00 [khungtaskd] root 493 0.1 0.0 0 0 ? S< 2010 94:48 [kswapd1] root 494 0.0 0.0 0 0 ? S< 2010 0:00 [aio/0] root 495 0.0 0.0 0 0 ? S< 2010 0:00 [aio/1] root 496 0.0 0.0 0 0 ? S< 2010 0:00 [aio/2] root 497 0.0 0.0 0 0 ? S< 2010 0:00 [aio/3] root 498 0.0 0.0 0 0 ? S< 2010 0:00 [aio/4] root 499 0.0 0.0 0 0 ? S< 2010 0:00 [aio/5] root 500 0.0 0.0 0 0 ? S< 2010 0:00 [aio/6] root 501 0.0 0.0 0 0 ? S< 2010 0:00 [aio/7] root 502 0.0 0.0 0 0 ? S< 2010 0:00 [aio/8] root 503 0.0 0.0 0 0 ? S< 2010 0:00 [aio/9] root 504 0.0 0.0 0 0 ? S< 2010 0:00 [aio/10] root 505 0.0 0.0 0 0 ? S< 2010 0:00 [aio/11] root 506 0.0 0.0 0 0 ? S< 2010 0:00 [aio/12] root 507 0.0 0.0 0 0 ? S< 2010 0:00 [aio/13] root 508 0.0 0.0 0 0 ? S< 2010 0:00 [aio/14] root 509 0.0 0.0 0 0 ? S< 2010 0:00 [aio/15] root 665 0.0 0.0 0 0 ? S< 2010 0:00 [kpsmoused] root 808 0.0 0.0 0 0 ? S< 2010 0:00 [ata/0] root 809 0.0 0.0 0 0 ? S< 2010 0:00 [ata/1] root 810 0.0 0.0 0 0 ? S< 2010 0:00 [ata/2] root 811 0.0 0.0 0 0 ? S< 2010 0:00 [ata/3] root 812 0.0 0.0 0 0 ? S< 2010 0:00 [ata/4] root 813 0.0 0.0 0 0 ? S< 2010 0:00 [ata/5] root 814 0.0 0.0 0 0 ? S< 2010 0:00 [ata/6] root 815 0.0 0.0 0 0 ? S< 2010 0:00 [ata/7] root 816 0.0 0.0 0 0 ? S< 2010 0:00 [ata/8] root 817 0.0 0.0 0 0 ? S< 2010 0:00 [ata/9] root 818 0.0 0.0 0 0 ? S< 2010 0:00 [ata/10] root 819 0.0 0.0 0 0 ? S< 2010 0:00 [ata/11] root 820 0.0 0.0 0 0 ? S< 2010 0:00 [ata/12] root 821 0.0 0.0 0 0 ? S< 2010 0:00 [ata/13] root 822 0.0 0.0 0 0 ? S< 2010 0:00 [ata/14] root 823 0.0 0.0 0 0 ? S< 2010 0:00 [ata/15] root 824 0.0 0.0 0 0 ? S< 2010 0:00 [ata_aux] root 842 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_0] root 843 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_1] root 844 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_2] root 845 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_3] root 846 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_4] root 847 0.0 0.0 0 0 ? S< 2010 0:00 [scsi_eh_5] root 882 0.0 0.0 0 0 ? S< 2010 0:00 [kstriped] root 951 0.0 0.0 0 0 ? S< 2010 4:24 [kjournald] root 976 0.0 0.0 0 0 ? S< 2010 0:00 [kauditd] postfix 990 0.0 0.0 54208 2284 ? S 21:19 0:00 pickup -l -t fifo -u root 1013 0.0 0.0 12676 8 ? S<s 2010 0:00 /sbin/udevd -d root 1326 0.0 0.0 90900 3400 ? Ss 14:53 0:00 sshd: root@notty root 1410 0.0 0.0 53972 2108 ? Ss 14:53 0:00 /usr/libexec/openssh/sftp-server root 2690 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/0] root 2691 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/1] root 2692 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/2] root 2693 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/3] root 2694 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/4] root 2695 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/5] root 2696 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/6] root 2697 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/7] root 2698 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/8] root 2699 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/9] root 2700 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/10] root 2701 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/11] root 2702 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/12] root 2703 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/13] root 2704 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/14] root 2705 0.0 0.0 0 0 ? S< 2010 0:00 [kmpathd/15] root 2706 0.0 0.0 0 0 ? S< 2010 0:00 [kmpath_handlerd] root 2755 0.0 0.0 0 0 ? S< 2010 4:35 [kjournald] root 2757 0.0 0.0 0 0 ? S< 2010 3:38 [kjournald] root 2759 0.0 0.0 0 0 ? S< 2010 4:10 [kjournald] root 2761 0.0 0.0 0 0 ? S< 2010 4:26 [kjournald] root 2763 0.0 0.0 0 0 ? S< 2010 3:15 [kjournald] root 2765 0.0 0.0 0 0 ? S< 2010 3:04 [kjournald] root 2767 0.0 0.0 0 0 ? S< 2010 3:02 [kjournald] root 2769 0.0 0.0 0 0 ? S< 2010 2:58 [kjournald] root 2771 0.0 0.0 0 0 ? S< 2010 0:00 [kjournald] root 3340 0.0 0.0 5908 356 ? Ss 2010 2:48 syslogd -m 0 root 3343 0.0 0.0 3804 212 ? Ss 2010 0:03 klogd -x root 3430 0.0 0.0 0 0 ? S< 2010 0:50 [kondemand/0] root 3431 0.0 0.0 0 0 ? S< 2010 0:54 [kondemand/1] root 3432 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/2] root 3433 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/3] root 3434 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/4] root 3435 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/5] root 3436 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/6] root 3437 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/7] root 3438 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/8] root 