Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id S1947430AbWLHWLf (ORCPT ); Fri, 8 Dec 2006 17:11:35 -0500 Received: (majordomo@vger.kernel.org) by vger.kernel.org id S1947432AbWLHWLf (ORCPT ); Fri, 8 Dec 2006 17:11:35 -0500 Received: from e3.ny.us.ibm.com ([32.97.182.143]:43067 "EHLO e3.ny.us.ibm.com" rhost-flags-OK-OK-OK-OK) by vger.kernel.org with ESMTP id S1947430AbWLHWLe (ORCPT ); Fri, 8 Dec 2006 17:11:34 -0500 Subject: Re: cfq performance gap From: Avantika Mathur To: Jens Axboe Cc: linux-kernel@vger.kernel.org In-Reply-To: <20061208120522.GN23887@kernel.dk> References: <1165536200.25180.1.camel@dyn9047017105.beaverton.ibm.com> <20061208120522.GN23887@kernel.dk> Content-Type: multipart/mixed; boundary="=-nk28ucPGOcJf3N35PIK4" Date: Fri, 08 Dec 2006 14:09:53 -0800 Message-Id: <1165615793.9200.11.camel@dyn9047017105.beaverton.ibm.com> Mime-Version: 1.0 X-Mailer: Evolution 2.2.3 (2.2.3-4.fc4) Sender: linux-kernel-owner@vger.kernel.org X-Mailing-List: linux-kernel@vger.kernel.org Content-Length: 20286 Lines: 311 --=-nk28ucPGOcJf3N35PIK4 Content-Type: text/plain Content-Transfer-Encoding: 7bit On Fri, 2006-12-08 at 13:05 +0100, Jens Axboe wrote: > On Thu, Dec 07 2006, Avantika Mathur wrote: > > Hi Jens, > > (you probably noticed now, but the axboe@suse.de email is no longer > valid) I saw that, thanks! > > I've noticed a performance gap between the cfq scheduler and other io > > schedulers when running the rawio benchmark. > > Results from rawio on 2.6.19, cfq and noop schedulers: > > > > CFQ: > > > > procs device num read KB/sec I/O Ops/sec > > ----- --------------- ---------- ------- -------------- > > 16 /dev/sda 16412 8338 2084 > > ----- --------------- ---------- ------- -------------- > > 16 16412 8338 2084 > > > > Total run time 0.492072 seconds > > > > > > NOOP: > > > > procs device num read KB/sec I/O Ops/sec > > ----- --------------- ---------- ------- -------------- > > 16 /dev/sda 16399 29224 7306 > > ----- --------------- ---------- ------- -------------- > > 16 16399 29224 7306 > > > > Total run time 0.140284 seconds > > > > The benchmark workload is 16 processes running 4k random reads. > > > > Is this performance gap a known issue? > > CFQ could be a little slower at this benchmark, but your results are > much worse than I would expect. What is the queueing depth of sda? How > are you invoking rawio? I am running rawio with the following options: rawread -p 16 -m 1 -d 1 -x -z -t 0 -s 4096 The queue depth on sda is 4. > > Your runtime is very low, how does it look if you allow the test to run > for much longer? 