2019年9月2日月曜日

@0002yenak さんのBOINC計算効率 2019年8月 ( #BOINC credits efficiency)




Host-3109


Microsoft Windows 10 Professional x64 Edition, (10.00.18362.00)
GenuineIntel Intel(R) Core(TM) i7-4770S CPU @ 3.10GHz [Family 6 Model 60 Stepping 3]
GeForce GT 640 (1024MB)
Intel(R) HD Graphics 4600 (1629MB)
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@Home14e Lattice Sieve v1.08 (notphenomiix6)77467.710.06
15e Lattice Sieve v1.08 (notphenomiix6)67412.223.510
16e Lattice Sieve V5 v1.11 494045.461.665
SETI@HomeSETI@home v8 v8.05 570942.315.733
SETI@home v8 v8.20 (opencl_intel_gpu_sah)106697.647.419
WUProp@HomeData collect version 4 v4.20 (nci)149006.12.47



Host-3124


Linux Arch Linux Arch Linux [4.19.69-1-lts|libc 2.29 (GNU libc)]
GenuineIntel Intel(R) Pentium(R) CPU N3700 @ 1.60GHz [Family 6 Model 76 Stepping 3]
---
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@Home14e Lattice Sieve v1.10 521915.015.462
15e Lattice Sieve v1.10 714085.825.7116
16e Lattice Sieve V5 v1.10 4002384.471.3610
NumberFields@homeGet Decic Fields v3.00 (default)5443511.727.2322
WUProp@HomeData collect version 4 v4.25 (nci)2635798.72.3122

0 件のコメント:

コメントを投稿