Новые клиенты для OGR Налаштування

[Tamagoch]

Текущая серия:

==========================================================================
Version change log: $Id: CHANGES.txt,v 1.66 2009/06/03 11:29:22 andreasb Exp $
==========================================================================

2.9100
------

2.9109.518 fix: all: OGR-NG codebase fixes (#4295)
fix: all: OGR-NG incorrect node count after full restart
of combined stub (#4290)
imp: all: a kind of stress test for OGR-NG
imp: cellbe: faster OGR-NG SPU ASM core
imp: all: log errors to file during tests and buffer update
fix: x86: possible division by zero in cpuinfo
imp: x86: CPU detect and core select updates (#4297,#4299,#4301)
imp: x86: AMD Opteron/Phenom detection (#4326,#4256)
fix: all: logging issues with more then 26 crunchers (#4345)
imp: ppc: recognize more PowerPC processors (#4349)
imp: ppc: core selection for Power6 series (#4349)
fix: win64: only 32 processors were used (#4352)


2.9105-511 fix: ppc: Fixed scalar and hybrid OGR-NG cores (#4187)
imp: cellbe: detect linux kernel SPU scheduler (spufs) bugs
new: linux: runs-on-battery-power detection via sysfs

2.9104-510 imp: all: handle lack of a supported cpu/gpu more gracefully
imp: gpgpu: terminate on unsupported driver/library installations
imp: gpgpu: raise rc5-72 buffer limit to 10000
new: cuda: switch to CUDA 2.1 (Linux and Windows only)
new: cuda: bundle runtime library (libcudart.so.2/libcudart.dylib/
cudart.dll) with the released client
imp: cuda: log errors to logfile (if enabled)
new: x86: three OGR-NG SSE2 ASM cores from Craig Johnston (#4177)
imp: cellbe: faster OGR-NG SPU ASM core


Загрузить клиент -=- FAQ по настройке

-->> https://distributed.net/download/prerelease.php <<--


Windows 32bit
1 [x86/Zipped] v2.9109.518 2010-11-10 http | ftp
2 [x86/CUDA-3.1] v2.9109.518 2010-11-10 http | ftp

Windows 64bit
3 [AMD64] v2.9109.518 2010-11-10 http | ftp

Mac OS X/Darwin
4 [AMD64] v2.9109.518 2010-11-10 http | ftp

[Algon]

Это обычная 9600GT, даже не разогнанная.

(Show/Hide)