30MiB/sec random read bandwidth seems very high, I'm > wondering what exactly is being tested here. > rawio is actually performing sequential reads, but I don't believe it is purely sequential with the multiple processes. I am currently running the test with longer runtimes and will post results once it is complete. I've also attached the rawio source. Thanks, Avantika --=-nk28ucPGOcJf3N35PIK4 Content-Disposition: attachment; filename=rawio-2.4.2.tar.gz Content-Type: application/x-compressed-tar; name=rawio-2.4.2.tar.gz Content-Transfer-Encoding: base64 H4sIAM6GFEMAA+w7aXfb1rH+Sv6KCVMrpMwFIEXJiqr0SDLtqLElV0v9XNeHBwQuSNgggGLRksT/ /c3Mvdgh2mmStu+8MieyeO9sd+7sgELj1vEH4+HOcDx69Dt9NE0b7+3tPdJ2dnV9PH6k65Oprk1p Pf080jVc0bTJGPc1bW86nT6C6e8lUPGTRLERAvwrWP0nfsLC/a+NjwK//+Y86II33f9kbxfvf6Lh 4nhP23mk6bq+g/ev/eaSNHz+n9+/EZqrwz90E89YCxise23HhnfwB1qGw0MIAnN3B94fQLwSXru1 NE0EwpXBs/mLs+v55fn1xcmMvj0/fTk7f/78cnY1Pz69ujwkmDeG68LgfAyDJQxeDmHgGo6PP4N4 FQrDgoEPaG78q/p3iOSXbeFGQvH6PdnYTvvfrf1//6fo/5l2fmMeG/1f1/Z29vTM/3cmY/L/ye7u f/3/X/Fpj7bbAJmDsCG0aeVqJbLVIPSXobEGJwID1o4Z+gvhmau1EX6EJBIWxD6shREloaBAAYEI bT9cG54piJThWRCZhmssHNeJ78G34VvmgZ9I/CMRXuwYLoOF+MNfA2IjiIQgCbo93r0NnVh0e31e uyms3dBiUIAMFKiipEjJgwJGh6bPjQgjx/dAH2pDPcewnFCYMSHh3uXJ5SlY4sYxRVTFKOoxFIEf xlHOOjBQgSJGBKkxKwkdb8naChNPAWHA8pPlKkiQnQc/HI8itXHy+hqSGLX3oxETw64dopZGeC/m CO037jGbs/OrGXwLnpA3EjjmxyRAaW3Wwvn82enF7OQKIh8WieOi6px4VQ6xTKYh8FJw/ZKoqiwH 7aRgMnYoBDK141sjFAdw7ydgGh6qyHKiOHQWSSzAienaRijm2rcc+57o4FriWSJkJaHm1hFZDn1B 0eCF8LBYceF1snAdE17ijXiRAANZ00q0QiUsmA5hPCcZLpUM8NxHwqzJAxCoBOSRXuU45aEI9sEP iUjXiEnyEPyA8MjK7sE14hx12Hj4/IwW3SlRXvkBuQkSxBPeOpi8FoKMwk7cPpFAYHhzevX9+fUV HJ29hTdHFxdHZ1dvD/jCfNwVN0KSctaB6yBlPBV6DrsWUXg1uzj5HlGOjk9fnl69xSPA89Ors9nl JTw/v4AjeH10cXV6cv3y6AJeX1+8Pr+cDQEuBXsvEdigYJvvCJVoidhw3Ege+y1eaoSyoVWtjBu0 aWEK5wYlM8D0g/vPXxzHCddHl2CrjAtqPACsSTw/7ktfJ9OuXSmh57fah1PPHPZhd28Kr4wogqMb vMgTY70IHWuJv746Am2sT/b7cH15JE/wKsGKR4lJfiUQLbr3TBm9VsjDwhi3xuNYAu0XqyX2QYsj 4ZCv3lkLdMZ1UIW5XKGijMUKzoylEX4ToTFHcXo6yf0ElRQ6y1UM3ZMenB6/gjE2TbTzBs8c43Uv 7uGYbOV7I4xRgX0Geul4yR1cCXPl+a6/vIcTjKVokl39KV5nwERkbNCm8EyYvAADMCxLWGnA7GfR sg/lXzCssqzRMA+H6UeSUPEaI8NDcLZzh3DVACbjIxvTeDgF7Ds84Up0TYejIHRcknUCMIjcQDGj AES3sTBivCv6JrmCPh7o+4SrN+Be0iXKoBWR7VC1GMU+Eo35siO6pxjvDsM4BnIms1MkM4BchI8C tWq4aNrg+kgD6ZksjUWBUHHpS5shQxZWu4UfaFE8ToVwvIjCgc9x+eNI3AmTTz4el6Vfm4ZfOPra 8W4NDBnyzGNtMJ5QJvTDpeE5P8rMy0I5HjG9RdqUABPPjDk8EYedMgdUvjbUFA9l5L5tRwIZsB+6 vvkR85REftqArKMEa588XdzFocEIlCg93xvIe8KALlgJqIXUHGzHFStUkivjCZ0OaYQrViIej9nt N7AbAzFLxWLknAtgbIwcq6CJmJK2ew8xdrapaKYYPkh+QvIpDeDFuhSy85OYRiRxJ1oNFy0HTDzS EuuCNEWuMerfkQzM+Q61zAIr8o5nourQX9niME7dK3KQUtThOUqTHgRDiReT0YRiSS5ENqZIoSUL /qb2NlDEPAPYXomP2DkRhfM5JoEXM+qrlOVnaK0Ua8xy5FoxE1d6MZ3Gc/BCzIh/57KM1QRMbNpA