Return-Path: Received: (majordomo@vger.kernel.org) by vger.kernel.org via listexpand id ; Wed, 30 Oct 2002 02:43:23 -0500 Received: (majordomo@vger.kernel.org) by vger.kernel.org id ; Wed, 30 Oct 2002 02:43:23 -0500 Received: from 167.imtp.Ilyichevsk.Odessa.UA ([195.66.192.167]:56080 "EHLO Port.imtp.ilyichevsk.odessa.ua") by vger.kernel.org with ESMTP id ; Wed, 30 Oct 2002 02:43:09 -0500 Message-Id: <200210300740.g9U7eOp05957@Port.imtp.ilyichevsk.odessa.ua> From: Denis Vlasenko Reply-To: vda@port.imtp.ilyichevsk.odessa.ua To: "J.A. Magallon" , Roy Sigurd Karlsbakk , Roberto Nibali , Manfred Spraul Subject: [PATCH] New csum and csum_copy routines with boot-time selection Date: Wed, 30 Oct 2002 10:32:37 -0200 X-Mailer: KMail [version 1.3.2] Cc: linux-kernel@vger.kernel.org MIME-Version: 1.0 Content-Type: Multipart/Mixed; boundary="------------Boundary-00=_D6OSJQ8ZNBKZ0908PKYK" Sender: linux-kernel-owner@vger.kernel.org X-Mailing-List: linux-kernel@vger.kernel.org Content-Length: 28529 Lines: 500 --------------Boundary-00=_D6OSJQ8ZNBKZ0908PKYK Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: 8bit Here is a kernel patch which replaces compile-time selection of csum and csum_copy routines with boot-time one. This allows kernel to use fastest routines _for given CPU_. Checks CPU capabilities before using 'em. I tried to generalize code so it will be possible to adapt it for memcpy, copy to/from user etc. Theory of operation: I replace functions with pointers in .h files: -asmlinkage unsigned int csum_partial(const unsigned char * buff, int len, unsigned int sum); +extern +asmlinkage unsigned int (*csum_partial)(const unsigned char * buff, int len, unsigned int sum); Pointers are initialized to default routines: +csum_func *csum_partial = csum_simple; +csumcpy_func *csum_partial_copy_generic = csumcpy_simple; After benchmarking they are replaced by fastest ones: + best = find_best(bench_csum, buffer, csum_runner, + VECTOR_SZ(csum_runner)); + printk("csum: using csum function: %s\n", best->name); + csum_partial = (csum_func*)(best->f); bench_func.[ch] contains generic benchmarking support. To be used for memcpy and copy to/from user... later... Some thoughts: +/* Set this to value bigger than cache(s) */ +#define bufshift 20 /* 10=1kb,20=1Mb etc */ +#define chunksz (4*1024) How to make this picked according to cache amount (I mean reliably even for future CPUs)? + char *buffer = (char *) __get_free_pages(GFP_KERNEL, + (bufshift-PAGE_SHIFT)); hmmm... using __xx func... what is 'official' way to do it? +#define ROUND(x) \ +SRC( movq x(%esi), %mm0 ); \ + adcl x(%esi), %eax ; \ + adcl x+4(%esi), %eax ; \ +DST( movntq %mm0, x(%edi) ); +// we don't need SRC() around 2nd and 3rd commands +// (exception, if any, would be catched by 1st one) +// (FIXME: can races against interrupts bite us?) So, can page disappear under us here or not? Currently code is very verbose at boot time and runs too much benchmark repetitions for debugging purposes. I don't know of any bugs in the code, but they can be there. No warranties. I gave it a limited testing so far, it didn't eat my disk and didn't drink my coffee :) My dmesg snippet shown below. Patch and test suite attached (bzipped). -- vda dmesg ===== Linux version 2.4.20-pre11csumtest (root@localhost) (gcc version 3.2) #14 SMP ... ... IP Protocols: ICMP, UDP, TCP, IGMP IP: routing cache hash table of 1024 buckets, 16Kbytes TCP: Hash tables configured (established 8192 bind 10922) NET4: Unix domain sockets 1.0/SMP for Linux NET4.0. Measuring network checksumming speed allocated 256 pages count = 34 count = 