3439 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/9] root 3440 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/10] root 3441 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/11] root 3442 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/12] root 3443 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/13] root 3444 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/14] root 3445 0.0 0.0 0 0 ? S< 2010 0:00 [kondemand/15] root 3461 0.0 0.0 10760 284 ? Ss 2010 3:44 irqbalance rpc 3481 0.0 0.0 8052 4 ? Ss 2010 0:00 portmap root 3526 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/0] root 3527 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/1] root 3528 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/2] root 3529 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/3] root 3530 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/4] root 3531 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/5] root 3532 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/6] root 3533 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/7] root 3534 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/8] root 3535 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/9] root 3536 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/10] root 3537 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/11] root 3538 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/12] root 3539 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/13] root 3540 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/14] root 3541 0.0 0.0 0 0 ? S< 2010 0:00 [rpciod/15] root 3563 0.0 0.0 10160 8 ? Ss 2010 0:00 rpc.statd root 3595 0.0 0.0 55180 4 ? Ss 2010 0:00 rpc.idmapd dbus 3618 0.0 0.0 21256 28 ? Ss 2010 0:00 dbus-daemon --system root 3649 0.2 0.4 563084 18796 ? S<sl 2010 179:03 mfsmount /mnt/mfs -o rw,mfsmaster=web1.ovs.local root 3702 0.0 0.0 3800 8 ? Ss 2010 0:00 /usr/sbin/acpid 68 3715 0.0 0.0 31312 816 ? Ss 2010 3:14 hald root 3716 0.0 0.0 21692 28 ? S 2010 0:00 hald-runner 68 3726 0.0 0.0 12324 8 ? S 2010 0:00 hald-addon-acpi: listening on acpid socket /var/run/acpid.socket 68 3730 0.0 0.0 12324 8 ? S 2010 0:00 hald-addon-keyboard: listening on /dev/input/event0 root 3773 0.0 0.0 62608 332 ? Ss 2010 0:00 /usr/sbin/sshd ganglia 3786 0.0 0.0 24704 988 ? Ss 2010 14:26 /usr/sbin/gmond root 3843 0.0 0.0 54144 300 ? Ss 2010 1:49 /usr/libexec/postfix/master postfix 3855 0.0 0.0 54860 1060 ? S 2010 0:22 qmgr -l -t fifo -u root 3877 0.0 0.0 74828 708 ? Ss 2010 1:15 crond root 3891 1.4 1.9 326960 77704 ? S<l 2010 896:59 mfschunkserver root 4122 0.0 0.0 18732 176 ? Ss 2010 0:10 /usr/sbin/atd root 4193 0.0 0.8 129180 35984 ? Ssl 2010 11:04 /usr/bin/ruby /usr/sbin/puppetd root 4223 0.0 0.0 18416 172 ? S 2010 0:10 /usr/sbin/smartd -q never root 4227 0.0 0.0 3792 8 tty1 Ss+ 2010 0:00 /sbin/mingetty tty1 root 4230 0.0 0.0 3792 8 tty2 Ss+ 2010 0:00 /sbin/mingetty tty2 root 4231 0.0 0.0 3792 8 tty3 Ss+ 2010 0:00 /sbin/mingetty tty3 root 4233 0.0 0.0 3792 8 tty4 Ss+ 2010 0:00 /sbin/mingetty tty4 root 4234 0.0 0.0 3792 8 tty5 Ss+ 2010 0:00 /sbin/mingetty tty5 root 4236 0.0 0.0 3792 8 tty6 Ss+ 2010 0:00 /sbin/mingetty tty6 root 5596 0.0 0.0 19368 20 ? Ss 2010 0:00 DarwinStreamingServer qtss 5597 0.8 0.9 166572 37408 ? Sl 2010 523:02 DarwinStreamingServer root 8714 0.0 0.0 0 0 ? S Jan31 0:33 [pdflush] root 9914 0.0 0.0 65612 968 pts/1 R+ 21:49 0:00 ps aux root 10765 0.0 0.0 76792 1080 ? Ss Jan24 0:58 SCREEN root 10766 0.0 0.0 66212 872 pts/3 Ss Jan24 0:00 /bin/bash root 11833 0.0 0.0 63852 1060 pts/3 S+ 17:17 0:00 /bin/sh ./launch.sh root 11834 437 42.9 4126884 1733348 pts/3 Sl+ 17:17 1190:50 /usr/bin/java -Xms128m -Xmx512m -XX:+UseConcMarkSweepGC -jar /JavaCore/JavaCore.jar root 13127 4.7 1.1 110564 46876 ? Ssl 17:18 12:55 /JavaCore/fetcher.bin root 19392 0.0 0.0 90108 3336 ? Rs 20:35 0:00 sshd: root@pts/1 root 19401 0.0 0.0 66216 1640 pts/1 Ss 20:35 0:00 -bash root 20567 0.0 0.0 90108 412 ? Ss Jan16 1:58 sshd: root@pts/0 root 20569 0.0 0.0 66084 912 pts/0 Ss Jan16 0:00 -bash root 21053 0.0 0.0 63856 28 ? S Jan30 0:00 /bin/sh /usr/bin/WowzaMediaServerd /usr/local/WowzaMediaServer/bin/setenv.sh /var/run/WowzaM root 21054 2.9 10.3 2252652 418468 ? Sl Jan30 314:25 java -Xmx1200M -server -Djava.net.preferIPv4Stack=true -Dcom.sun.management.jmxremote=true - root 21915 0.0 0.0 0 0 ? S Feb01 0:00 [pdflush] root 29996 0.0 0.0 76524 1004 pts/0 S+ 14:41 0:00 screen -x Any idea what could this be, or where I should look for more diagnostic information? Thanks.