bMLEMKHNj07P31ycYsnC4RBPyEdxfBnlbddYDvk6HO8GPU4aBqwjXH2Q+A4TzwiXbIp93+S4bvoh 13RYyM0dz/YlxXFZZZLilCkyvvCSNWYuPjnl23u2hT2APyduhiaxduHIIt1evj07URUDK4jsHg2W CsDT8yF0BmYndw1CiZIgC4xkyeiSWCuGGG8ihF4htL5H/OKS6e0B25ZMV5ktUADg6omNEU+vPG6R 2LYgT7ej3KR1dIdkic1QGvOI7lOgkZC61uijE1DlEWI255KJsiFaNiuE9ac1kNinY8lEsRRUBa/T m5YrbDYyici4xsHR4AMkEfk4ap3DJrGYUlaLK5eua3xHfEoRhkjQXAkZH5AVlil01bKPMaJMO3QV MhAUiWY09QdpYkhAA5OagzcG6VAKSqucX26Ne/QHzPkEKyUkRvvwZyx7kc1O5pFjuEZfwX4KjTJA p6KuCW/Qxx6LzzueMM6EsnaKosKC4zncNUk1Vr1y58UxW7/t+rd8Smmjeyl7SUk69lx5duEqUtQ+ G9bKwPBVaiGo3yPL4I4PU5LprwPUZ8R+hEYAu+VzTjA6ysgfGqag/CB7KOCxE0XpQMgMdebfYOgq Ie9kyEpQimGoWW4dpQ7wmlLk/SpymqEIzSXv5wY2wphF2RO1jmJwrjs9j0a4nB4BgzxSmuaEpLbk REwdGFzH+4hlfpQILF62R+321xjW3QQ994/RfTSK7wPcWH1XWaaWrb5KNUh51Ta92K0Axpbj15Zc Z1Fdo/ayvIZ27FVQlwILoaooztIzqlxJ6NW6vphUhUFJjOqa48UNilBZsryYeNgvqTWbOtf53Jk8 3Z3P21/jN8cTuPDD7OJs9nI+b7W/Rl927AK6Ea1H0n0aSVA7aRcopARGo8zEIx8NEu8YFv4d2vMt Bjohu5EPFNksHxexF+HgClyxD4kPE07dI5M18xf6aDs07oLRdjpRwNbwY5qRVqgjQPtJBdr+NV08 sCEqGa5ml1enz+avTs9aXa2XLV/O/jK/mB09qy1y5mx19TroX1vdcQMsLk/Ky68l4Z3KqqI8zZep CpCwu+VFBbpXB0VuTxtgcXm/vKyE0LXKcnq+ygExeCuEcW0jRZmUSeUoO7WNFGVaJnac4+zWd1Kk yrELSE/rOynSfpneqzc52lhr2lOIY71Ms4Q4btpLEQvqSI3s6H/kehtL4RC2KaNThH+X7z/R38Mh /NTuFAZ/sg3t9EuLqhOtrHIp0gxbXw4aCQcFyird5XBqoRnkpg5TXgpqhILmY2CIbJQtrX5LNErA +VoBULYnD9Fv2q0hN/Gq7hSQsBd11skaNnPeBPUgsSZJHoJIibQ/HeQRD63s7GL2F4q5U32MxfVo hNXKHRPAYnIhqAXDDO6ZCbYBHtWGKBjWnkUKry/OT76cghoYiRKJv2KYPr/YSGJBnSHVvGAAdlGx HxYJHL88P/nhEuCpvj/mZyXV2cpnaVKRm1GU5E7/NgPY0fZ3pUy4Z1A7IbGcH3Pwi/Pzq/nzs6NX M+jEnTJ06GMK5GaG3DuX+fTs+dn1K852ZYT0AhnHsdptLFASzIFzNXT4qd2iDEiFURIdtFuJR2UI bvBIMG0B3o2nu+9ru/yDizrc4sCzSKL79PfAsN7pO4iFJkJVCCXSG59KZZSkIoX8Zx4fVOUbpwKa fuLhNp1Q1S9z7vLnMTf5X8JlrNiMmU8KrGDW99SPIrP8ZLLoPZD8bUv9QsUD9q6WuDugamHNs0Mq 1llX/wCuW7AOaCnCjm8uYJt+oowK2fbfKV9B9RAVNOPY51KNSwjigx1bJLht69JXI1yafZDRHX+/ efe+d9C+8bE731b9Zld+y5axbJyj/EnA+GRhuDXiEtgxgWHwMtGXYgWwxH3FwEWdzlnJsmeFIg1G xQJ2LluJObcSDOCkEkJhq0cRQhaEdrIwwraSwPFcMt0EESd4JVgdGrGa2M/n0O0mHj2v6fXa4k7O d+YYfeak6W52wRnyNvbE/fzrjeH22j+1gccyEQ1ms61QROgXZEnIMFojq/k8pUd8O2xOPDRy4bHW f6zzpOBb6ByGHehK9F4fv67xK/HtqX0NvxNj3NPTrd4BCxEnoZdx/tROq81aofxLVSNLblLKXDLh a0Ah+qqZRWTYtn1faiPTGxe9KN/hVhc3B9+xd4lQSfsfrTL0lqXrLzCX3RihYyxc5TPS8NQTsXn6 VOkQOtxBdg7YqagucqzWIQz0AwyT23K+hOZMs2ZBnaqxFN1ujyiy18uMhwiahNeRYj56T6Fs4lkB ko9EmX4GxlmzDJc+Li0Bcs1Tp3dThZOVUAPBGmRQlzBoEBEzO2f6Q9BzwDzD4XZEcy6a5RZQ6rSz GqJKnaWrgjbqIGhQVtAEGVJYQrjd6XSyu71zQMA8PlKhi7bpQRyPS8EVXobIAxw8qjbekTxqkzE/ UHNHTuuvjhEzzw+eTBC5iDzeRenUtCQIUQvUSTqeh3LwOFmx9jirtoq8C0CmF4cFyEAYxETdiJ/E JbguMeXnK4qtBnoUZxbsUYUU5ej5ZWalUwaarLMH7PjJnWTtWwkGDSOQzzx5tieHSJJYii9Xc170 