34 count = 34 count = 34 count = 34 simple : 348.160 MB/sec count = 50 count = 50 count = 50 count = 50 count = 50 PII : 512.000 MB/sec unsupported caps: 25 func SSE/MMX+ skipped: not supported by CPU count = 79 count = 79 count = 79 count = 79 count = 79 SSE/MMX+ : 808.960 MB/sec csum: using csum function: SSE/MMX+ count = 20 count = 20 count = 20 count = 20 count = 20 simple : 204.800 MB/sec count = 19 count = 19 count = 19 count = 19 count = 19 PII : 194.560 MB/sec unsupported caps: 25 func SSE/MMX+ skipped: not supported by CPU count = 35 count = 35 count = 35 count = 35 count = 35 SSE/MMX+ : 358.400 MB/sec csum: using csum_copy function: SSE/MMX+ freed 256 pages Measuring network checksumming speed allocated 256 pages count = 34 count = 34 count = 34 count = 34 count = 34 simple : 348.160 MB/sec count = 50 count = 50 count = 50 count = 50 count = 50 PII : 512.000 MB/sec unsupported caps: 25 func SSE/MMX+ skipped: not supported by CPU count = 79 count = 79 count = 79 count = 79 count = 79 SSE/MMX+ : 808.960 MB/sec csum: using csum function: SSE/MMX+ count = 20 count = 20 count = 20 count = 20 count = 20 simple : 204.800 MB/sec count = 19 count = 19 count = 19 count = 19 count = 19 PII : 194.560 MB/sec unsupported caps: 25 func SSE/MMX+ skipped: not supported by CPU count = 35 count = 35 count = 35 count = 35 count = 35 SSE/MMX+ : 358.400 MB/sec csum: using csum_copy function: SSE/MMX+ freed 256 pages VFS: Mounted root (ext2 filesystem) readonly. Mounted devfs on /dev Freeing unused kernel memory: 140k freed --------------Boundary-00=_D6OSJQ8ZNBKZ0908PKYK Content-Type: application/x-bzip2; name="2.4.20-pre11csum2.patch.bz2" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="2.4.20-pre11csum2.patch.bz2" QlpoOTFBWSZTWVRpWN4AF6n/gHwwAAR/////////3r////pgHR1G33G27pzFXVYet5XXO93RYPPc TgWdu9trHt3PbIF6PZupAA5sBoEqrIJBWITYaCqpQCVr3DEoOsqhKEEEwgTEY0ENKfoaU8TJpiZJ kaDEyZMnqNGgCUIAICTCZKfqTGo9FHqe1HqnqMDU0eoDTaED0IaP0oGjTSIU9U00/VMmjaMoDJoD BAGgAMjQZADTQJNKJEyZBU/TNUzKep6TTJomJoxNPRNpMho9TI9QGg0AOZNNDIAGIyDIAaYIGIBo 00AGQNAAkRCBAAEACNSNoyEzKanian6iZlNMaT1APUHpNPzJsiID64IBSArDyfXgMJFEhIKmHfUR Brfv/6T+/ap5iU4iZhEs1upR5v6X7yk9EiNpfr90+f9J5jv/o2nzoc33WiJHloNKKtpTFlBF/t15 wdSaLzt0ZObozUEmND+UQydGTJk9NwmKulmcZxM9kCbkP9jrtkP4LEigf4xHq45/7oXVUe3odXCM UALmKg9pcQHKLrBJ+1XzGX4qK9KccQeOfF30YdcWCuFmMxcLjvcUgNl/elJyNBCF5MN0npH9LOj8 DEiCCDCJh8AqMMBSHagiTCS2qHM4SmCiIIgqCMYibmoQE7b5hihqtkOQpKBYmiBYCxKJESC5xQxG tiI8/a3EioL6NFXa5rp8SL37fdW+O4Mm8W5nqzjKo0YtmwWl+hCbVh6ShxPzOOq+Pm+/GaNVyIMH h/zlnS/smLl1gySZGxhXwxMCDG5u5cFnDdTQ6zleBOHTxYOv5oa+bMHC+JUTyVrBzSgwiJUZOj/k N26taBka7erejkxW7bncQVJODNneaqGFWSmVZ7/tcYHPdgWrb2OQoMkJXsu5ttcJz8510rwbv72X KkCHVux7P+xNLFDgeN46DQUhA+g4yh0Y3oy0lpMwzfBVJKhzpNwYC1U8bUiu/u2c6+WWo7t/PqTu VcdJ/n9Fq6NhfIy9cInAtzd08817JVG0wwnLHhsfwC5ltC6Gu6bzroLEpFIgP0D8XujQdNJo/I6K rBqps23uux8CEVWhtmmNZLFMLuvv3lFUZaX5V9XoU1LfjuZK3PClUS8gPrdm6QeY9wgkMmriwzkX Pcs1l+tuSUg5FXk1OfvkhKMMRkmnGs7Od5nJwtGJb16lzsKqBpsGwdY77j5ql7R0xCtx3CgDEeO0 +k7sTkgK7P1J9SOdpJK1lVTUJyqXmrdZXBnbOe7mjj23EKUQR+0OLDk0EtCXw9XDx6rOyIQJENqx 9ouAcQyRE7cmRBE8+aYh1HsG4Mn5/HuN7FRRgczD1+rrqtfyh/wwKL9/XJqMwr8/iQcjBCSonFJE YRBIid8xdKWB9p2nGfcfQdmrP1bEKT27dGokgPqTIcM7/E/rXKKVk7C5DWOehREqBhBk7BOv3Bxu 7HGpagoEGNfP0dQmctgoomJwJCIh5zIaB63yhgmCi2iFokUF378REU3bXZl9hmHpN8ihYsI7o8vN nvW42wt156q36yo2WJgVE0CO4ad3JXTQiGQS32TTImratTXsvkOOojMYTXKIg/DpuLdIouiRVNFC tZoH87QIn+AhckU+Xz0sWP3F0yiJyTGY1ncz828SL41/clUyRUTEd0IZsxJIryAnSrDhGdRA4NyW SAR3jQT9uCRYUltUt9pW5zm1GjD3QUZVkefxiLek9jUVVJYKtR+02mU4S68+FXRtFY46EnfNpKdI S+7rZ8qXkYIaWYS1eSusWbs8ukVoWIEcX7IX+PflaVRmojhhmhbq+ry8R636DXsHl0M4XGIlLt+e