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86%
Memory Errors
23.03.2016
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, if the second bit from the left is flipped from a 0 to a 1 (11011100), the number becomes 220. A simple flip of one bit in a byte can make a drastic difference in its value. Fortunately, ECC memory can detect
86%
Finding and recording memory errors
11.04.2016
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Lead Image © lightwise, 123RF.com
on disk; if the second bit from the left is flipped from a 0 to a 1 (11011100), the number becomes 220. A simple flip of one bit in a byte can make a drastic difference in its value. Fortunately, ECC memory
86%
Listing 1
21.08.2012
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/primary_db                                                                                                         | 4.6 MB     00:02 rpmforge                                                                                                                | 1.9 kB     00:00 sl
85%
Appendix – I/O Report from MPI Strace Analyzer
15.02.2012
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rewinddir 0 0 0 0 0 0 0 0 fsync 21 21 21 21 21 22 26 31 lseekm 3
85%
Appendix – I/O Report from MPI Strace Analyzer
26.01.2012
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rewinddir 0 0 0 0 0 0 0 0 fsync 21 21 21 21 21 22 26 31 lseekm 3
85%
Listing 5
21.08.2012
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.3.3-14.el6_3.x86_64.rpm                                | 2.2 MB     00:01 (3/4): php-common-5.3.3-14.el6_3.x86_64.rpm                             | 522 kB     00:00 (4/4): php-gd-5.3.3-14.el6_3.x86_64.rpm
85%
open64
01.08.2012
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| 4.3 MB 00:02 (2/2): nss-softokn-freebl-3.12.9-11.el6.i686.rpm | 115 kB 00
85%
Rethinking RAID (on Linux)
16.03.2021
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B/s (1444kB/s)(82.9MiB/60173msec); 0 zone resets     [ ... ] Run status group 0 (all jobs):   WRITE: bw=1410KiB/s (1444kB/s), 1410KiB/s-1410KiB/s (1444kB/s-1444kB/s), io=82.9MiB (86.9MB), run=60173-60173msec
85%
Unleashing Accelerated Speeds with RAM Drives
02.08.2021
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Lead Image © Vladimir Nenov, 123RF.com
the configuration and capabilities of memory DIMMs and revealed that my system has four DDR3 RAM devices of 2048MB configured at speeds of 1333MTps (mega transfers per second). Playing with RAM Drives To begin, you
85%
Hadoop for Small-to-Medium-Sized Businesses
06.05.2014
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: In Hadoop 1.x, all applications were dependent on the use of MapReduce. Whenever you hear people refer to the 0.23 branch (Figure 7), they are talking about Hadoop 2.2.x. The version number 2.2.0 refers

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