@0002yenak さんのBOINC計算効率 2020年10月 ( #BOINC credits efficiency)

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Host-3109

Microsoft Windows 10 Professional x64 Edition, (10.00.18362.00)
GenuineIntel Intel(R) Core(TM) i7 CPU 920 @ 2.67GHz [Family 6 Model 26 Stepping 5]
GeForce 9600 GT (512MB)

プロジェクト名	アプリ名	処理時間(秒)	計算効率(credit/hour)	処理数
NFS@Home	14e Lattice Sieve v1.08 (notphenomiix6)	3608.8	35.9	1
	15e Lattice Sieve for smaller numbers v1.08	59480.5	37.3	14
	15e Lattice Sieve for smaller numbers v1.08 (notphenomiix6)	7470.4	42.4	2
	15e Lattice Sieve v1.08 (notphenomiix6)	90314.4	28.1	16
	16e Lattice Sieve V5 v1.11	681704.6	83.8	122
	16e Lattice Sieve for smaller numbers v1.11	38123.4	51.9	11
WUProp@Home	Data collect version 4 v4.20 (nci)	124621.5	2.4	6

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Host-3124

Linux Manjaro Linux Manjaro Linux [5.4.72-1-MANJARO|libc 2.32 (GNU libc)]
GenuineIntel Intel(R) Pentium(R) CPU N3700 @ 1.60GHz [Family 6 Model 76 Stepping 3]
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プロジェクト名	アプリ名	処理時間(秒)	計算効率(credit/hour)	処理数
NFS@Home	14e Lattice Sieve v1.10	50149.1	20.7	8
	15e Lattice Sieve for smaller numbers v1.10	435517.7	33.1	91
	15e Lattice Sieve v1.10	637963.2	25.3	102
	16e Lattice Sieve V5 v1.10	3731814.6	61.6	491
	16e Lattice Sieve for smaller numbers v1.10	394998.8	42.4	93
NumberFields@home	Get Decic Fields v3.00 (default)	5402220.7	29.5	402
WUProp@Home	Data collect version 4 v4.25 (nci)	2678383.9	2.3	124