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社区首页 >问答首页 >您是如何根据规范的结果来分析xeon和超声波的?

您是如何根据规范的结果来分析xeon和超声波的?
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Server Fault用户
提问于 2013-08-15 13:50:32
回答 2查看 228关注 0票数 0

我正在尝试对xeon处理器和超小型IV+进行比较。

对于xeon,我有这样的结果:

思科UCS B200M3英特尔Xeon处理器E5-2660 (桑迪桥)

代码语言:javascript
复制
Hardware Vendor  System Result Baseline # Cores # Chips  # Cores Per Chip  Published Disclosure 
Bull SAS NovaScale R440 F3 (Intel Xeon E5-2660, 2.20 GHz) 47.6  44.5  16 2 8 Apr-2012 HTML CSV PDF PS Text Config 
Bull SAS NovaScale R460 F3 (Intel Xeon E5-2660, 2.20 GHz) 47.7  44.5  16 2 8 Apr-2012 HTML CSV PDF PS Text Config 
Bull SAS NovaScale T840 F3 (Intel Xeon E5-2660, 2.20 GHz) 47.4  44.3  16 2 8 Mar-2012 HTML CSV PDF PS Text Config 
Cisco Systems Cisco UCS C220 M3 (Intel Xeon E5-2660, 2.20 GHz) 48.3  45.0  16 2 8 Jul-2012 HTML CSV PDF PS Text Config 
Cisco Systems Cisco UCS C240 M3 (Intel Xeon E5-2660, 2.20 GHz) 48.5  45.2  16 2 8 Jul-2012 HTML CSV PDF PS Text Config 

对于超声IV来说,

代码语言:javascript
复制
Model   Processor Type  Processor   CPU Cores   No of Processors    Memory
    SUN FIRE V490   SUN ULTRASPARC IV+  1500    8.00    4.00    32768

硬件供应商系统结果基线#核#芯片#芯片每片公布太阳微系统太阳火V490 78.0 71.7 8 4 2 2007年4月2日HTML文本Config

看看这些结果,哪个结果表现得更好,如何读取这个输出?

这是规格输出: Intel Xeon处理器E7-4860。

代码语言:javascript
复制
Benchmark   Base # Copies   Base Run Time   Base Rate   Base Selected   Base Status Peak # Copies   Peak Run Time   Peak Rate   Peak Selected   Peak Status Description         
400.perlbench   80  988.746037  790.49624   1   S   80  827.236707  944.83232   1   S   SelectedIteration (base #3; peak #2)            
401.bzip2   80  1401.357446 550.8944    1   S   80  1329.663649 580.59792   1   S   SelectedIteration (base #3; peak #1)            
403.gcc 80  821.134215  784.28104   1   S   80  818.863431  786.45592   1   S   SelectedIteration (base #1; peak #1)            
429.mcf 80  627.881517  1162.00264  1   S   80  596.869458  1222.37784  1   S   SelectedIteration (base #3; peak #3)            
445.gobmk   80  929.814428  902.54568   1   S   80  883.392809  949.97376   1   S   SelectedIteration (base #1; peak #3)            
456.hmmer   80  606.72107   1230.21936  1   S   80  481.870461  1548.964    1   S   SelectedIteration (base #3; peak #1)            
458.sjeng   80  1111.901674 870.58056   1   S   80  1040.358199 930.4488    1   S   SelectedIteration (base #2; peak #2)            
462.libquantum  80  366.940844  4517.34936  1   S   80  366.940844  4517.34936  1   S   SelectedIteration (base #2; peak #2)            
464.h264ref 80  1437.900502 1231.2396   1   S   80  1444.884847 1225.28792  1   S   SelectedIteration (base #1; peak #1)            
471.omnetpp 80  900.233245  555.4116    1   S   80  840.44434   594.92336   1   S   SelectedIteration (base #2; peak #1)            
473.astar   80  974.344331  576.3876    1   S   80  974.344331  576.3876    1   S   SelectedIteration (base #3; peak #3)            
483.xalancbmk   80  575.587683  959.01984   1   S   80  575.587683  959.01984   1   S   SelectedIteration (base #1; peak #1)            