en+RWQ0kNDFRUN848l6liGqWnSC7PP9n1nKaT5KcRTI6zlmZ9vBAKxGbAvJZ0nwEG5CIYtJNWAJR L0EGKPEGCuTYa85RmtI3MBiGAoMixq9s6Xfwt6q5qfT6LHr1rlv1C2sAprYuLe42GVLtunG5q9Ul k8JXslAt70Qw/cAwigNRKTbrafnhdej2VVw0JYJdKg08TDtxUVc7kRk2mt3yV+bymnO7PffHll3a 2GEXEGsrQrjeWgYHn+Sqqqqqv1aPQ/IqvYquXPq84Z9a8bMb1wM04ve+PyD4mY/TdDh4bvSpcv6R FazFMnTH7nfs6+2HeGUn5Hy62LVgeMkKR+d0QxOvOTE3hQ3dCW/PlGZ3i6eV5724OPNM1Nc5KiGE DjGbc8uyL4YSplz3KShhOSxoOMLUmUfNYqnlNR7190hvbzD+siDD18StNNpd9cejLOYse0vPwP8j p9XcDoKaZGOBgb/ChNURVNpIRIBkPGIlAiZfXCpnBUuzpTy1cYqnEc3zVegkDqpzHSpD3jeamEUY MeP0YRaqB9cVhFKigYqqTuBlSFO4KIhKxEmDAZgSjBOCfkE6xDIovXKBBZL7dmEhiDxlg4LhtKwW W1BARwA1iOGEoMxISUwYMSRDDJ4uT3vmVUTu9jyz2w2nZr7k4GP26+TMI2wfKg+DCtBSZ2nSglQY eEkkkUikjZSppJKTTNJFREMlvC4ZTjJhzQ3YGLLfotfe376BiQyTYOZHDUD/2Cbt9TcwwkvYYw2x 4S/LrGeQbSSnPlepF1ucgUqKs3UBWRI4Gjsg5x14aasD3tgn0eS72oaLXAWBlPXIJu6IaXLNaVJV kGfu+xX7B7vMZcubFDHITUJYTVdqz0zk9npr+O1ewi7M9c0CmkPoM+09B3+yDnvOzSGXag+915d5 eM31SoxANtndAQDaGmzkbzb1dmPIH2Dvkhlx7+PbcQTysw0mrOm3aazx3dPo+E4eWhVZscCYpaS1 ZRC1BrhMCjsvfDwSBQ7ubEmCI+JCcivsHANRjIogfqTaiyH0hCBNhD5QsAnUYChIkNgUh1Hf7+JI TiInxFjVGyx5sXAsRko14gocQYkANgMAOHm2HTPOTf0/Zr8xoSppzax6TnSdtpJKVlat9Hu+vKKe cKCTx6E4omx2qt5RUafxkbTI9Nyyp6Pw628BIWjOF4yHcKBxwf9bu06aSYycVybYZ0FlJA9/wNq4 lj3j3o+jFpgjuU06hRSAXJC3mLyNAhDaESxLFXIdZ+sMdQ06QcoPY14tOi4pUE/HdCFohyReN5UU WrpMjh8IvAP1CHAvzCUjlKFRCIPYv5jFKfJ3gIUwL0UrwGiIyCnudOm/aeMtKX6Sc4BI6tuQ5hVU o4KnuhyAQqIbDz/Il18F7109uguAPi+7c/1mQzSFgzAIZmQIZtNjbbGnxBqMe8qrc9hoTQ0Ego+t 2cmv8HluXXprq8w2wdDkPbnbhT1WWO2sDFZG8jBpO3TlKhPxYR9lGLmmNvNOgTppyfJ8sYQQMiQj lEjpKS8LCev/eqFKQ0w7fQe8w+oPj1jG39599b+QxjGMYxj2hcHYK8GKo5DsJEx+2hBQC+Dh7gRX GgxjGOsxIxjvBE4gMpX8jVSSjfo5T8hJ+FEF2CNwuIjU+KLwf50LB5zAMfq4pziUT7QIekm/WCHL MnIIRLnQiXnoBy65d78I6SBBkgiCzo+TWg9/6fivHCAlUSYqnrEq3fabqQa9urxzTmtfmML8Db/j JNhaNglO1Wmm5iXkm0yRlgRxh8qSHwSSZi4qUH6VUunrBEjBEUaFs1EkIYgaSU4IMPRKlL7ti3Qu 5VQg1uCwzp0BMmg50cMgQo+Cep5msATQnF5Zk7CvSQx4cnPgMtAW1bgNRy1VrhBo0KGjWAh5Rtz0 PoAQxKTChvja6pTffdm3smXmig6ooWEZrrhOsG8mmBXoZqNqioJWtjEeI+OEciEpRG9ICT9qQQji KiUoz+ZSOhq/nhKEnMqpjkSLj1LOVLgIYznRlKxVhYPFc983MsI0crjwSNMckCL7jYFLGozFqudE fe3rPCMZUFaowvLhveD1iaeh24BMM9iqumY+hBGuJjMRCqtkSQLCjrWoQ0iGbBipCetqmT5G7Wso OpWmA54CfKIh1ulJA1DETLOBGxZ5NHArgKG0w1JGd9Pwwv1tfR2VerlU546ByXHty9VqvFLSskx0 cMxqhXweGwckh0loS2JYgYhlELbIrer3Fvq+06j5WmbWB0ncfVO8Z0NFR4jPFlr4G1Qc9JdKpV3+ vEvLBhY0T9+WP7Zim4cslv7WacYlqZ5X4cL1GZ560od5QIRZvKp5fEZiqTICUDgLCfAw+1AOhDDK jS+lwhoBtMBpmPx3rEQdxAVCiKbfgCBEQPSIHeFiORQNSIa0QPgfCB+JpPA/hEO8Elj/iB6WQlEC ApICnLIfUFijLFE7ESGgnJDSMLHtQY/0v6EORgf1EQpoiB+7U9qNxNgiGUtoP+7+6bRA/xcRD2ep LZKaGrMUnQEJa1YGskczikDEjWLodfnKwMpxBhxyVDjdEO8K0mJcoCgCqYgp5RQqgpAM7cQ6BOZ8 BUtJCpYP3jCimnFTkBZ7loerVBlTZQzaOOsuRfEM62NFMDebh8+1ivdVxPgChLTB96YYoRkUqBru 2L2iKmgLhLpzi00qeCj9x3FKhcRYXJ8PDWd/MUqC8FQhQXpGrDHGDDqDYd/A4HExEZCgOkxWLG6K TUdKCBI4pB0pHFWxAaqSIOS/ggwGmSwuWAb4AgWK0hicAZpQ87YbBbkvI2F6CwWOs1mZLaHOg9Rs Ei/kIHkqEgbEgovyOAuPdq2GF5pDSagXFILlYMcy2GFxJ5EKCiA28UepoOQVGxsbG1kpS2wLdvC8 nmGxBnPk/v8BZg0iYxtp+6nyfGe0ygk+8+Zh/DWtYeYHI1lOl/wSBqTlxb87ddt4VgVcQgTQRgmp F9llTbuQfOT+R8v3CKLvYwTXRA63lAa7SFdk3FxMtsBAUbatkLUhn+Os4u2bteteybdRkIZRVdQG vGFUfSQtFYiiqqqqKiqqijj9ZPSfsUTVE8Fxk7T9CIl35fQTs820TFTQ27MqeQfG0JEcIWyf9RaV nZl6/7Zfx+4NpPig5SMR/IYLbf7RafcMGNUH5Pq5RdgdAwMjvwG1FhQlyaS5IqebGM37IOG4444I VAqgWVOgEeEASVSR2KbFMbg+sqJpP5TiYdyvK4RjmaDoZZqd0aRayfxgvDHgZSvwGDaQjYg6M8Ej I+z5Ok8YDF0a7ncL+Z5bwQxGkD8Tn59QikyokQy917jCTvC4gq5Q9r/AnsmIjF9wvE6XAFyKdT6O azO6U3gyo6fHieLQKp2EPVYRQWUNIMekgCUeYZ+7kSUKT3wKQJGQAVkVSSZITGFJRAEtNSQMUhZB oWRCAhtcZ30THt2IwvjH1KPILaArwV97GCGhLAWTDM0li9SS1wse1kai83BJdJAUFswekYI8kG9g AyyNAgNB1oJRkOcmNQNRCN+uOuRGsJR7x9hfAxn44XKevrzGQgWjba5JeAIZ3RxNm2kNxbHqoj3x