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• Don&rsquo;t Forget! In-Memory Databases are Hot

  - by andrewbrust

  If you’re left scratching your head over SAP’s intention to acquire Sybase for almost $6 million, you’re not alone.  Despite Sybase’s 1990s reign as the supreme database standard in certain sectors (including Wall Street), the company’s flagship product has certainly fallen from grace.  Why would SAP pay a greater than 50% premium over Sybase’s closing price on the day of the announcement just to acquire a relational database which is firmly stuck in maintenance mode? Well there’s more to Sybase than the relational database product.  Take, for example, its mobile application platform.  It hit Gartner’s “Leaders’ Quadrant” in January of last year, and SAP needs a good mobile play.  Beyond the platform itself, Sybase has a slew of mobile services; click this link to look them over. There’s a second major asset that Sybase has though, and I wonder if it figured prominently into SAP’s bid: Sybase IQ.  Sybase IQ is a columnar database.  Columnar databases place values from a given database column contiguously, unlike conventional relational databases, which store all of a row’s data in close proximity.  Storing column values together works well in aggregation reporting scenarios, because the figures to be aggregated can be scanned in one efficient step.  It also makes for high rates of compression because values from a single column tend to be close to each other in magnitude and may contain long sequences of repeating values.  Highly compressible databases use much less disk storage and can be largely or wholly loaded into memory, resulting in lighting fast query performance.  For an ERP company like SAP, with its own legacy BI platform (SAP BW) and the entire range of Business Objects and Crystal Reports BI products (which it acquired in 2007) query performance is extremely important. And it’s a competitive necessity too.  QlikTech has built an entire company on a columnar, in-memory BI product (QlikView).  So too has startup company Vertica.  IBM’s TM1 product has been doing in-memory OLAP for years.  And guess who else has the in-memory religion?  Microsoft does, in the form of its new PowerPivot product.  I expect the technology in PowerPivot to become strategic to the full-blown SQL Server Analysis Services product and the entire Microsoft BI stack.  I sure don’t blame SAP for jumping on the in-memory bandwagon, if indeed the Sybase acquisition is, at least in part, motivated by that. It will be interesting to watch and see what SAP does with Sybase’s product line-up (assuming the acquisition closes), including the core database, the mobile platform, IQ, and even tools like PowerBuilder.  It is also fascinating to watch columnar’s encroachment on relational.  Perhaps this acquisition will be columnar’s tipping point and people will no longer see it as a fad.  Are you listening Larry Ellison?

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• Macbook (non-pro, late 2010) Power Management Issues relating to Nvidia-Current drivers

  - by gbvitaobscura

  I have tried many potential solutions but to no avail! (this is going to be a long post) Essentially, when I first install ubuntu (I have tested 10.11-12.04 beta) I can change the brightness of the macbook backlight. One of the first things I usually do once my machine finishes installing is enter "sudo apt-get install nvidia-current" into the terminal to get my Nvidia graphics card set up. Before I install nvidia-current power management works flawlessly. After installing nvidia-current my graphics driver works mostly properly (more on that later). When I press F1 or F2 notify osd pops up and shows icon for the backlight along with a meter which changes according to how much I press F1 or F2, but the backlight does not change brightness at all. Two supplementary facts: when I am running off of battery power the backlight does not dim ever, also changing the backlight brightness through the terminal does not work (it recognizes the command but changes nothing). Things which did not work: 1. editing xorg.conf 2. python script/hack 3. editing grub Things which did work: 1. removing Nvidia-Current Final piece of information: Although my graphics card works in every way but Power Management it can not be found through System Settings/Details (Graphics Unknown) I'm using the NVIDIA GeForce 320M. the output of lspci is: 00:00.0 Host bridge: NVIDIA Corporation MCP89 HOST Bridge (rev a1) 00:00.1 RAM memory: NVIDIA Corporation MCP89 Memory Controller (rev a1) 00:01.0 RAM memory: NVIDIA Corporation Device 0d6d (rev a1) 00:01.1 RAM memory: NVIDIA Corporation Device 0d6e (rev a1) 00:01.2 RAM memory: NVIDIA Corporation Device 0d6f (rev a1) 00:01.3 RAM memory: NVIDIA Corporation Device 0d70 (rev a1) 00:02.0 RAM memory: NVIDIA Corporation Device 0d71 (rev a1) 00:02.1 RAM memory: NVIDIA Corporation Device 0d72 (rev a1) 00:03.0 ISA bridge: NVIDIA Corporation MCP89 LPC Bridge (rev a2) 00:03.1 RAM memory: NVIDIA Corporation MCP89 Memory Controller (rev a1) 00:03.2 SMBus: NVIDIA Corporation MCP89 SMBus (rev a1) 00:03.3 RAM memory: NVIDIA Corporation MCP89 Memory Controller (rev a1) 00:03.4 Co-processor: NVIDIA Corporation MCP89 Co-Processor (rev a1) 00:04.0 USB controller: NVIDIA Corporation MCP89 OHCI USB 1.1 Controller (rev a1) 00:04.1 USB controller: NVIDIA Corporation MCP89 EHCI USB 2.0 Controller (rev a2) 00:06.0 USB controller: NVIDIA Corporation MCP89 OHCI USB 1.1 Controller (rev a1) 00:06.1 USB controller: NVIDIA Corporation MCP89 EHCI USB 2.0 Controller (rev a2) 00:08.0 Audio device: NVIDIA Corporation MCP89 High Definition Audio (rev a2) 00:09.0 Ethernet controller: NVIDIA Corporation MCP89 Ethernet (rev a1) 00:0a.0 IDE interface: NVIDIA Corporation MCP89 SATA Controller (rev a2) 00:0b.0 RAM memory: NVIDIA Corporation Device 0d75 (rev a1) 00:15.0 PCI bridge: NVIDIA Corporation Device 0d9b (rev a1) 00:17.0 PCI bridge: NVIDIA Corporation MCP89 PCI Express Bridge (rev a1) 01:00.0 Network controller: Broadcom Corporation BCM43224 802.11a/b/g/n (rev 01) 02:00.0 VGA compatible controller: NVIDIA Corporation Device 08a0 (rev a2) There is a very similar bug on Launchpad which I have posted below. https://bugs.launchpad.net/ubuntu/+source/nvidia-graphics-drivers/+bug/764195