gkdMA7oR7tBLLvT/13QXvBBZX2e3PaNnGLkmUXWenItFbKbRSoiCexi3ORMaV5NINJv6PB85AcgZ FbGzDj8FjszIaQZVdIfD4tSU3nBIUR1LbMBcbcCkQq2OytHQ90Z4x1zKRfeIvIbT0XnZa+Y0it6M zo/leANNegMt+Xwhp5VbTu3BQ8odiZKpnc8vnr25gJ+LzzjYLWnYKKFSFPVobbPECET1Bj18j7PH VkhAlT/dbdvrpdUPUpLlEDNUk/j0URxGeRJYvcbST+dBSCotQGE7kL8qC84eP/vhvTowPSYgo5a5 KcqxuQ5RhDgj/hISnL7QDrhrf0/e1ylas/53Tf7XUTUa7lVBI8uoQtmRBGoRzNqL6f+MVBWY6oS5 zdUcguOXTqleLJQO6klloYjNqo36VtqjPJsdX78ArVIMYunDxQ7WEQ3NBYdpK47MrixgHgC5K9Ym maTdznBxHwvQ7jS7jz8nWGJQTXKElcZdqcy4owojLTDYkGQhQL8S4xbHIxspXtP6t9kLOI8jeCef MkXvh3/3On2oFCDIJUceBHDWh7NSSs2jcBeVcqj3iEwZy0qxsniqwq8YLocw5orkdkzhLrIWkkzJ dAqB0Ggg76TkHRu+A005h3xZih+nB8J0bIfGr9UIwLy0BppRJjInXxnhikkZRRIGTRSYV5aal/FK EsV+84fjBsJeQYP87gBnPqacRaPhMM+lGGelXjHPNpBz6+Q4iRPRgS+fmvHbcZyEAdnz0nCYZ+GM QwN5PyWfEVU5+iwvDrJLLRQAD+o1LOmVSxKpXapbVIbZdN47gD4nd47EjVmsaDrp2cprDXRXdbrV HPdP0TVTutecn/mpLmcIjOXEqoZglwVRIW84HGE42yBNjc6PKR2DHyerwiBNTkS8z9MrTCARoFr5 OJT3zs9evm04yDq9OOW6XFL5fXonxr8tBAF1h/xqjARVqgIMHmR7DbTjlHbazBACfkVXrs16GaZX JSGHWhqlkhpGM6xegVWFeTPwuIHwzUPAkybKD0LvVKCDTUJPq8Abpd6FvNfbRHWvALeR4NMKwQcP tV+l+CCkruWQG4+uFxrXzcfWx2UlZa3cA+CTGvhm8ju5IJ8jPS2Bbia7i7APz8QfQNp7AGkzq6cZ 1heeY78BYbPD0LWmb5390lON9c8gb2Y9rmF/2SnHkw2IJZaf5IBzbWD+emi22VZj3xA3nD586PMr oWoIPBrJCfN2gGJQcwHbCypTueTP383mKSwDRnH47ml9fr3AUBv2YeFhmMV/sA/Cn47lCvWP49dQ hEQREkUwipAoIkNRzTT+Zrs+ymHHfmy42ddA0ggYOSCs5sk6Y815vk7RvAYk91knG/bTEX4jSAGO SuWIZ76fg3T8eWjEQoHJbsT3xGEdiV/dkXCoFbSVwlBbXjpdd69H94YNnnwF2KD3zano4pfPiBHd Y0vNN3UaJ7fS0U03k60nl7aLS12qgra5FIJRaYNnRgTclV3uIVZb8CfMat+qthfbA3rIEymhJHEe e6HRykc2qRQDGkUQsKZeMOOHA2l1YA3JXOWrHd3L0xcn52dX/XTw3mOL9URWAci30gMDLUQOIdHN VAOJh82b1F4+3KeT+Ha219uWEx/yUNL4Vwq/Rw9SWgG/UtXt0DtScpLDRMpNqvJvpXFglbc+tVuF 1jaXZrxJHNzs/faC1J8B0StZ3W7ludB2b6sg8eA7+ol10vXLl0SmtMU+dMhWipxRkm46TlBC97mY UkcrPVQq6Lvd4iiEurGpQOx28lDU6XfCTqYJBqvoQY5GpDawuC2gFlSQagCtonRWOsUXnZ+lpBlE 1znU4AAc+KOaENKXJ0+UUIpQrF5hZAFMmr+qDRN/Yjzv5oDITP4uNdwHGwtkVuJ2z+ET0MlDUzJQ uaPbmck3/Iic/KMc+WctxOuxRf00YhByay7u8Io1/vKJVYBelWUgyjnpW8nyNGljNRyqernN4yDK TRMNbQ29z5ITLHorvfDXBzkqhx2pKwphSlsT+UuqqiwrqWgoET4ohA9F9X5IcWQklHfz7sP7oXz2 2ssz3JMn6pgMWWBxqKj1YIGK+khQkStEoOwijbI5xlc5Bl+sUnvB6/ikpAMp5mNLKV7hFfJukysW L4GJOKhVOd8i+itxD/RnP8wFQ2F+GdRvH9KE1fDsLvtDv/MY2btJ9f9Of4vSt/a+vyXz9ZbM11uc r7dkvt5S+Tp1sS7Rx8NPYWsL1O+7Pfj5Z5C06Ps35jfpgi4XgmxhLBeSb6CoOCA/Ddf0oi/bbclP y8FKKQjoL2ppsMIC4f1NJT0lrjKaukMn3i9xaemcNj99kLqkcHU5m/0wv5xdpTohIJrpVwIPTybw JDJ2SctojjmjUf2ub+lpd5bWin5IL2q6IhbZpbduVzyV+4qKBeU9ufH+ioim3KQW0OG7gvW3+KUN MsZbweXKn8gTuW7ROcL8qgvAG00d8lPtLL+UFldNMgZwuujKMuoxvY3cw6PQQSyf/yJG/kGM3Jdv iGMFjuTlXwO16uFL6iON9VlMLFwYjckx8ikCpVjlvB/SCx7kGnqmUnpvE7UIlmN538Ty7WT+Cyss