MYomCmjowqTcGqmGa4lxYGhaGHDCpNAZWHxSHWJdb5rSlEM36vTfVLm0A2jl2EGCYp/eQkS5K6zA FwWQippLZM/WdpnRmhDys72ZJugI72IhhpEBv3NasVgJo7v+0kqah0BFUg9BDVKCRUizMNYhd9mC IZzrmDwQWtSiqYpwS4a/06nuFtZxBnjASifZmEjR3GpUFLKJNQTujSVPzcH0mdp9MazgOkhFyFIS ez7tJZKyillPgdXCLM0BXKMZUJylEaJQHRjWT5IhK2i7OosOCwTQpFwG+hjam1xfOsFYBFQqMjW7 Kio2MbDcNK7QQWGD9mR+C/d4CBGdGQf4CaCPXx3oRRb7gFwhXa9/JARfN7sgKMNYNQy62MUCEYpB uaWxXKjXvuBUFnAhJKmYpG426JEUtz7y1s4alpYG+4ALgfMFcKSR9Ix6NRYGpjxRcX4bS2GEIaIK ihy16DMakESQQqmjwTSCIhtEIa94Z+MD3iR/Mz1veCdh7w2/e917ll5SIcKDT1CRoGhJWaQXojkh sFeNHCAlGfA5sw5i5GFwFbqSG0u9TMUNepJGP1+75P603UJZ8DRK+Ooj1HkLomsyRBDIVZD+gSrz 5wYrguvk0eVUVE6XCGIjKUEC3lQLg1Gz1kUSSo/13hdRILB7Q4KeMBFI+iZNAF4tliEZAiDEo4pY oqI5QS7FkO7ugMJ7LAdinOgs5LMDJmmXmAxuqIRWgvAaDshbJUKzAlJDFhJk02oYkJTGEn7EDPnS Qu/SXT3/ATNkMmUzANQ11JLTAEuPGgjETfajIi2xO9TyGYUh5hIQsZOsNwFGUDeCLyQYwOoC/yMM gF6ARmRAmjgyPg3o53JL2dZ8LCQ0HaKBHag+QMRcf03jnuNYHIaaEMDMB3XCsMaC46zYbWsADUIv 5xTQJEgpxQIzKs5tiMcSxMu1O2ouovzMNwgeBhW0sBniEKRRQFPUXdIHFCScYTjGR7ULFPcD37z7 OpUGOzr6ubhoJvo3Uv54Ji6AS4rJzy9EwLZ4EN9yYmxD39xcOCPA4sJGjj1Zm43GoQUdNgvivP+j AgKILzSwJyQTBjVgiIEq9BQB6u7hnns01pEKskDOHTYdDB4XxCpWBwOhOFkFmDYgcmI0EmPRa2Cw YMZcXlyHYDLmUwdrCxHTKCAGC8dK4smadOgbzkKO+tKomzJiBkpqECpehBkGcMyRliXFdoIol/Fp G1XnQiuACGH2DBpGE6DcYA4h6xQbwMeez9BgGxpbwv3bRARsyytYMw4jjKFyBiRuYBCExDIIBIOG azo106CGd/xEkCvDIYkjSg3NOtw9S1UU5KwydCOXmackcDBniW0+VdWpAtjS4ekDIjlAN4fn2Tnh tMi8BVK9GvvEdCRJgyiQHMsJWNJlUipT/0FNw2L4SylWPWc1mGRlbz0khsgBiQCgcc+ATCAwHE9o RLIqgwCiSWQ0+rMhLMHQXb9YiwBIK+bXmIIwGI7Cr9iTcBGZ444ANZrm1DglBVQmhGIoQXtDCWSw ODSkGJS0JRA5GJjGDMjwM1lcXEJBeed1CaISVad8PXh99nKeHy4kURqViMVBPEl/XszmGjRZq1Bb rG8419OkXpQYs7kYlA2BnvNqPMr0vEV9ojmjgiSp9hJDQ2DKwDIqZxRFEJoC5UA0LWB7+5WzgXYT 8zQpk2sGIWtrkG0atuagp7HiH7LbsuJqTPMpj2xtWcNbSNW8LWzFzSSxR+4r1ik44WNDShQbDtje d8WZYqmhNUmxah1LkqhChjfgxKN+HKEQzm7rAZiAGIK3HiBeG/QHzgIqLwCx2pppyQD5erXnaexa QLZdALES5ay8oNptCbTENCXX4Z8wbjVdBAlMFpCsUXkQqooGbHQbKMsYYaiwxxkKTMwBndwdA7wT XshCb4a97FA5bdDeAiZwM+KqLHXrjAahCoGzbDusJqMhDgbp0QV0NIMgIiyHMfOWXUJjEypfF/TQ AeKjS0HYEERBUcIEtDRTkOlETm1mt8m7lTj5txnB1VtDSnKm0tNqUxrvEVlWS2egdZa6V5UCkXub S9hteC/IgWZdcXLEyO+LSGWggkv0V3dfGNz4tZ7zvGF+zNFKAjkK5hkdqt/IayzigSguTQ8UIR8x tQjE9wxFS459JYUZ+Wu5gKNcmvOCIF+lDagszMITN48+eqkPdoQaHJI4BhchoTDGfnIGaaoxxqxP vHNNeFMWcQWYDwxBY9tQoKICsVGSQBY3PKcuHNO904JHUb57Pew9Dm5MJUyS7NNMxZGcuvdIZMgm kdevOhJmwM82EKZgURMpHd01CQUO9k3sLXQDMKw0pQ0wkKZGNvCzuIYDMU0FFiUMdRUCiJZezEEQ wW6mW2UeQ13jJk8OdQZkhTM3pZrYbQ61YvogH90BDMkkReLTTqpHbqzlxtbAoohNtm7MhFjFlNeA ltsVlZQTiBA/2EAiSlIjQboxnOFEGAOpHNdJCwNAwJ0Zl4rIQbEgPyD4kF40g+nHKpuNdDuXy50C DWNIA3MSF/b9GrZkJI+FDMg+s7wFYA1IR2tr0eSQA/x4hLtEIYBsgwH8BnhegkL9IiONN3TNYEPe hJdvG+p10UdtrQEoFbLepFr9gxkIDlU7tcnOfJnEUEEwjxSWvOHODyyqUtdLMYLGoANVLMVZjGGx uMY9Rwg8vhNMUQUd2DcKppImbNPAZA3RnkAjBoR6/Opk6J7LNtqIjBjJDf7PaeT1t64684OHbjOB eqz03bzVWzOAxCWEEoP1ErJAYdjGNkgGnrTiknYLFT3CRAPhE6vaGQ0Af3mSSYn/xdyRThQkFRpW N4A= --------------Boundary-00=_D6OSJQ8ZNBKZ0908PKYK Content-Type: application/x-bzip2; name="timing_csum_copy.5.tar.bz2" Content-Transfer-Encoding: base64 Content-Disposition: attachment; filename="timing_csum_copy.5.tar.bz2" QlpoOTFBWSZTWQA8358AW/x/7/+/ZUR///////////////8UAAAEKAEAAIACQAACCGA5vn3Y+dNa tYGw6j0CvWdKL13bpapOAvTy5apb1uwrbWzbrwbYBm+6fX3Xtgbex9dvds3d2Oz296vru8XzHPtu 2I+gZCjXxWjqHls3ocbt4rYePXu66vW6wvGO60EFAMbDkk6LY1tbtTGuqDnbIpp0BxEIevEvatab yq715sNRwUhvhJIIEyGJoNE0nppommp6MTU2p5RPRpNMmTamnomRp6mhpo0PUABoMgkhAICEaaBC aeqnjQaKPU8KbSHqaeoaMmgekAAAADIABKTNFFR+qaAAAAAAAaAaAAAAAAAAAACTSSEgmp5RMJ4i YmhoNGQZGmmgAGjIABoBkGgAABEkiTTAJU/1MJk9E9JpNNNPSbVPFPaI0mhk0yekn6KYyBtIaAZR 6CMECJIgIAjQAg0k2mk1PVNP9Sj9RtUP1T01GmnqGygAADEyNAAGj9wJ/8452fkPelSoQPy4LXnz /L6ljCj60HFZjhBKaEkYAzGCIGvUj4rAlJ3e7tyEroOiFvnJWHzzzDVhAr82ElF+4HVLyDA4yrAu CM2DDJDZ51pDNEUs8ND08K5fKIYEhhGuh3aBLkQIB+hxjUAS9+QKUsEICgSwin7zUAYAnjjztvo+ Uh+ksFHJEwCBAg+UTxAUpvnSUZTeIUpyEABwtiGMonThTpSiDz7w7bpIJ9YZAKIoKQEIiB37Kiig jCIozxqsKbk4LH8RgdR/CQwyxUyIPELCwCkVOAzrVygwpkkZwddBQtjBGHBOWiGDopOu4gZCkY7S wNZqZA1ClBEvrwhsifyTJQn8XfdDvv0F+GqU7cjBkA2oMdq5vdG/HQHUDIMBREiMhqWd0Q/fJ7Ei wIenEbW5pZTPjogFhW+kCggeddBloRh93j+Dhyn60MajrCJ5Z2bE2LrbPZU9lpdnFC5Womir7RIH VxCQchLeBMUoo2ssIcUGgl0DGW2AkEIpYGkgaRgHnUjQrBIC0QVjFEJAcY0QCEQUiaBsMQKRDJFQ YgWMiklRGaixGNCIRIgaSARQhkRkZBJhREsPIJsImSoW0lGSUgk+SihgmAO+QuDBGCIIiKDAokRJ E2mWNlpBBDIEA3yqREKMEQNgYCUKGzAKMh0d1uSyXMBk/nj36u6k4Pp2WL/JAw6i8gQn3k/lot9V 3QsDxUOs8wxNkxT+KZOgQ/XDNNFA/wNNKG5I1LVSRIerEN1jZYx1DALpRtIUyRG1UUGsKLFUnnzP 0nM9hqWLneNnUpgbe0oTr6xXIxPL5ct8vDETugeOoZk/Z1GkLzCpxSGY8s88Q9bOJKxQO8goDGBw cCZAMRCBkEAYH3jSjZy88Pf6dgYmRCbTBcuSL8aasDEkGYx/mMd/AOHalcX6XLKwMBVH9fucvGXb oJ2VvtGtQhLLnYgMxMH2WO+dI7IKHMkXCRxKkkKnn+0euSLlxwX01xDt407yCQxmMOGJBh2h4Dyq 4vOc5IyUOjtc1lMSNXTnMArihTqJzUh7A2QMgyHGLkEioMblTQzDdHfIP8lYrc3JmRICCQpuuLeU x5OkxMoQQOOSoeNEeYm4yJKdhk6s8rZi6zd7u0yAc3GFV7HQNSZI1z3ZILD8XMDFRwYpQGGRmibg vRMorqW7fCwuZIpwPkJqvwOiba4YYm939fhTiq7HUdkwfPVG3u/Gh8EskpuGqhEkTfYdEnxukWEx ewnqcHxnUHCaCZlztr29y4haZJroo443626UO35dx/QMuTF6coClCRErTHYTMjt4NneqKNOfmymA U5As5jCoKtcyqpbeuTrvTvzgr7KvBSnxB6aX9H19BhmqOOOzu3wwUger1CoUyBvhaGFDc6QMiwGB zrkMjLcjo43SsjcbpXsyOFKQrfAlJPkgiFTkpmEwY23YDzms05JgyD+cTkWfFKSk32pNQgQnwjga 77XPQ+NVgLPp0sD78hbEHVdVJK2LZ0cRmxDQMxjCCC6dTQkVw83uGMZCWZaGC4hhT1xMYWLSKkGU y1DEc4wcEDqPZ7qzckwUPhttBv8Ovq3l9BOwKhHu9kaubS4KSAwwwMVYcyMQxoHk5IIZr98dS67H rxEngiN0b3NCNDNldCEWwO+F8efW+eGK8cM2UvDkE8lZd68ROg9DczfQ21IjXseYmOzhjD8suF6Z j6eXH7s3XMUpmATEEiop6k9v4/p+NwN9WMC/2QhAuQjqO2l4cr36y9isJimUgIGcEggJawwokFUa AiK8w93xd+AH+bAEAyNhchkUfUyjlQC58BMnVppASwP/d5AvKpqhe+SOwSNBkeCMAtAqNQ4vFpRE OUwelQfOcI4+Yyd7uBrchPzzeMYnrhYTFPE6j3HcAL2EEbGKA7xADxjHWXlNiFiFERVtBFisVCCE IRGCpAgRUyAgtMXbShQJAI/fES4RWwAQFiBeiorBIYz0ui2Pfn0GH6VDRzfYTCi6DQBCEIZgKHDh xR+f6RvVFxcTGa3OHo7Di15nX8cByMiJvujg75GtWrLyYsHb2lLQH0dwQ9n7NJqIEIkMq0lBETA4 oFATIOmIbNo5IYcPi29kHEGOnx5p0UJtqkUwlAFKTkxVtnnOnv7rxCduEhCSECEGRxD/Hg1HEC8R BQyl2jb3dHOcprzp6ZDtRhOYQvEkGDaYzEKaSqfyx2nkWVHSrrOMG74bjD3kdJ1KJYg5UdY7PIxS 5FbTExlJRDotHU5TUIpGfT3RH1em/NUrYNxhQoQcyRdfzAxIog22obSmbjocN0eicMmCSGPvAY9j Xr2vVXsN89jPQZgzWdBhndEE8xHoGwSKAwNHqXUMbGRPbJXI44NCpKayKo7g9O5tiQWuNg/ESfIR uxudSJF9TagbCwDoYzOQuUjUwjHHWpYLop2CNeCDcVBg8htjvOfzvl5FSCRHp1DmUJyyuEdJXuzM w044i96ppMakZGUJItORGjwjiAE3YGytXDmz02ikDh9OdaQpVKGoybNyMYYUUocDi8DJ55zS7iWh ToOsu80Xo3ICyh1hzhRPaB7gPAd14Yl7QjzdR2av12xmSrEZzHohs2nkeI8lO2knCuRejqPCI0DA oJ4wSjBiQ72R6Mr1Tn2pn7TZBKjUAyz2bvJIt0rZhQWyPTIZN0sPoJ+AJ7n3HacXq+UN/ilDpOhI X60wS7eYnUc/T0jGcLs1C3XvwGEo0GIHjwrRyAwPFXLgnk+gO+MoR+wWMT99UywvhxrI7lqLoAeL tIu2hpoEP2pSKurUky08jsL8k1+/Jer6ZTMjVK955Bx21G7lRQN41+L1s1rn1tie5RVAGxxQUcmU Tkq3VhVDtOkVgPUprCKUbs0yTXt6beY7ujpkGzsHU2xJSdi/CVTGLxb0oxMUbTb4AeLZQ77VuNDx FgqdiOhZQE6Jr4BonL1T/oqQ23c9ra86sNaoPAMUadRTXK7PZnRBXeWgH4jtnw4jreSj2DFwU1of HG4pvHKloVdyXuYG5MpX45g8KMyMllaVKguBFNuvUF4Fgpq6zjbh3X/hCgoNKbg4SXMAg9/dybh+ RNmTScgnscoDEubOVZbVao1Z931V7/SI6Z4mjrWgkZi60o8CRbIkUymvq9i24zLj8bZznu3Yb7zH cUG3anJJS7o3toa7JgevHbp0Aws+/egCPj9wL4aiQjysnWapaBFgJtGc+o3ZJUZkbOZgRcS79sNc jqXI36ZowZDo2ZcOKRYylTrN3/L4H/jbo6OTpb7hOLTnJ5SpeTPasVl4k7sx1Hdo+24xCqU1zNc9 pyZ85vRikm2oO02lD6jEqsaBp1845j+Pi/ZXmz+Ht2Reg1BNj0exIujL+/TEvR25BYT97v7jqgbJ qTHls8S8pp59sDtR0cvZEZFyCZ6UVvCBDHrObzrRuHYYLGywgUyUTU2Lj25JcXCUbsDw4qFKqpmb IzDYc2fGyXZJBrBQ63UoGPF+ohTVjNQ7vkdkLkHNw+JGNHy2ti1Jl638d54WOO7xO1MdYEOzag2W dKRcZ09xlQcwCLsqlDxVaa8yoCywvGbA+bwjqWhhKtlNH0KyJVV8479HLou5hXyiEQfAGWrbh0XO