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• CGBitmapContextCreate on the iPhone/iPad

  - by toastie

  Hello, I have a method that needs to parse through a bunch of large PNG images pixel by pixel (the PNGs are 600x600 pixels each). It seems to work great on the Simulator, but on the device (iPad), i get an EXC_BAD_ACCESS in some internal memory copying function. It seems the size is the culprit because if I try it on smaller images, everything seems to work. Here's the memory related meat of method below. + (CGRect) getAlphaBoundsForUImage: (UIImage*) image { CGImageRef imageRef = [image CGImage]; NSUInteger width = CGImageGetWidth(imageRef); NSUInteger height = CGImageGetHeight(imageRef); CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB(); unsigned char *rawData = malloc(height * width * 4); memset(rawData,0,height * width * 4); NSUInteger bytesPerPixel = 4; NSUInteger bytesPerRow = bytesPerPixel * width; NSUInteger bitsPerComponent = 8; CGContextRef context = CGBitmapContextCreate(rawData, width, height, bitsPerComponent, bytesPerRow, colorSpace, kCGImageAlphaPremultipliedLast | kCGBitmapByteOrder32Big); CGColorSpaceRelease(colorSpace); CGContextDrawImage(context, CGRectMake(0, 0, width, height), imageRef); CGContextRelease(context); /* non-memory related stuff */ free(rawData); When I run this on a bunch of images, it runs 12 times and then craps out, while on the simulator it runs no problem. Do you guys have any ideas?

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• How to dispose a Writeable Bitmap? (WPF)

  - by Mario

  Some time ago i posted a question related to a WriteableBitmap memory leak, and though I received wonderful tips related to the problem, I still think there is a serious bug / (mistake made by me) / (Confusion) / (some other thing) here. So, here is my problem again: Suppose we have a WPF application with an Image and a button. The image's source is a really big bitmap (3600 * 4800 px), when it's shown at runtime the applicaton consumes ~90 MB. Now suppose i wish to instantiate a WriteableBitmap from the source of the image (the really big Image), when this happens the applications consumes ~220 MB. Now comes the tricky part, when the modifications to the image (through the WriteableBitmap) end, and all the references to the WriteableBitmap (at least those that I'm aware of) are destroyed (at the end of a method or by setting them to null) the memory used by the writeableBitmap should be freed and the application consumption should return to ~90 MB. The problem is that sometimes it returns, sometimes it does not. Here is a sample code: // The Image's source whas set previous to this event private void buttonTest_Click(object sender, RoutedEventArgs e) { if (image.Source != null) { WriteableBitmap bitmap = new WriteableBitmap((BitmapSource)image.Source); bitmap.Lock(); bitmap.Unlock(); //image.Source = null; bitmap = null; } } As you can see the reference is local and the memory should be released at the end of the method (Or when the Garbage collector decides to do so). However, the app could consume ~224 MB until the end of the universe. Any help would be great.

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• Clear UIWebView content upon dismissal of modal view (iPhone OS 3.0)

  - by Ricky

  I currently have a UIWebView that is displayed within a modal view. It is basically a detail view that provides a view of a page when the user clicks a link. When the view is dismissed and then brought up again (when the user clicks another link), the previously-loaded content is still visible and the new content loads "on top" of the last content. This makes sense because the instance of the UIWebView persists between sessions and is only released when the memory is needed. However, I would like to completely clear the UIWebView when the modal view is dismissed so that 1) content is cleared and 2) memory is freed. Thus far my research and attempts have not found an answer. These links haven't worked for me: http://stackoverflow.com/questions/2184688/is-it-possible-to-free-memory-of-uiwebview http://stackoverflow.com/questions/2311564/reused-uiwebview-showing-previous-loaded-content-for-a-brief-second-on-iphone I've tried [[NSURLCache sharedURLCache] removeAllCachedResponses]; and setting the webView to nil and manually releasing the webView upon modal-view-dismiss to no avail. Any thoughts from the wizened masses?