ZzIqWeR55q++ylDWhiXA8zNw6KoE8BirBPqjLopQWEWRb/Wd3kFOToUhPV9SrvZTgWVFava1DLyt fnAy+efCkewFtmQvsMW9wJbsBbbE/61wJGrh6AHDgaLl5C+iUzhI/8aK/wrRTlz3HpKAyneLXy6K ZBVfMSfV3Eh7KhYGR2ktQBU4HU/+aR8W34zSh6OFfIaSnrNgEnnqbOKkKU7F2NNyBoO8smjJfg0P zzf8hC/4Cd3vE1bUE6WuAeejAaejAWWjAYf1Qd47kgySmLo3Qvjf9p68qY3jS//LfIq2trAlELoA 4wAiGzuuhKr4KB9JbSUUpWOA2QhpVjOysbPez77v6nNmJDD8sqktxmUh9XS/fn29fle/Rt6ZBMFG 3YHvAmN6SHk30ETcaXVsSrtv5ElMg2pdgIQFfDAIfOlBwIQAACLrQvBb6DaIYVJ+DyilOFDtWrQt dhFwfkrl/PNrQaegH2tuWW1jydX6VrezQNMM6jqpALt98F8yiHHCSWid4ZIlxhmHIwr1ulzGU+ty bmNND605XCI05nCtXJSTQpMKlwusKHJESMwBJMRzH4mzlmc7YQiupwHuk1wnrd7QOsIFXJcDtwDa REL7BJaYTPSxI7JQUHZX+l4utTPm7XI5PrSv6OqSTDEjQ/YVRpC/t4PSRP1Yxncp6Vaie4dsUU47 Oa9ezWS8fmRMAj6ML+6k9a0GaE4TWkVw0LfAL3zlFuaDTcZA03KLJuPYL3lRUfIiLInWfr/oWUlR YzTxypJngV945DfXWmfIdhiqCf+YQi7uY7H0wQr78Yd3P/KUrv9Jk7fBs4UmwQZPyg2tpRHy7etp 2jSygT6Sq9G+rwxZVs5nNjzK0v5jesP6NvS8r6y31TtT6+tI9wg0UcDqfEAQOZsQ7fJcSCc5G34j CcrpV7+feaO2j9AXtd7tQPL6Hn50d7hW3dDvVQ05AiImZCTXv2romofxMOIRZK+hj8jrlE5rBUYo fJTa8h83wXwPcwn+f5VyHdYlydFPlPsoHxTeeP7JZe+szrMig6g6i29FEw3pgX51zdMGuMrbtYKG dbmyQAmbpRWjjrNIUYdgHLWTE+Fv1hxVgoPlZl+VF+N8jLCfyfSgZpipctYJcF3aI0W7/P6+3WF4 rooagEqvmXrabpKr7t7s23FbC/TYm31vyNesOtrdWEz2DeRU8EEdcAhUlwWYzlD7I+VV5rwBHoio Rkn6MgJSkl0QDN9A79QJ4Q1NajTaTibA3J/Fa4Fndj1pBt7YdEDArNz1XRBsgCLsEl3o0I+9Caft 4F8kFJY1v0kJnoL81UGh6c1I/mXbwL9lNKy+7y5JzY1b4kxj/FlzEt1mhINj05zmaAnnj+l7kjLm iykHwVg/03pJrFXz4/LXWRxtSdLTuu1g19AqQHaoDKTFt8I3/8p88ylJuCjW8i6DX4F7XqgU1YAZ fptxaoLfp/gxwY8r/PiCH2P8AB54IR0VcOZNPImimXdJK+snzFYSgknEh02ylNGpllG6cKOZRB7V aNvdgiCCIDofnEuIkTTWFAoLsTzAJ2XEawJJOas8ORmdtbBFuMR1UkZJwlgyRujjg2m0uHW+hNN4 YkjaVKch9yBlJ5QmTqmSdqXqLnNJjKKG8UXVLUuIb0VSkKJjrsIRPDj9EtN5FYk6oMNm2LLzI9AV qTG/JuM+WmgbkHbgGWTt4PWNEZDMsYWtYIe2Aix6OtV0lFzxaeB0it1yT71jN3gA+FR7pbO3OH2V 11cH5pwNjvJHWE8q/9j1U7+grin/0i3N2ytNnSP82Sna6OKrHA9RKDXKrw54HJKZ0W4qyeIBQY85 LJFnB/4xIHzwi/WOFHjwLp3NJl7uDZ07DbKns4RiDWEJjlcBmTKn7Cl7ytKn44mJZfmNVxeffDIh ORzPTTn4RCNMdnoUAU5dbiehg0qTySkqUhU78WI1yCeeAfedXZBAwBmBHafqD6xV83cQwsX+AaVh 5wL+to5Usr0RreFcPJNtU30aZMYTkSwLU959UfKjYELiaEjMPRVpIQTglVKcNuGBpmUWYL15b6he o6FoC0JqgiBUzxp2uUrrBJ3NULWMAdYKATtGF4vpn6hAN9R/PMgHKMWjoStVDKrPlpe0aWR3tpsy FVfK7TPNWJK6y/ixoumNFSlcVlw2UI2onTAYmGW0mc82y8oy2WtmQiQnLXFbFLZVw+ZFeWi1d0Xe Y9ws8B6OdqiMWSnmx48z5MTIquoyEiSNNwxKmMlaOKwyUdRGBcjGCBIYXzljTWeq6najc5RuF1Td fiO0z5gvc9PtIUL0uy28JoLQV4+IVjBrjnpJtvPA+v6vRbyI2eqth6GpHgGBciytqDHuBFpVr+i+ cujq+riJBA4mI/o1ZjAV1e/r2Qn2BuwBYhL062rSXgBEhDtxaz5qNJMxd1p1nwVd9pUX15cYsmCA PTb8o+TEdnimYa75nVNIlVOYxkK6DtTmJilX1ph8JifUbaPhZkIiW5618o+nGfLnaptmNKdMOanj qzBL5nRhKq2aniWzc9XkvM7cvEk34wRy9lwUbLSAJEwJfHO2V9mtXe8d8e5qkGDLtFwq5MDBbqqF hHTPBCs11iak2ZcDOmeIPq9kIiOvnwnFmVHns9ZtvBxuZYKLxKIKI4/b+exsPPis6o+AsYCZD4yE