[Dec 16 16:16:57 UTC] 1 cruncher has been started.
[Dec 16 16:16:57 UTC] RC5-72: using core #0 (CUDA 1-pipe 64-thd busy wait).
[Dec 16 16:17:15 UTC] RC5-72: Benchmark for core #0 (CUDA 1-pipe 64-thd busy wait)
0.00:00:16.12 [214,986,510 keys/sec]
[Dec 16 16:17:15 UTC] RC5-72: using core #1 (CUDA 1-pipe 64-thd sleep 100us).
[Dec 16 16:17:35 UTC] RC5-72: Benchmark for core #1 (CUDA 1-pipe 64-thd sleep 100us)
0.00:00:17.07 [133,507,150 keys/sec]
[Dec 16 16:17:35 UTC] RC5-72: using core #2 (CUDA 1-pipe 64-thd sleep dynamic).
[Dec 16 16:17:55 UTC] RC5-72: Benchmark for core #2 (CUDA 1-pipe 64-thd sleep dynamic)
0.00:00:17.01 [212,875,564 keys/sec]
[Dec 16 16:17:55 UTC] RC5-72: using core #3 (CUDA 1-pipe 128-thd busy wait).
[Dec 16 16:18:13 UTC] RC5-72: Benchmark for core #3 (CUDA 1-pipe 128-thd busy wait)
0.00:00:16.20 [211,852,695 keys/sec]
[Dec 16 16:18:13 UTC] RC5-72: using core #4 (CUDA 1-pipe 128-thd sleep 100us).
[Dec 16 16:18:32 UTC] RC5-72: Benchmark for core #4 (CUDA 1-pipe 128-thd sleep 100us)
0.00:00:17.04 [176,322,332 keys/sec]
[Dec 16 16:18:32 UTC] RC5-72: using core #5 (CUDA 1-pipe 128-thd sleep dynamic).
[Dec 16 16:18:52 UTC] RC5-72: Benchmark for core #5 (CUDA 1-pipe 128-thd sleep dynamic)
0.00:00:17.04 [212,739,304 keys/sec]
[Dec 16 16:18:52 UTC] RC5-72: using core #6 (CUDA 1-pipe 256-thd busy wait).
[Dec 16 16:19:10 UTC] RC5-72: Benchmark for core #6 (CUDA 1-pipe 256-thd busy wait)
0.00:00:16.31 [207,958,032 keys/sec]
[Dec 16 16:19:10 UTC] RC5-72: using core #7 (CUDA 1-pipe 256-thd sleep 100us).
[Dec 16 16:19:29 UTC] RC5-72: Benchmark for core #7 (CUDA 1-pipe 256-thd sleep 100us)
0.00:00:16.46 [178,831,010 keys/sec]
[Dec 16 16:19:29 UTC] RC5-72: using core #8 (CUDA 1-pipe 256-thd sleep dynamic).
[Dec 16 16:19:49 UTC] RC5-72: Benchmark for core #8 (CUDA 1-pipe 256-thd sleep dynamic)
0.00:00:17.01 [206,958,474 keys/sec]
[Dec 16 16:19:49 UTC] RC5-72: using core #9 (CUDA 2-pipe 64-thd busy wait).
[Dec 16 16:20:08 UTC] RC5-72: Benchmark for core #9 (CUDA 2-pipe 64-thd busy wait)
0.00:00:17.06 [215,536,703 keys/sec]
[Dec 16 16:20:08 UTC] RC5-72: using core #10 (CUDA 2-pipe 64-thd sleep 100us).
[Dec 16 16:20:27 UTC] RC5-72: Benchmark for core #10 (CUDA 2-pipe 64-thd sleep 100us)
0.00:00:17.04 [176,322,332 keys/sec]
[Dec 16 16:20:27 UTC] RC5-72: using core #11 (CUDA 2-pipe 64-thd sleep dynamic).
[Dec 16 16:20:47 UTC] RC5-72: Benchmark for core #11 (CUDA 2-pipe 64-thd sleep dynamic)
0.00:00:17.06 [214,179,399 keys/sec]
[Dec 16 16:20:47 UTC] RC5-72: using core #12 (CUDA 2-pipe 128-thd busy wait).
[Dec 16 16:21:05 UTC] RC5-72: Benchmark for core #12 (CUDA 2-pipe 128-thd busy wait)
0.00:00:16.40 [175,266,341 keys/sec]
[Dec 16 16:21:05 UTC] RC5-72: using core #13 (CUDA 2-pipe 128-thd sleep 100us).
[Dec 16 16:21:25 UTC] RC5-72: Benchmark for core #13 (CUDA 2-pipe 128-thd sleep 100us)
0.00:00:17.04 [168,563,483 keys/sec]
[Dec 16 16:21:25 UTC] RC5-72: using core #14 (CUDA 2-pipe 128-thd sleep dynamic).
[Dec 16 16:21:44 UTC] RC5-72: Benchmark for core #14 (CUDA 2-pipe 128-thd sleep dynamic)
0.00:00:16.98 [173,125,628 keys/sec]
[Dec 16 16:21:44 UTC] RC5-72: using core #15 (CUDA 4-pipe 64-thd busy wait).
[Dec 16 16:22:03 UTC] RC5-72: Benchmark for core #15 (CUDA 4-pipe 64-thd busy wait)
0.00:00:17.06 [213,828,996 keys/sec]
[Dec 16 16:22:03 UTC] RC5-72: using core #16 (CUDA 4-pipe 64-thd sleep 100us).
[Dec 16 16:22:22 UTC] RC5-72: Benchmark for core #16 (CUDA 4-pipe 64-thd sleep 100us)
0.00:00:16.51 [213,127,368 keys/sec]
[Dec 16 16:22:22 UTC] RC5-72: using core #17 (CUDA 4-pipe 64-thd sleep dynamic).
[Dec 16 16:22:42 UTC] RC5-72: Benchmark for core #17 (CUDA 4-pipe 64-thd sleep dynamic)
0.00:00:17.01 [217,256,682 keys/sec]
[Dec 16 16:22:42 UTC] RC5-72: using core #18 (CUDA 4-pipe 128-thd busy wait).
[Dec 16 16:23:00 UTC] RC5-72: Benchmark for core #18 (CUDA 4-pipe 128-thd busy wait)
0.00:00:16.20 [177,176,592 keys/sec]
[Dec 16 16:23:00 UTC] RC5-72: using core #19 (CUDA 4-pipe 128-thd sleep 100us).
[Dec 16 16:23:19 UTC] RC5-72: Benchmark for core #19 (CUDA 4-pipe 128-thd sleep 100us)
0.00:00:17.01 [172,338,047 keys/sec]
[Dec 16 16:23:19 UTC] RC5-72: using core #20 (CUDA 4-pipe 128-thd sleep dynamic).
[Dec 16 16:23:38 UTC] RC5-72: Benchmark for core #20 (CUDA 4-pipe 128-thd sleep dynamic)
0.00:00:16.61 [180,355,125 keys/sec]