M407Tj0bDm0d2zAMMeYPlMI+gpHMZbMLEjDlY8LJqfcKGnnqHQOs1tGBkHtLJokLz5fQUe2g4ZCo I9oYqOigHDPYMvBsMjxJ55Bexn6FyuUOEgcIRGWyOQpPtEr8EUB7PIY33DjrJZ4oxikRj7r8gjeR Kj3mZkIMx8Oel2LrPRPwHuFB8vk/qBPEYKsAU70hJ+xO1Pt1l0vaZH6kvvhseHZZSA3gl+E+/u0O c20xccz13C4y71K38RewHFzQ1K6lOIn2XsMTcVII1IAVEZCNBqCMKWwRsQBJQ+ont/TNTZFrAYyQ 2ERLbBFQgKFQEQh/vyycx3fajJvCHMqE3QWqDIsnAksMuAJOasgooyIiRiEUFIpBiApBiAiRSIk5 kKJFLAogLAO5R4qpRsMGMYQ15QS2huobKtDAPModzpSlBFwhIlBRRaH5EZo1SSwUECCDJCKBGCrA GEEQgMZWEwkPMs1BIiSRNUUiJAwtogcENFJpARCKCkmQTATEFksFGIWyQWEopFILEZUoImxMooLF IUiTBQYBiC0GaAgMKIChMZRkGQcBIYMCZBBBgiREJUESKFBWQMgEkTBAwUcAAYj1eBd5uyV90htA ThDqhvL4MuTw+5AhJBCCyQhBgYVDvBybdRRq0lHDv0XngTGniTaSG4Ni6BKD8LskSSGA8oQjkncF zAzMFLGZ4CE1QSnei1opJREQlagmOknLFmZFVFRbNs7KUubDudAigoKHNwcb78nWst1lxxJJJOk6 SEOQQQQOOIQiBFhCEOIQ4hEREKrS47SSIcckQ+OuC+8vKHHLVtObQMQTJlmcYJKHHGRaoROrVeko eyUIsr6KM/UxdFytNi44Yqph2JC4JEmJQRFETJQCYwd0ZwM2Xu8W7iM9zorTGEJI9JOMJEBEnfDN 86TLTnCnSa0OjVlMMzxYcsR8H+PQcEFpTxynPb+T43PCu3tqCaRFBdG31CSUGHsitEmn5UhqJfDF LCXsGsfrYHzCMDDfODZbbbaFDwduCeCFPJCh5OcA8CSbxUFLgNLXmkbCYApBmm6ALuA4DYbDv+ug DiAvLzvo6bVvsI3mPi7x7WxHqAYRctllr2xlaQZGSwIZHyjDE/rkRyiolluU3ZTJF0gsxQyQookR 4JrhjFVOsQyYZBsnJwcpPk8hNqqSuG35iOfrbxVjisnLy8ePIDx5ApWhGenX2zEpkOKUyOu9UINE iw8NxZg2w6SVtCZKJi9rTqSGZI+KuO8gwDePlLtbtOfSE6n6ScKDER3BsRPWAoxJEiJR5FFwCyAi sId3QUMgMkGQEgwE84793eYXkMMueJTMqRBXriBykR0LB0jw42mWaaEg2PaksnhftsMvSWNlq84f fBw4WCazPx8QS4c059/P7h+sCLEIkgkBIkIxYMSIwIIRNsDjAXv20L98BfPolCB78PTirg2Cf0M5 CBp4/AgdaCbM9JUE5zkm7SwadEh44Gy9jeH32CUvuE9UrBCB06RO4TADsIyqkKIMYAgy2kkSKo0F RZTVLEKYhUihClfm+HNYAI8rGQeDmGgPHuQMHvkBPFjvPKDJQO8RIxySMEuUlAbyjQNmZiGJHsJi Siy2IFFUtFNBQWLGcuzh4FvUzsIQXZtPjLk0AOxhRTJc4jQ4FWaRxfCbdRkQt7jQ/PYp966VIlSO xKckSO+T0hPvjOpqR4NhRQle2CwK8vOWPDIJDzilgxiUrCmn3kTAunZZTE7zR3Tv7oumnjptkE3J sDKMDBgYJuUtA4Av4Ca3AX2CiiAZ42gGwlGEqtGzE8OgdrOfgM5A5zSw1hTAZm5BIXQjaiL1znM4 ZhkUUU8wtFFBSnhctaNFpS0p4MpiYfGKZg0p2zMMLSlpS0paUtKWlNGYKKKYWiiiih3JxOJuQ22P InRxGPk/uPn77YUUlEImAXO8M+HXRqvQO0Ps7FxhyHIHpsGkUQePRKjED1KchfMdTVTzNaDBKMT7 0/pZbZjTqrmmqqpTkcwCKkD63Aj5qoGob6+IjtCocBggEPy8mH+BxMOQZz/lXyiGy5VvK/xeIbrX vhVvq1xTomwTknXMPgJdIJEgn8uh5NrseNU6QCCDjCokADqbiWMKp+/GUT9Lonp+tmEL61IZrHg4 DUgIHV+24Q+qCFLIn3IBWjtdxDwxDc0wv+MP6/Al3L8WDjLhoBPfMoPjeZcOCz3n4Z2ttQX4V7kg N5rSF9HvvgaBmbI1GlGH7b2bGaLY2EX4GCwI6bxA6vpAiCCEMdtnM3oTXoJo9Mz6wQ9Ej10gCHmx odM02ui76BXkHChVo+AK2QwBP27qHC5ihPb2/xHm4J9PzS3w15ua/qbRddp0gEUMyaIkEgn5usB4 cIaE8xnrSfXyqgKzgi4Ic+4XA7VN6NiyrgpDUVJsRlDnZWmc2PFLwERlL754LUGQy/ABiuNY2eRq nTKCH1zjbQoxdgu5b2N1ep6+B57z36CykIBDYFx7hVyhcZNvTpxwrWetSZOxlVluSceyllJwY82Y QmZE++tDkujPufMnD0gu7YivTBIsjLMalbgDKpR+e1DxZJ18CzJF7nrzkgYG7+7EiRaKqHGDtBTc JI95lehUmingUUJjtcNqVBdGlC114SOAqgDszDMqvEPo6CrEpGiZXauadxg2RNw17qHWlLDHX58E bNdqk5whchX6k7XQwKhGnOf6N+e3IK9BtlYOEPQIGiR54dlG9OD/p+n0SvA84GFatTK0NbXLpcKm PdkGI7SS84QkQQQWZFmmigdwmGmUWYByE5YxsHRQROQOHNIR0TGGaZQwqWkUlkKin6O2iv0P9TMk 45Ymm/shCydyc6CxfzJmgVBI4aw1vu2M7Y97PVTYKWGHBBqkXmqI4C8w59q4Ykiw3QJADnLOkJtp XvtQokxs4asQsFJKKaJ81MPNTQv7DocyFBdtYITtOgd53ktCdw5KbgzSmlrq2XvxnF53kkt0F6wh Twvn+i9w2lGyVJ33sbY7SRi91Hth5F9dmcF1CRlBLvUo2fuZ2XGne8HgRKdt9VhinG+AszmgcBso FdGgvjO8hT8EigBAizGC2GZiIFwFmQMW2lIlM67QVlwkSCRA9OCoQoRZimF3yHKG4WGGxYeAUoyF DejESdmsRk1k2jmu1H4lwrqyaH3mTnPNlTeEbMjTNTYyxnrd4zVVnlKJSlUKinQ0G0xLNs02rnAU I0Ss4i+rrLbLsrsVW3AOZ86YEXkMUytouUDMaqWrzU1aeZx4K7EkeYWdciXE6s/PpOQI6rCz0ZzR O7nW4IpV2br0jc4AF4dmXGM6YNiaZTScPMFK3zZnzyWSnTOcRKZRDJmGk7phq1gkQQQ3L02lrUJC FQj2H9vss3WcjZOTfhRuXilkiRMgDC1uc5aYnhuCXvg98TrNrRDIhENCJZ6CMvamY5McsUdInyzV YDXHAT53Z5i9de3FHL7msTxGNIkr81sWrjXqy0LPRbMlnZjdRIgArEMQZqKIRE50URlKFMtUL1CM