tai6tlRgsL0CdsygoKqJRr5iwEICLlw8e9A1/qJVkuEvmH5qPVAur/EbrLpO/i2UeCXek3VtOIPn 1BDyCn1sHUgA624bJVrZ5R5TalPrXP0FZCt1XlNsRN7g+HAimsYeyqk/+q43L/ludi8y4CEbJAtI u9YLkZLauNFCMiXuGixB896zj1PO0EbOhkJdiz7bJ6M6HyGJZFB9kJHG6KrStHVXL04G6403JZFf kxn5kp1bNUp2bkPCD+zGLeW5w7Q0DX2cnornb7jVNBXlCnauphJOxO1TyOXs3gYuOYYWwYYAuZq0 SV5ip3mjDDwMrWx7LWKSYBskIYBP0Jdtsvhm60hndt54qg7c/WBXlWzrKU6WcijCUNitI8zmUFTx aShxPjj0PG8Mb46MJX3+/uH4NcZlOX79KyE611uPrHziKWH45ZCvq2nbSJGnTQnNosqU63A5uTWu kLD/eIonYJWru/Jfow8jQk+F+6GqUljbhmXukW/kRo9Yb4lHJgYpHZUuo+CNKBsl54vZIuOBx0eR 04Bkv8TITmQwHsaAFbHYZDEO2Wwz7rZvdNs8XR271eNUY3ncU7p5jKdXTJzsq8pFa67pnE97S/WF 2uu8cKz9zS/q8OAlKCwvnFbVmxYq9teUB6QSg9SgoNd9BYxKqYKOOy6Gl7DFJ+2ZKKpxXgOd4PQ6 8Y2eUN9kGddy8cy6enkaPj+P8f6kHkuOUWdlWFWgxZoVJcYZMSPp1TIgKKIaKd7q1OmUYsOrzuFq kE2+HFy5PxEWVyqTXGdv+s3U+LTbmovXR1oz7hVTLuwfzQM/ykXWWQmgqqxuJPbxIYkHMIb1+kPN 2OFeW9r/Db3avDEw9V9jGJbKUSWClEbV4TmBTQ+0QfOR7Y/OgR5o32+8ICR4QDwyWRKxxUkWPckG fgrdJA3ZlWxb1lIDnP6nixnHrWMtCB2l1MeW12R3ISdqt8qGaGxQ4B7+p67jbOZk1Eg07HYl+cYk SsJLSHVC1PDLM7GNODXgwbVDIyE6Lrlv375+S/zNhJhXHGgTBqE5ELeblh1kTds90N847kzk13z7 RgnmB6ZZZjYcWS0EjgX7HtFwWH8OEXjaRcSsIWx8daKNZr4PUZiL3HEDEaohneFoyjxgngbNCkkG caJTkvi9xnPN1bDpnlsLlXGwrULHxLm8DmiZM8BOwT4SMBPzA37oxq67je0gDwSzoWnDQXUlidUC FqBDehILLfGhlad3T1BdbaaAlj919301ZMHdxnWbjt1IxSh2h25hVhAWBsuZYodFRQmmtyUcspA2 goNMP0XztNw/WkjI2aHpGDQoz7XEgQoU3dzovchOqu2N5dM6KlfNEd9t5fnNzYo57QmWJ2ZDLtkS S+cJ/FB9mRQy5ccwDdYds4yqqNmr2LICBue+ay5osBxRWBVmbM0bRyAqaQR7+YXduD52OFIE4m7x 2oYBTIvezjfUL0L2RZ3x53T2CTXB6GuM5R8KwbmNg3PJcRVZGLd0Wwb0R5N4MOdIq/p884BMQZQ0 OMdjetP4ik0bui2ezt/te2/uKWcAtC5DSJ2rnaDl/rdpJjxe1kwxA5tM9n8FOHmlQyEYzVSX6cfB nFvC31EFVgjO1W0+0vExwtVmhN/yjhCg5T1Q3fKyntosJC0bgX9VxW6Pil+JVcOIRgil39SqMUic nC5ilpHrd6QguoGGqEJFdG0dkbDEvrpjqZqoRE/E88/2hSiPZPmFtB8Z+lJ5rUxXFCh1AmVRx1cW rbkvrHJnhXbHk8Er1EffWpGk+/VFAYAKZZH4K7HSp+MpfTpW6eNNQerzdvs2ZP3aokm5ZELnjJnq VMkorohyIwnlugLKNeWTKvFkDV0iVL+KL7hayoV8YGbIiaIP+DcLPgMkpY/jTL6agUXmhQw3kOps 8TyNQh3F+Eo+rDIQsMP56HACHyx3JkhZxcI/dP+bzoOtTy3d+9QdbHxXJ0vbvHTHWbGTBLphHCFT h3Es8WeU8qYU6dLgv51NshDQMCpXhtRw0viqn4ICHWsuV63LrNEMckOrLZASDqRiYrdwLbKWy06i a6r1w9qL1atUy+3fqOK/bRXXU/OXKuF11QfFwa4yBRAhcfjdqVqkohuTJepRNsvVFin8DVnsr2zP Qds89agxwc9jwCOL62K1/3oHHht0D03dN7oYD0pZuTQgOGacmTN8rTJ49r7V4Nm7qcFzDeHMYb6b atna+nGO1oYN9MlSKFjhDgwSSSbu0HR0+2NvC02s5OxTUh/Gyw09uxsATzsBOB7Cm0szLzI2CfhO dMm1gjVrj7rRgbUa1aXPZ2nuhMMAOpPvz/Yv9+MvV2ejZH+yn+6P97P96f58//saEPOH1osArzqD Pa6uz9XTDVCP88f7cuSJiXFShxoANPSkOaYqWWeQdVpKhtHnmLoGo2dseL7VdRdmowTq/PG+ia66 vP4vkJPP1Px335yYOdBxOmmyUDDNfqdY9grLYmA5WhR0uEW+os/k8rJnWFZKYDYLRsraMoqMVny5 1uMRlqOjMFLQ4o7HX4oVJY/1NryyLy4xqz3wsCp7hp3MjmMrck4RsNb+LM864azkDrIq7xjzyumS