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• Is there any danger in calling free() or delete instead of delete[]? [closed]

  - by Matt Joiner

  Possible Duplicate: ( POD )freeing memory : is delete[] equal to delete ? Does delete deallocate the elements beyond the first in an array? char *s = new char[n]; delete s; Does it matter in the above case seeing as all the elements of s are allocated contiguously, and it shouldn't be possible to delete only a portion of the array? For more complex types, would delete call the destructor of objects beyond the first one? Object *p = new Object[n]; delete p; How can delete[] deduce the number of Objects beyond the first, wouldn't this mean it must know the size of the allocated memory region? What if the memory region was allocated with some overhang for performance reasons? For example one could assume that not all allocators would provide a granularity of a single byte. Then any particular allocation could exceed the required size for each element by a whole element or more. For primitive types, such as char, int, is there any difference between: int *p = new int[n]; delete p; delete[] p; free p; Except for the routes taken by the respective calls through the delete-free deallocation machinery?

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• Better why of looping to detect change.

  - by Dremation

  As of now I'm using a while(true) method to detect changes in memory. The problem with this is it's kill the applications performance. I have a list of 30 pointers that need checked as rapidly as possible for changes, without sacrificing a huge performance loss. Anyone have ideas on this? memScan = new Thread(ScanMem); public static void ScanMem() { int i = addy.Length; while (true) { Thread.Sleep(30000); //I do this to cut down on cpu usage for (int j = 0; j < i; j++) { string[] values = addy[j].Split(new char[] { Convert.ToChar(",") }); //MessageBox.Show(values[2]); try { if (Memory.Scanner.getIntFromMem(hwnd, (IntPtr)Convert.ToInt32(values[0], 16), 32).ToString() != values[1].ToString()) { //Ok, it changed lets do our work //work if (Globals.Working) return; SomeFunction("Results: " + values[2].ToString(), "Memory"); Globals.Working = true; }//end if }//end try catch { } }//end for }//end while }//end void

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• Can't get past 2542 Threads in Java on 4GB iMac OSX 10.6.3 Snow Leopard (32bit)

  - by fuzzy lollipop

  I am running the following program trying to figure out how to configure my JVM to get the maximum number of threads my machine can support. For those that might not know, Snow Leopard ships with Java 6. I tried starting it with defaults, and the following command lines, I always get the Out of Memory Error at Thread 2542 no matter what the JVM options are set to. java TestThreadStackSizes 100000 java -Xss1024 TestThreadStackSizes 100000 java -Xmx128m -Xss1024 TestThreadStackSizes 100000 java -Xmx2048m -Xss1024 TestThreadStackSizes 100000 java -Xmx2048m -Xms2048m -Xss1024 TestThreadStackSizes 100000 no matter what I pass it, I get the same results, Out of Memory Error at 2542 public class TestThreadStackSizes { public static void main(final String[] args) { Thread.currentThread().setUncaughtExceptionHandler(new Thread.UncaughtExceptionHandler() { public void uncaughtException(final Thread t, final Throwable e) { System.err.println(e.getMessage()); System.exit(1); } }); int numThreads = 1000; if (args.length == 1) { numThreads = Integer.parseInt(args[0]); } for (int i = 0; i < numThreads; i++) { try { Thread t = new Thread(new SleeperThread(i)); t.start(); } catch (final OutOfMemoryError e) { throw new RuntimeException(String.format("Out of Memory Error on Thread %d", i), e); } } } private static class SleeperThread implements Runnable { private final int i; private SleeperThread(final int i) { this.i = i; } public void run() { try { System.out.format("Thread %d about to sleep\n", this.i); Thread.sleep(1000 * 60 * 60); } catch (final InterruptedException e) { throw new RuntimeException(e); } } } } Any ideas on now I can affect these results?

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• Java OutOfMemoryError message changes when trying to create Arrays of different sizes

  - by Gordon

  In the question by DKSRathore How to simulate the Out Of memory : Requested array size exceeds VM limit some odd behavior was noted when creating an arrays. When creating an array of size Integer.MAX_VALUE an exception with the error java.lang.OutOfMemoryError Requested array size exceeds VM limit was thrown. However when an array was created with a size less than the max but still above the virtual machine memory limit the error message read java.lang.OutOfMemoryError: Java heap space. Testing further I managed to narrow down where the error messages changes. long[] l = new long[2147483645]; exceptions message reads - Requested array size exceeds VM limit long[] l = new long[2147483644]; exceptions message reads - Java heap space errors I increased my virtual machine memory and still produced the same result. Has anyone any idea why this happens? Some extra info: Integer.MAX_VALUE = 2147483647. Edit: Here's the code I used to find the value, might be helpful. int max = Integer.MAX_VALUE; boolean done = false; while (!done) { try { max--; // Throws an error long[] l = new long[max]; // Exit if an error is no longer thrown done = true; } catch (OutOfMemoryError e) { if (!e.getMessage().contains("Requested array size exceeds VM limit")) { System.out.println("Message changes at " + max); done = true; } } }

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• Better way of looping to detect change.