hSDtMipAsJHnysRu270kjZA441ODRDursbxfaZMJly5jfEoqQJKj0E6WyLlHxS6dbqYVOvZy0XLM o6dGzDdXG8i9RrKH1FKHMMurgFMWVHBrJDd/XuLrBEp6yNTMNd951SLDZpaJoGxsRONqLFagqT0A RgRQRjB7xdFjIdiblxOHYCebHrB2ODgs3MAoaDhN9RNFwQow6sjtYcafzXYvX7gfdWhlGIGuMjKX tBsK0bjZgyCbvYOiyHcywNrUnN3PgsvKJefFlHdz+8JziZherBj8ITqxN4ljcoMJqKLgiR8pRU45 55cGEKOt9R/xwlx96GWAn4T0ih1fBTpjOakHzdEmXUNxYQTcfbRJ2zagR9f22n+jVEAwdNV1S+6h 8RtmEMwbgX3hYo9giSL5IEgUqIeUJA+MgH0BiG8OQPegQ8PkbgR8svYDrLrO9kexHNG4xcnYTl2n 0Q2H4w/V38XxgB/MpOuQSQIwkCQJCQeR99VPN5lYNw5fa+3c5z0KpnA/Xq2/Zmak+0e79tZ2cFry nzTeAWsobL+0cULW7FEtpaDq2HaQJzmXUDyV0TFoWI3E85y2yHUgzF3I2UDPB9fybyZeJyoY0A4h SZsCzupOsN0Imm8AKETcSkyxT3idiieQWhIPU8+IhmexhSLgom/U7dALnBDedavMMDiNlExD8hwc EzIvQepB22XYRW3NVP3Q/SZggYLzgNwyOoPoDCsgPKglLQ9scMMZMzG0CdEOFgDMc7DuvUCeyFUS layBEyoCZhJ9uaGza7G/wqUQHnRgD9v2AZmr8IPm+YHsCGHbPdAOXn8f2qabg6pEgmQeogMYg2Mi HMxov1fBxk2aR7IcITpLNQ2s3IBZRGTWXlSHBOicMem3HiwSWJxoB5oQLe8rAPFLXtpppxYli0pK hIcVZxNSFhexI5E7gFwUTcqljiMAYBEhDCzuTMQfdFqdQRB4QETGwExDDwNNygwxBxzuqk2htNgX o7QiHJBkAhgMT6rcVB8nYi26xd3swGFEEghl4GgdIeXqnac1BoSwFO5RMEtxEK4wWQHcEua3t9Ji Bg5ovi+ePMkgyDIEhDTv+wjlimXcI/A31bxdxAflQeUylhIGSOU4TQma2IaVyhjATJzjIzoO8SMJ CEEgMMfUECEAgQZI84PtODyJAiv5RoLhI2ru01SPpBwhH219HqiDU1JUKfZGS2/OyzAmIJzcPyT0 29JfpALRbkkGFeYtsdTFz4QfyhoAoQl1K9PDu3Qhc2H0BvqHjBJ1gTQK+8AaATXpNHWHMnq97tgm 1JY23c6LtvxpCG8muN5dXSCuNmm4mZwb7b30pt6QQ3/FGIwjIdBD5XJWHq95MxE5gQHiMZEREMkD w4QPvIbBLx4cQJ5QTDn5IOD2U/TmCrjBAsYCgCwwSKsKhg/P8+CRkKb+WQeRS98c/neyLGqfN7uI Q7fqSPWWAWZc+dkpuhe+RRGYL9VQTjsxKQdamYTyQUUwxD2yCSiiiBGAH4Q+68DIcOA4wCYFMeZN a743Bf78DEQNzd1DSUGns3LunnDdLHryEoH8fppQnFjbJYINS6J/A8Yub3hg9cjChpXbSKGLy5Ku 3mLN2Iau4flsGMD8QV7zHRCszpcA9IDomGOB7fBUhC5+0wgQDF4UB9nbcNdATBVNpHvgcw46MsHf mpCAGxhwHQdcCCwSGysWzBuu7sWF5YB8lzn7AI3NYdHzVPFgh1oubCaVSSW3mw4nl3lZ6gnvU6jA Y64xfAOlWAhqHSHiDBBAWACISAjEBxC8qVSgRCJFhBTdfxHr+xOHkOyWJB7wOapkxDoHX35C+FEy 54ku3BcYFL5MQZLfzJ0CYAE4e+O/2mBuqNcQ3pnOfJtLHtGSwSJ9A+HyttzraMDvPwgsN4nmFg+a MCYEhK9ZsQgHqz1DPzy/Tg8/tX34exEiLkYLCCDyCA0kECMQbIcRIkYo81sm5HeywIAnaEMchGMl zpGFg7goSiJELaajhB6lyGzxoAo3tibYMWIShoftPETLKLg7vQhZ0iZjuDhYaxmNXiCJrqUo0nVc Ao6AwiihVeMJw6Qu64/mGDAQ5MC7C3HSgiGWhO0icTBEgQQAgOY43Doi/cokXiL1bveTKDAMsUDg QihdhQ9FWBc9KLL8pgJATxq9k8aJjJJJSZjWA2Hb1JB9ual/plAm0zp2wdEkS9AlYbIgTGSl18Oi u1WkJQWC6Uq9bEQhBUwJBSmI2USIc71zaC2uFQqSTkmI1JYghko4GwaAM1owq21kIXLAQyXLRRe3 lmRDYlyBMhoTGbAyedlYZLbQr6CbyHmEvKIbAJPKNgWCExRFdYCm9H049siul8ho6AAaBv50OBgC LQL2EfT3U04BBnQhRAIpBIiwogFRS+7A7oN/IhS9SGSARmcGzvUI1HA6B7CQ6GSJCpCGDuwkRdRh DBegucgpCAGTZvB28MzhuOCTiO9Xq12etzHGhRxcEiZ79PdzdgwahhTPZpsVClU0CMGxwTGGJFqL nArZ8wsNQvFvEMdjS7wYUs23CQqfgZxjO0y1cfGK+KouTRwRdGatgKK2LZsGRUTairndmflVHGc5 vpN2DRDKbGTIoup5MZiZcEW2V81kPD0MJkK7bsGJTtdRFCj+dTwpI4F3MleTS4NXOQekAGN94mie NKBIQ6rtRySkmCwPLtRr8SR6jqLq26DIyBGoRFwtNnAuKf0AvTjFK3UMfEBAO6AgkQPd3Ji9QJzV 0Lbc0UdEigd2Aw1rlE6S1FF+cdnVcW962xQOq60cRvSWjhBNxfIMy2UwI0YwTLgbgRa+qBSqnEyC Z4xCJs/DgBgIeY7SwIGV/ACOgwFCG5KOEnYAJHZbK3CgkVP9YQ637lgYy9WnySQwyWuiBlnoVJIF hHMyHSMI7X5XJ8vxfaGHqmLuziwhqRD8q8KUuIdEMTz0Ht4ZkhyHaEbbUt4IJMMtpZxJcCiSHbOr NvYJIMc57tRbjCzice5Mnb3qjkexNn7wHP6gA+xdw7n9wIOiWzgdPsKTtd2DhlhjLgJLWo6wtQ9j AOSc8At9TKzv233PqKJzCIqv07ihQPHkmsHW1R0h20hUQ8RiDQm4cTc0+Cug5bw5YZg4cGUAYnaJ dPOG0cjicON7R3z26KOmJSXFucZ8hc4Bt5AwFwWeBjgl5EoKKLrekPAnWTmqiSWKXQPSYGwBjXPr BHnU1IXDOBoA4HGIU6VKGADrepqZX+YCw7AgGPigCD4kRLuGDM1BXLP1kEdAoNAMb5DALxYGIJA3 H2gHmYAQ+ZS4BvT0AedUDUA6iKHJJuVgJN7ny2/NMQNye8MhwydobWEicbjgDgRMw2iS6YiK4DiF 6DGjd8CTwIQ2MCoyHPDAS8BqJ0pDCSRkwEj5rBSLFgOSlgiokFBSiA+pBIHGw/ymDo5DRIE3FCXD N7Pv+/JwE1TKbKMwIQm9BLgViEsxhIow2b/04gmeCeScRQEBiIsjEURERBhEEikQYooIyRREUfd0 HxQckAsMSREiIJFIiBXrNifvy4MO1v52HDqG5/dAxA2KmwfNK5SD7K9x3P4+SAZPHAzi7PDygWg8 