VXlTzMuHG1ZljbGLyX2Zu9i8t6NwAVl0AMzdkz78Plg+EzoyE7rF6r5/vM/7CMXL31cS+hEQc4/O ansvapbxRKNrwBzGeNMAucTiDYVEO5AWEcWkAQIhbBevSmz4YRi2SNtEZCPhy20yuoqA3QEFlH+a r3Ao3x5nQ1lPr3qiEJF2dIYO6FGkGX0pAIVbCcOxmeCv4nd4DaidFVALQOsWVA/3OPtz2//51P/5 HUmyD+25PbOknoYoPNXBKQuVPsRKbXMeYqXez6f+T65UKzS8gUvoBLUXDLNBrp84iHyprNwPpKNs o5uoG7269Hy2ICwoHDpXCDndceRc+uKj5WnB4S+ehR07B2DLozpsmA0AGiD4T+PzQY6hBfQ81lmM xch0xYwV4DSLiwDck5iV1TNp0mspnWWJXze/P9QGHlP11CwfXfZIdYLTrKUV8uQxhdB54rCvrEOG rZpzQqtxAOTXkZOzMC8KGCFw9Gs77JvIKuJj4EBZ0jNEipf1DWUods5kWefok7ullTKZrq6S3xdr TKtrNCenSyuU+OJOKVuZsx9atsfbJSWkhedyFhQ9LMQXwIPbVcj6vnVr/jbghVDQ8I88X58K9Jwt hAN2ABBNt8xhcNzEZEvFqwDnyXjMAeu5SfLqoXG5dlOhlTRL5eeR6u0+CZs9Lms2z0/IvhcePw9b zy3QXKdQFaqCNlN9YRntqOwnY6xcZt81Oek6K8nKtrbqvHQDGedlz6gVYCUvO/YsyfzGopuuQPeN g2+6Cl+5yYtya5kuyE2KW7eAwGctr/H6c7TBTkHFJZ3b0JyCXm2id7oWnCUYLIXktOOZ23LD8fEX 54DWQQW2xhhdzFrabc9CrJdXuYZ5yrr2OvViYdNbz4Juv3lTS7rzJq33rqG7ERbLR1VVoFE62vbO ursc7zVyoiJPrfJZGyLwL5sBKzDxZoTbF3c1J5YMxlK8Qqy+eZLcDq3CnNGXSZZtEF4lpSWrN4zV ZSs3kGtWW76hrC5cucFco2j1hlNZWIux7qbvigXJ+I9hrbizfy1otZZfFAav/4L/5ghpyV1jWuEF rxI8AMUZ56yAp0TAHv6ex3n9+M1z6KjjX394/4LP+TTVu59fnuIVIvj3N61/lGLFKHYMRzSQgWil I37y6VfUcklsTyg0yBkmHTDqmCN3mA84Kcpu85dUOlhdJ+ou0eI2w0jvfOkHKX752GKSgiAwXOQo OKLhaMBHXnV4kgiVHsidYYStJM+Ac0wm4zmwhBQoFsYTPsldRa6zxZtT0BWFjlE1sQiBIEOfQI95 SFjlQAo9EGN5hqCSmU8sQha82nqStdR7wIeAXMaDaSbh8x7nClpBbjIXCZ7amQFyIAtjuSw+vyTN +uAM/WGgAAbvjAjGuxjoNnmNZqoGy3AwHYGkTAHgBpeXcsv3YppcqXj6sUYIjeMcuphRoHv1Li5H +USPG06dty+Pf+Th07NY0Tz7Gl3jPjucp/b4MtlLJVpoiofHSQsj8TdGs7kJvaRZ8jr6x9cRwEbj kuohq/QmXvTYIJMazQVv4nA+7XIkECvmj1U5OXlx7Cx2om5KyVcS692iNe0gFmq1G6l6pP5H521I e/PZArh6jo4DwJsYZJBuXB6QhhtvxhpQBBI6vyV6HfJYHOWLAQZ8Iwg4iASkxtqsWhBIle0X1Evq 6Ai1LI4NQ64PtAcc+KwDUbmUWrjb7R24R9lT5yj7DS4lxGFvt/mFk35gjh4TGZabS5IZBdfz7ozQ x4vFtvupoWMPwpPl81H62TsLqO/24fNaQpofuQflu72Tpqqtj60EhuaIxD/tJaeR3Ub2NWg7fw7a bbdyQ4m8hjlXP0n7JPDTFC/LCBpIkaNWtJAvG6pu4FNuX3s9W9pEtKvKPUSlreVqVjS20FoTjWvm 3HsiTaxqkKiY9bZgBO0tELRLhgZFaBK42203RGMyt9o+tzv20Kr5ePB4Uy2HG5Z7eqKCM6pefRxD ZFmFZOVa0ZY2tgTfldZ+TSDrACQs/53BPiqMrPS34UWKIwsDGz34//HAok1mW3Q5ZVtCpLQu8svJ XdaBRs29vb0HnZ0n3W6v96Db3d7tdnYfsLmzs733ZPsB2j53ettPuru9B51uD/I9UJ27RKLqWaDS S6m/o6p/4nP48MfXz9//x5sXsM2O8Opf9ebDs1+On6vaVrv9aXsEiyMfK5wRaqfVUTlw/KiInU0H k3Y7ntaOokN8iX9g6hwBETu8BE4JSuTpFp6d+9ivPcfgJNN86z2Ar0Ucq2Sa92sYsaSNpQ9oa0T/ xCSbbT19uvvdVrdmYeGq69d+WOQXuI2b4sfPXp5+AJakkPOnF69evP3h/eu3bmUvZ1+ASx20d1p7 T9Tv8fRE1X8DlnH2KVOv3qvdFjAEHxrq91dxno0GaXzCUPMkn8RHsjAO2/wzOmxzYw+Hs/Fn+JPn RxLUSL1Ea/8wno6AK5//CSXyI3U4nHOmZ8gn/zyY5xj58hA6aR6f9YEPSyb5bH94wS/+fZG1kuFl azS7rB2VJB62B0cENyK4zMaqN/NBDqzkJMW/bm5dN/SW+iWZLq7U+3h0MZ1NZuef1fMYQ7gEWL4c