  - by Dremation

  As of now I'm using a while(true) method to detect changes in memory. The problem with this is it's kill the applications performance. I have a list of 30 pointers that need checked as rapidly as possible for changes, without sacrificing a huge performance loss. Anyone have ideas on this? memScan = new Thread(ScanMem); public static void ScanMem() { int i = addy.Length; while (true) { Thread.Sleep(30000); //I do this to cut down on cpu usage for (int j = 0; j < i; j++) { string[] values = addy[j].Split(new char[] { Convert.ToChar(",") }); //MessageBox.Show(values[2]); try { if (Memory.Scanner.getIntFromMem(hwnd, (IntPtr)Convert.ToInt32(values[0], 16), 32).ToString() != values[1].ToString()) { //Ok, it changed lets do our work //work if (Globals.Working) return; SomeFunction("Results: " + values[2].ToString(), "Memory"); Globals.Working = true; }//end if }//end try catch { } }//end for }//end while }//end void

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• Preventing a heavy process from sinking in the swap file

  - by eran

  Our service tends to fall asleep during the nights on our client's server, and then have a hard time waking up. What seems to happen is that the process heap, which is sometimes several hundreds of MB, is moved to the swap file. This happens at night, when our service is not used, and others are scheduled to run (DB backups, AV scans etc). When this happens, after a few hours of inactivity the first call to the service takes up to a few minutes (consequent calls take seconds). I'm quite certain it's an issue of virtual memory management, and I really hate the idea of forcing the OS to keep our service in the physical memory. I know doing that will hurt other processes on the server, and decrease the overall server throughput. Having that said, our clients just want our app to be responsive. They don't care if nightly jobs take longer. I vaguely remember there's a way to force Windows to keep pages on the physical memory, but I really hate that idea. I'm leaning more towards some internal or external watchdog that will initiate higher-level functionalities (there is already some internal scheduler that does very little, and makes no difference). If there were a 3rd party tool that provided that kind of service is would have been just as good. I'd love to hear any comments, recommendations and common solutions to this kind of problem. The service is written in VC2005 and runs on Windows servers.

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• Large ListView containing images in Android

  - by Marco W.

  For various Android applications, I need large ListViews, i.e. such views with 100-300 entries. All entries must be loaded in bulk when the application is started, as some sorting and processing is necessary and the application cannot know which items to display first, otherwise. So far, I've been loading the images for all items in bulk as well, which are then saved in an ArrayList<CustomType> together with the rest of the data for each entry. But of course, this is not a good practice, as you're very likely to have an OutOfMemoryException then: The references to all images in the ArrayList prevent the garbage collector from working. So the best solution is, obviously, to load only the text data in bulk whereas the images are then loaded as needed, right? The Google Play application does this, for example: You can see that images are loaded as you scroll to them, i.e. they are probably loaded in the adapter's getView() method. But with Google Play, this is a different problem, anyway, as the images must be loaded from the Internet, which is not the case for me. My problem is not that loading the images takes too long, but storing them requires too much memory. So what should I do with the images? Load in getView(), when they are really needed? Would make scrolling sluggish. So calling an AsyncTask then? Or just a normal Thread? Parametrize it? I could save the images that are already loaded into a HashMap<String,Bitmap>, so that they don't need to be loaded again in getView(). But if this is done, you have the memory problem again: The HashMap stores references to all images, so in the end, you could have the OutOfMemoryException again. I know that there are already lots of questions here that discuss "Lazy loading" of images. But they mainly cover the problem of slow loading, not too much memory consumption.

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• Memory leak with objective-c on alloc

  - by Grunzig

  When I use Instruments to find memory leaks, a leak is detected on Horaires *jour; jour= [[Horaires alloc] init]; // memory leak reported here by Instruments self.lundi = jour; [jour release]; and I don't know why there is a leak at this point. Does anyone can help me? Here's the code. // HorairesCollection.h #import <Foundation/Foundation.h> #import "Horaires.h" @interface HorairesCollection : NSObject < NSCopying > { Horaires *lundi; } @property (nonatomic, retain) Horaires *lundi; -init; -(void)dealloc; @end // HorairesCollection.m #import "HorairesCollection.h" @implementation HorairesCollection @synthesize lundi; -(id)copyWithZone:(NSZone *)zone{ DefibHoraires *another = [[DefibHoraires alloc] init]; another.lundi = [lundi copyWithZone: zone]; [another autorelease]; return another; } -init{ self = [super init]; Horaires *jour; jour= [[Horaires alloc] init]; // memory leak reported here by Instruments self.lundi = jour; [jour release]; return self; } - (void)dealloc { [lundi release]; [super dealloc]; } @end // Horaires.h #import <Foundation/Foundation.h> @interface Horaires : NSObject <NSCopying>{ BOOL ferme; BOOL h24; NSString *h1; } @property (nonatomic, assign) BOOL ferme; @property (nonatomic, assign) BOOL h24; @property (nonatomic, retain) NSString *h1; -init; -(id)copyWithZone:(NSZone *)zone; -(void)dealloc; @end // Horaires.m #import "Horaires.h" @implementation Horaires -(BOOL) ferme { return ferme; } -(void)setFerme:(BOOL)bFerme{ ferme = bFerme; if (ferme) { self.h1 = @""; self.h24 = NO; } } -(BOOL) h24 { return h24; } -(void)setH24:(BOOL)bH24{ h24 = bH24; if (h24) { self.h1 = @""; self.ferme = NO; } } -(NSString *) h1 { return h1; } -(void)setH1:(NSString *)horaire{ [horaire retain]; [h1 release]; h1 = horaire; if (![h1 isEqualToString:@""]) { self.h24 = NO; self.ferme = NO; } } -(id)copyWithZone:(NSZone *)zone{ Horaires *another = [[Horaires alloc] init]; another.ferme = self.ferme; another.h24 = self.h24; another.h1 = self.h1; [another autorelease]; return another; } -init{ self = [super init]; return self; } -(void)dealloc { [h1 release]; [super dealloc]; } @end

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• safe structures embedded systems