Intel Xeon Processor E5-2660 (Sandy Bridge)                                                     
Benchmark   Base Ref Time   Base Run Time   Base Ratio  Base Selected   Base Status Peak Ref Time   Peak Run Time   Peak Ratio  Peak Selected   Peak Status Description         
400.perlbench   9770    363.71793   26.861475   1   S   9770    308.821887  31.636359   1   S   SelectedIteration (base #1; peak #3)            
401.bzip2   9650    481.936537  20.023383   1   S   9650    473.177143  20.394054   1   S   SelectedIteration (base #2; peak #2)            
403.gcc 8050    275.243939  29.246784   1   S   8050    273.476945  29.435754   1   S   SelectedIteration (base #1; peak #2)            
429.mcf 9120    152.092584  59.963476   1   S   9120    152.092584  59.963476   1   S   SelectedIteration (base #3; peak #3)            
445.gobmk   10490   492.109626  21.316389   1   S   10490   455.186823  23.045483   1   S   SelectedIteration (base #3; peak #2)            
456.hmmer   9330    202.295578  46.120632   1   S   9330    197.804691  47.167739   1   S   SelectedIteration (base #3; peak #3)            
458.sjeng   12100   484.218283  24.98873    1   S   12100   486.068138  24.893629   1   S   SelectedIteration (base #2; peak #2)            
462.libquantum  20720   8.110392    2554.747046 1   S   20720   8.110392    2554.747046 1   S   SelectedIteration (base #2; peak #2)            
464.h264ref 22130   567.298128  39.009471   1   S   22130   463.737891  47.720923   1   S   SelectedIteration (base #3; peak #3)            
471.omnetpp 6250    252.260035  24.776021   1   S   6250    185.447273  33.702302   1   S   SelectedIteration (base #1; peak #2)            
473.astar   7020    262.741702  26.718256   1   S   7020    262.741702  26.718256   1   S   SelectedIteration (base #3; peak #3)            
483.xalancbmk   6900    151.761465  45.466087   1   S   6900    144.520671  47.744035   1   S   SelectedIteration (base #2; peak #3)            


    SUN FIRE V490   SUN ULTRASPARC IV+                                                  
Benchmark   Base # Copies   Base Run Time   Base Rate   Base Selected   Base Status Peak # Copies   Peak Run Time   Peak Rate   Peak Selected   Peak Status Description         
400.perlbench   8   1224.828996 63.81298961 1   S   8   891.155322  87.7063718  1   S   SelectedIteration (base #2; peak #3)            
401.bzip2   8   1580.039751 48.85953024 1   S   8   1318.300807 58.56023116 1   S   SelectedIteration (base #1; peak #3)            
403.gcc 8   1186.319051 54.28556504 1   S   8   1118.707572 57.56642899 1   S   SelectedIteration (base #2; peak #2)            
429.mcf 8   715.023723  102.0385725 1   S   8   714.701975  102.0845087 1   S   SelectedIteration (base #3; peak #2)            
445.gobmk   8   1181.380568 71.03553442 1   S   8   1001.299034 83.8111265  1   S   SelectedIteration (base #1; peak #3)            
456.hmmer   8   1061.728244 70.30047512 1   S   8   1055.574115 70.71033567 1   S   SelectedIteration (base #3; peak #1)            
458.sjeng   8   1527.577971 63.36828747 1   S   8   1415.486478 68.38638271 1   S   SelectedIteration (base #1; peak #1)            
462.libquantum  8   1289.56188  128.5397797 1   S   8   1278.533905 129.6484977 1   S   SelectedIteration (base #2; peak #1)            
464.h264ref 8   1757.491311 100.7344952 1   S   8   1543.499756 114.7003745 1   S   SelectedIteration (base #1; peak #2)            
471.omnetpp 8   1007.226126 49.64128581 1   S   8   947.26431   52.78357843 1   S   SelectedIteration (base #2; peak #3)            
473.astar   8   871.046418  64.47417593 1   S   8   871.046418  64.47417593 1   S   SelectedIteration (base #2; peak #2)            
483.xalancbmk   8   677.614178  81.46228605 1   S   8   677.614178  81.46228605 1   S   SelectedIteration (base #3; peak #3)            
EN

回答 2

Server Fault用户

发布于 2013-08-15 14:12:43

这不是一个简单的问题,不同的芯片在不同的任务上会做得更好。通常,对于温和的使用,纯计算英特尔将得到更好的价格/性能,但Sparc可以超过它,特别是在高端多线程进程,需要高并发/低延迟。

如果你不知道你需要,否则,你可能想坚持英特尔,在你开始研究奇异的硬件(好,太阳不是完全异国情调.)你需要找出你的瓶颈所在。如果您的带宽和延迟受限于您的存储子系统,那么世界上所有的处理能力都不会使您跑得更快。

票数 1
EN

Server Fault用户

发布于 2013-08-15 15:03:07

了解这将如何影响应用程序的唯一方法是在不同平台上对应用程序进行实际基准测试。反正你也不会运行同样的二进制文件。为Intel arch重新编译应用程序,并在工作站上运行它以获得一些性能数字。然后将工作站与某些服务器规范进行比较。

票数 1
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页面原文内容由Server Fault提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://serverfault.com/questions/531243

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