fMb48j1YmVJPeoTpyIFz6DLTPjI2aUMTHsIEkQIj8VIY+3hOcYHxtgqQHSLo1slgmEyS/LOOdE83 WOC2Pxl8RnZyyhi2Hk2HWXoALH8c1BcJUGDqQyOfjUJKPCFdGbdIMQQ8GhEmeZJO4si54QqlEMSe yp7NQYodgszhaL759g+y3EqC4BUhXn5YTYz7yZXFLL54xagXsQelo9up6dPfqO9AQMLew3OA6Hu1 zwVoPCQv1+x+qpIfGwphEklXl4M0leD6gEskuETYJvFqgEzyVjC11a6oTpKkOup01khIAy321OjU mULhiILYmPEhh3h6wWIYIqVHjk9LogMcXWUPXyJWQWA7uM4mX42nb0NuFTv5Z4wOj4cI7JpDdcjL Fy1Z2DVqxGWMS2vZaGlA5Fk5GYdNMdD1RjqqHWWzxXxEgKP6R9VtdVrbDadv4P/5aKS2XvfU1o+n P736cPru9Ye3z19gQC8dscxAc9epgxUlmDZOFYVlSi4tOt1ut12KkiKU4B+jNEmG6O1HEvkne/IZ xmO4SCYWEZkLx7le/rMhOkPFso5s83AT2Idt5NOn1p/xfBpPWrP5eTtdDNsTXOdtTmyn8QwWZ3s4 mk/agEC70ELldvxoMZ/juVfTvN6y9kU9bN8/vYGVc2BrIg5+8A1Rv86ckClLSZwu21Sbd2pv/3f5 P39R3B2PsZz/63Z3tveA/8M/TyCd+b/Ok3v+7+94In/QdXhEolSdyGNY6iXMSMPnP+qaARlAtyZT m2sJ9xG9i1OQ/tGLpbdLXEdEO6zGSLRyTMADiruC74h4B/f4jn3U+wasA9+titsY7t2otWZ1Czqp +h0CUqTZPCHx3fN3x3qbL+Qc+AB6lMiaM7yea+a9QyIVRWZ5x7z9IbLAEgBXCx2VcXPHizlfUhRj 0M5orSxi5fM3H9wAlagaArplr2VoRGuvzZ3ybZbVoyi4VdheKRxd78rg6I7vCI7u4lLg6M5uAY5u ee1vdMf3/Ea3vtg3uqubeKO7uno3WnnXbvSNl+tGt71MN7rL23Ojb7guN4r6d/lEtKqjiO9Fz9QF tAGo5mfbEH24IGuQdDLH29ZaisQy21i6WAuYdDy6lZHZ53NU4/u88tl5jGacWovKaC8jIORdDaAV 0fpUFg2kazYwP1s8qA/0vRKAwW8YdxNfAYEw5BHhImGIcvM2c96Ww7dxOm0IzXqD8I0cfHtPet2d HTmu30CkMbZuxB5IAJTIK99bkDstFdNKvcFTgs1uUgM0WlCKTM8L6bKdDRVdhdW4EmrdtwU0AoEu 8wL1tqJnnzVqTXPV4791VT5PeNbatasJspOvZ/JFhXw9FsIy3BS98bkqjk+TwqZGy+sH+l9atZdl 2IxsrdBVX6II9bUZnf0oyOg63J/2awNAWAijFUfDso5RIWZ6hwLkeEZvjZ3mjS7wqEGG0091YUlL PVK4xVsg7GPo/dar+b1RNholvexsj8PimsLWYIzl6JXwSkSedGeM3ftdeKWiR+eMuCaQcvAUvcYC pZ4x0NJZhKfwDQ0zTcBFzZEFdlw2AOjJToMmAuDRqx5vzGF+bpfMOj9Hz/+5U9Ixhc4ACgrUU8zQ JTwL9tXMpX6fqElQQJ+ezsOeK+6oZDm3m30U4NDBSjDedlS3uRqqQG99RoLWuK1W6O1WFhVJGUKY DObnzPeyYKupWJ0HQsggjYlDK6PrgGAyFc4yYGWwXRNql+VLlreL2BnCZWqRAOBvpE+jYXwOfWRs tra/mmZAkoxcAfQ1rczvOGdcTVhmXM1U18ytq2y1mGtnbkpjmZaT6RJnySVGwgDEImvMxG3qNuQ2 Kid6q+jtWRm9japIjM9BdZGBWkJ1I52xxxk9DH54++r41U/76jjXehr0FnhMB+RSECISkcBwckXO TauxYwDOzJSlozPIzskSDPNQhyOAyH+r849mc5LSKB8FKlfD+AxpHYhMU10zc15TdnWJgFziaoNp MSrsI5YLrdhF5sQOGGnEuaz5zMnepnahukl7ysTjlrK6S3angZcR9Bp0/ijn2U4IEjzpdcsg6kKf 5oNULwi7mIBWR1R4klA4PLp9CFk1amj0zuissSuy/UgM6x2MzFjgQuVlN3gpx0nkba+k6Efzdrus rH29E7xOvYp3w7d+zU+UnGWfXfoI7zkv/CJPgyIWk+/CMvZVt2Nf+Qh2u84bv6Zuz8fd3GKv328X 3gcAdizsQuFd711Q8Am85BgEy+rfq8gVAHtqslXh8l1JjmCKYAdqB82VmPW6K3IHwHuF7BWY9raX 5NRA/6/Vc/fP/XP/3D/3z/1z/9w/98/9c//cP/fP/XP/3D+3fv4XU+zXbADIAAA= --=-nk28ucPGOcJf3N35PIK4-- - To unsubscribe from this list: send the line "unsubscribe linux-kernel" in the body of a message to majordomo@vger.kernel.org More majordomo info at http://vger.kernel.org/majordomo-info.html Please read the FAQ at http://www.tux.org/lkml/