e8nPthzjsx7irARikWEiBtFIPqcocxMkkSwJa3sC2jEHfv5lEQkASKZFEDdgO370cX12G6CrMSG4 k3s2DpyhjLVU/XtSXpKEyx6XBMvysvwNgZQcsE3mIOkYpYq0Y2X6onzhdQF8DZMpmQJgZ6KZA78i dXWTtIDGBEiBISIeLEOpXh5KTicTRC0IMGMSEGP1Peu3xdzbahmhmOkDwntrvlhjJAu8aTNDyI4p tyDTp4fq61+s28DLyCJLOzeHyIHINgDwuwiQgSBAgh0wUOWDgSImfm9/RoBLWQlmnuIlEbhLoGKC YHkiPUG0ONDtzIs7R/EpQ/kRiTWTD1xTMbGwJh4xuLJygQIBnyZyCbCCzX19em3Nrv1bNsKMMTw/ a7jsczzcWzW1Gjo2JrmshuhIISFuLISgKWhKO0867nAfWxhuzLaDhcCBJOA5qJs6FCYwxAOZkEgk QQCYa0agbiGiYFFAaChuYgdR1CmJhhy5MGEFgoJQEy5UeCQJhicBoNG4GxIYaBIgtNwNSw3O1gBw CSQ0LAUh2iFsBQUBQiwgVMBNglmIxIux3FOdwxC9JiEcgzJULg5biyWUukQ2e251jzBKbAUmQmhj rxs0F0olUnCrJBLsCgTxUHRDYfgsxaiowL2yBMMgDYzAri6Qi1NBe9KhgM/oyDVX+zEZFSBAoDun nlXcJgJuplASLqqqEPAEpW9xdn7rFzjuiYz63eEwpxxO5faUJCHTUwtZUz3BsFjKDZF6sCNeKpaG AmiAOuihAuCqYDCg12s3Xcz7YS6imRvDA9wBLg2LUUUUgugJYoEhAHf0g7Bn3BmUGUz72ndl1nUQ uAPyNupvcggEnhAxPHQp5DOvOAGXRIaBEwNpCGZSibTgu6JiCXDL3/b9xAiRhgXyB3EOIZthJtX6 yBuIMLEkg3sgF1EhoEJRJEBkRigsUEYoLFjBjAYiQCggayLHsyQnb84DqRIwggjKFABlAshMIbYb 49M0pEiwwihEhz+Glm8A4nZaXxbwSTAKGRgBleliTe6gQylYTkDrOLsa0ZbqAk1hdcHBtnsAQns6 HF4zFSA0YCFI02cPvnBQ7zcWMhgtwrKgKVsKWSQH7yFRvFkWAQokG5QgwzJzAiq0kZIQgTvNyomg mfWnBUaTHLruYtxLiRGRBFkWSBzgJKcqdH2aG2Ehdg2gEMUySPXHY7K7MxNATMfOVAIgBAGwOLEG w1RIiQiwIowgCQNjuEDshwYXiEESBxaFP04QVok58AeRro4VUlFVgBM3XqH5fzOt6g413xZBuwgE qHl20MCOUdUqsAgZpag7bynAxTlb8SAZk12yYhziZTcBPj2wwmp7rziYXOAkCXAnxTIU2SEDclVS 80La/lgByV1MiZQsiwgsDGnmETAn5zuDDG05BOsE+VOwzVgLsVTAU1ATiLyi9AzyLiulI8IIQIsY CugcjEIJInLUpQvmnRTGBdv9EklJe6fZ8RLmts39YzE1TVL8b8QE8A/T3EOCUHb2sDXYdMOdPELn EpQ06uxW+L8DIxE4iP9Vi0REV2czIgVqXOcIMSgvbIzIoQp3nj6NQLOMoCIOG4AHVonDsV2eDJzh qlO5BgwfHsLuHpQ54IkyBDO5NQ6PniIeoRKohUKxagVkkrOR0zsVTmbxTaFJFYg60vrhBj9SfrQS QGXTg+mfJDIDtJnEnzVjUO6h6Bz1Q5gBt9yGaO8gM2j2oQJgJcN4kJoPIDxOwVVVVVwA6p0lNwQL 5IQwZLIgQZe8Zdw3pshogiRBjK1hZbCEVAae/kmAcENE0dgZcOI5IaDJkYyKFSwWE9AwAMho364I fAOhs7/8lekL7gy1TsTEAeN1/p4oUhy0TNbN5VGJGxahppKJSVfZ6/J5e/l8cnsAODSPyjzg7x0h 5D4FyOZTt76G4pLq4jxV5Uncsbr/Su4Mb8gpJIoQI50dYN0F3IpByJxbwItStlIt5AR/YETmVFRh KyWZAm+qW4w9pQ0LRtCiwYRGMVKo5iVFCICWBOJyxsHwvumBXS6oTZ4hp4HmzjH4xRGI2E4dtBSN EWrlWaGGCFCdedoCzB94Ic0Yq5NFZzPS1D1OeXuPgKuE/MbQSQIym0qpLb6vN10wTDnglyksl8DB mkCnMjpBagYQDlgFaZVYw1DsBN5k7OxLhPVDrTkGBV5DcHTobfVa+0kqTbKzogJ7C026P5rkjGrE C3iXgROSDCCU5VREyTGotjAk4cIwDle7kHJIiVme/ubMiHP1wFAsPLCTNH2CYVIeFGJFM7tY4kzU NQ3IVwFMA48rpjG39bqBwy0hjMCDQYAynNWJABgyJbPcEMts9fdD1BNV/dL49a0NkDIhAtycQ0Qw QyEwHep3QJ7QaMQK6E4sBLl0l9Kl3fb25BgllIlASonr2diRSiOIZFFpAwpQcaBTwi5JtMOJFyGd fcCfbATiakTkOZZ0iWjdwDEb/CfsZOR1ghxIsKEdY0vVMUbu4xYqFmlmTfIYFTJATVMyymZk2aiR DRrmiGQJ07UNukNum77BsKmzurhub7aJJwDDbhmkMQTBdwnaVsA2IlQHYRDOiAYHk4oVJAoBoIho OR7chggwJ85AHkBoZMO0gYUCYfMcDE52T3TgqkLwDj7dqe0FEwlFC4DMJzw6oJIcYIMfZr4VUsgI 8w7Q4TVFuEHjiugLFrJ0m4lNol8vYBYJDrCSdwIp4SVfV7/P7zfV/z6/rt+yN3/vs+f7O57Fm8Lf LzepIj2YkFfCBJEqBITiDhXaeKAQgHr8fxGfplBkEDg3/Hmm5dmIgcCKXRnz21ZDETUE4ABf80XA S/rE37AysVmGI/MT7GrmC0oBRwEjJLQyNwyJ6kHk+hMVh2hiQG+B6vjGtAnSLjY7op8UQvDGYqAx IumILCIAkCApvRHbP9oeVyJuGg6AT1FZjDpG/a4USg68N+MIQkmKAlMIJ0c42BoO9AuMShc5yA+B KPYC43DSD7hfbyYK4Z8EgHsBdlB5c/P/8CfBMgTUPRIUkInKtCUETrGJoQ4O1gCxIy+moxCc0jQS iYp7G2BLqwRB4P1AlIJ07SEKoKGBBK0iQkhPQNVXoQzgngkD0v6JLAwXVD3EtCD1tETUIlEOuxGi WFgxAoFsGZMKZDBEjMiTJUJCgMkIjZVyhQphhKRCwELBWQRMyGCUwzMsLKCCEYJcQpRgZVFkmAUk sZclAxkYYUJLMKZYUkwwSxMSgLP0soMOs02Sfmck2wJYT2pDQM75DdCQuUUiUBYIFKAgLEpoEwpK UpKIjJKYIUpSwpYWI1xhktVFVXJVygUQwGhTQ0EuhE/ZZKOtIj+6bTSiG0TLIm+IZp3o7Gb4ITj5 uLTV0kg3o8i17Nw6JR7S1xmF7DESjwhY4iXBLaVwEtQh1KJvB1dUU19IQkEhALB6IBwulMYp1ViR /9VKVKXqAEAmiDjsMB/xdyRThQkAA8358A== --------------Boundary-00=_D6OSJQ8ZNBKZ0908PKYK-- - 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/