  - by user405633

  I have a packet from a server which is parsed in an embedded system. I need to parse it in a very efficient way, avoiding memory issues, like overlapping, corrupting my memory and others variables. The packet has this structure "String A:String B:String C". As example, here the packet received is compounded of three parts separated using a separator ":", all these parts must be accesibles from an structure. Which is the most efficient and safe way to do this. A.- Creating an structure with attributes (partA, PartB PartC) sized with a criteria based on avoid exceed this sized from the source of the packet, and attaching also an index with the length of each part in a way to avoid extracting garbage, this part length indicator could be less or equal to 300 (ie: part B). typedef struct parsedPacket_struct { char partA[2];int len_partA; char partB[300];int len_partB; char partC[2];int len_partC; }parsedPacket; The problem here is that I am wasting memory, because each structure should copy the packet content to each the structure, is there a way to only save the base address of each part and still using the len_partX.

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• Better variant of getting the output dinamically-allocated array from the function?

  - by Raigomaru

  Here is to variants. First: int n = 42; int* some_function(int* input) { int* result = new int[n]; // some code return result; } void main() { int* input = new int[n]; int* output = some_function(input); delete[] input; delete[] output; } Here the function returns the memory, allocated inside the function. Second variant: int n = 42; void some_function(int* input, int* output) { // some code } void main() { int* input = new int[n]; int* output = new int[n]; some_function(input, output); delete[] input; delete[] output; } Here the memory is allocated outside the function. Now I use the first variant. But I now that many built-in c++ functions use the second variant. The first variant is more comfortable (in my opinion). But the second one also has some advantages (you allocate and delete memory in the same block). Maybe it's a silly question but what variant is better and why?

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• Intel 1.83 Mac Mini upgraded to 1.5 gig for Snow Leopard

  - by Paula

  Even though I've upgraded countless video cards, RAM, harddrives, motherboards in PCs... this will be my first mac mini RAM upgrade. I've watched the classic "putty knife" video. (Absurd method... but I guess it's what I'm stuck with.) I have a 1.83 Intel-based Mac Mini from 2007-2008, with 1 gig of RAM. (Two 512 sticks) Can I install 1 gig + 512 ? (Or do I have to throw away my existing sticks and buy two 1 gig sticks?) This old machine is rarely used... so I want to spend the absolute minimum on this RAM upgrade. We ONLY use it to run xCode... nothing more. But wanted to increase the RAM so we can install Snow Leopard. I have no idea how many pins the memory has. I printed out over FORTY pages of specs about this machine from "About this Mac"... but didn't find what I needed. Does this sound right: DDR2 SDRAM (but no mention of SO-DIMM) 667MHZ (but don't know if I can use faster also) Pin count: Unknown Computer model number: Unknown (But I "think" it's an MB138/A) PC2 RAM (unknown... not mentioned) 5300 (unknown... not mentioned) Mfg date: (unknown... not mentioned) Number of slots: (unknown... not mentioned) Laptop or desktop RAM: (unknown... not mentioned)

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• swapping or trashing with vast amounts of unmapped pagecache

  - by Marco

  I'm using kubuntu jaunty (i386 32bit), kernel 2.6.28-13-generic. I've 4Gb of RAM, of which only 3317Mb are seen by the system (I guess because of the 32bit system). I'm seeing that the pagecache utilization is continually growing, up to the point that the system is unusable (after a few days). This happens also when I don't do anything (all user applications closed and the bare minimum of services enabled). If enabled, the system starts to use swap space (using it all in the end). Even if swap is disabled, disk activity becomes continuous, with the system unresponsive. For example, right now the system is working (albeit a tad slow), with only firefox and wing ide running, and I have 2Gb cached with only 45Mb mapped: $ free total used free shared buffers cached Mem: 3346388 3247328 99060 0 8416 2117980 -/+ buffers/cache: 1120932 2225456 Swap: 2144668 519448 1625220 $ cat /proc/meminfo MemTotal: 3346388 kB MemFree: 97128 kB Buffers: 7872 kB Cached: 2120224 kB SwapCached: 413860 kB Active: 2304596 kB Inactive: 865984 kB Active(anon): 2279168 kB Inactive(anon): 830236 kB Active(file): 25428 kB Inactive(file): 35748 kB Unevictable: 32 kB Mlocked: 32 kB HighTotal: 2492940 kB HighFree: 5456 kB LowTotal: 853448 kB LowFree: 91672 kB SwapTotal: 2144668 kB SwapFree: 1625244 kB Dirty: 84 kB Writeback: 0 kB AnonPages: 629304 kB Mapped: 45768 kB Slab: 45600 kB SReclaimable: 21756 kB SUnreclaim: 23844 kB PageTables: 4468 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 3817860 kB Committed_AS: 3735020 kB VmallocTotal: 122880 kB VmallocUsed: 9352 kB VmallocChunk: 66600 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 4096 kB DirectMap4k: 16376 kB DirectMap4M: 888832 kB If I try to drop the caches, little happes: # sync ; echo 3 > /proc/sys/vm/drop_caches ; free total used free shared buffers cached Mem: 3346388 3220580 125808 0 3020 2100600 -/+ buffers/cache: 1116960 2229428 Swap: 2144668 519356 1625312 Right now I've vm.swappiness = 5, but I've tried also with 0 and 1 (without noticeable differences). I've also tried vm.vfs_cache_pressure = 50 and 150 (again, no differences). As I said the pagecache eats all memory even with swapping turned off. What is happening? How to avoid this? TIA, Marco

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• Maximum RAM on Biostar P4M8PM7 Socket775 mATX board

  - by Alex Balashov

  I have a server with a Biostar P4M8PM7 ("Pro-M7") board based on a VIA chipset. It's a strange board to put in a server because it seems like more of a desktop board to me, but alas! It takes DDR2-667 (PC5300) RAM. What I can't figure out is the maximum amount I can put in it, as I cannot find the manual anywhere online. I've found a few marketing broadsheets from online retailers that say, "up to 2 GB of RAM!" but I am not sure whether to believe them. They also do not seem to be quite for the same board, as they indicate DDR2 400/533 RAM, for example: http://www.geeks.com/details.asp?invtid=P4M8P-M7. The manufacturer's web site says the same thing, but does not elaborate. It's a 64-bit CPU and board; is there a technical reason why the board would not be able to address more than 2 GB? Can someone tell me what sort of that reason that would be? I bought this server from someone really hoping I could put 8 to 16 in it, and wanted to do some research before I gave up. On a related note, it's not indicated anywhere whether it can take ECC RAM; the existing chips are not ECC, but most memory sold in the range I'm looking for (e.g. DIMMs with enough chip density to do 8 GB) seems to be server-class and for that reason ECC. Any ideas? Thank you very much for your consideration in advance!

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• Xen dom0 reports incorrect amount of RAM with dom0_mem set

  - by xen_amnesiac

  I've done a fair bit of searching about this, but have found nothing that answers my question. I have a system with 6GB of RAM which acts as a Xen server. For reference, it runs Ubuntu 12.04. I've set the kernel parameter dom0_mem:512M,max:512M in /etc/default/grub as follows: GRUB_CMDLINE_XEN_DEFAULT="dom0_mem=min:512M,max:512M" I've tried variations of that, with the same result. My question is this: With the above set, the dom0 reports in all applications a RAM amount of 422M. cat /proc/meminfo gives the following: $ cat /proc/meminfo MemTotal: 432472 kB MemFree: 54144 kB Buffers: 17640 kB Cached: 220104 kB SwapCached: 30172 kB Active: 136500 kB Inactive: 167780 kB Active(anon): 6156 kB Inactive(anon): 60516 kB Active(file): 130344 kB Inactive(file): 107264 kB Unevictable: 52 kB Mlocked: 52 kB SwapTotal: 1794044 kB SwapFree: 1682012 kB Dirty: 0 kB Writeback: 0 kB AnonPages: 39572 kB Mapped: 8048 kB Shmem: 136 kB Slab: 44324 kB SReclaimable: 22012 kB SUnreclaim: 22312 kB KernelStack: 1280 kB PageTables: 3840 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 2010280 kB Committed_AS: 329192 kB VmallocTotal: 34359738367 kB VmallocUsed: 313988 kB VmallocChunk: 34359417340 kB HardwareCorrupted: 0 kB AnonHugePages: 0 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 2048 kB DirectMap4k: 524696 kB DirectMap2M: 0 kB top, htop, free -m, and byobu's RAM monitor all report the same amount. At first I thought this was because of the onboard graphics borrowing some memory, but have now switched to a dedicated GPU and it persists. Is this normal behavior, or has something gone amiss? It's just about 100MB of RAM that's "gone", and I have no idea where it went. I understand that it's normal that not all RAM is available for allocation, but does the system really take an amount relatively high to the amount of RAM available?

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• Ubuntu 9.10 Only Sees 244 MB RAM, while BIOS and Windows Sees 1.5 GB

  - by nicorellius

  I have 1.5 GB of RAM installed on an older Dell, Pentium 4. I just installed Ubuntu 9.1 and the system is only seeing 244 MB of RAM, even though there is 1.5 GB on the system. The BIOS sees all of it. I ran a Knoppix disc and it only saw 25 MB upon booting. I made no particular changes to the installation taht would affect this. I looked through the BIOS and the only setting I could see was the AGP aperture. Not even sure what this is. Anyone know where I went wrong? I also tried moving the memory modules around on the board. Booted with the 1 GB stick, still saw 244 MB. NOTE - This same system, except for the hard drive, had Windows XP running on it. The user who ran it said that the RAM was good and always showed 1.5 GB. Here is sudo cat /proc/meminfo MemTotal: 250064 kB MemFree: 3832 kB Buffers: 13356 kB Cached: 52216 kB SwapCached: 19676 kB Active: 91504 kB Inactive: 113884 kB Active(anon): 60572 kB Inactive(anon): 82156 kB Active(file): 30932 kB Inactive(file): 31728 kB Unevictable: 0 kB Mlocked: 0 kB HighTotal: 0 kB HighFree: 0 kB LowTotal: 250064 kB LowFree: 3832 kB SwapTotal: 4883720 kB SwapFree: 4781204 kB Dirty: 496 kB Writeback: 720 kB AnonPages: 123796 kB Mapped: 23368 kB Slab: 17248 kB SReclaimable: 7932 kB SUnreclaim: 9316 kB PageTables: 5304 kB NFS_Unstable: 0 kB Bounce: 0 kB WritebackTmp: 0 kB CommitLimit: 5008752 kB Committed_AS: 740372 kB VmallocTotal: 770600 kB VmallocUsed: 26008 kB VmallocChunk: 662544 kB HugePages_Total: 0 HugePages_Free: 0 HugePages_Rsvd: 0 HugePages_Surp: 0 Hugepagesize: 4096 kB DirectMap4k: 114128 kB DirectMap4M: 147456 kB

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