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COMPAQ ES40 Benchmarks

Machine Description

COMPAQ ES40 rack COMPAQ ES40

1.PCI cards, 2.Fans, 3.Diskette drive,
4.Removable media bays, 5.CD-ROM drive,
6.4-bay disk drive storage cages, 7.Control panel,
8.Fans, 9.CPUs, 10.Memory.

Model Number COMPAQ Alpha Server ES40
Number of Processors 4
Processor Type Alpha EV6 at 500 MHz
Operating System Digital UNIX
FMS Memory 0.5 Gbytes
Number of Controllers 4
Disks per Controller 3

Problem and Results

Code Used Example 11 Example 11 Example 11 Example 11 Example 11 Example 11
Date Started 02/15/2000 02/15/2000 02/15/2000 02/23/2000 03/10/2000 02/17/2000
Number of Equations 20,000 20,000 50,000 50,000 50,000 100,000
Number of Vectors 1 1 1 1 1 1
Matrix Sparsity Full Full Full Full Full Full
Matrix Symmetry Symmetric Symmetric Symmetric Symmetric Symmetric Symmetric
Data Type 16-byte Complex 16-byte Complex 16-byte Complex 16-byte Complex 16-byte Complex 16-byte Complex
FMS Parameter IALGOR 0 (Normal) 4 (Red. Ops.) 4 (Red. Ops.) 4 (Red. Ops.) 4 (Red. Ops.) 4 (Red. Ops.)
FMS Parameter IOTYPE 0 (Normal) 0 (Normal) 0 (Normal) 1 (RAW I/O) 1 (RAW I/O) 0 (Normal)
FMS Parameter MAXMD
8-byte words
67,108,864
(512 Mbytes)
67,108,864
(512 Mbytes)
100,663,296
(768 Mbytes)
100,663,296
(768 Mbytes)
402,653,184
(3,072 Mbytes)
402,653,184
(3,072 Mbytes)
CPU Time (Hr:Min:Sec) 3:37:20 3:02:35 45:24:03 44:52:48 45:06:49 355:47:40
Wall Time (Hr:Min:Sec) 57:11 48:52 11:45:16 11:37:22 11:34:34 93:33:48
I/O Wait Time (Hr:Min:Sec) 1:48 2:06 7:43 5:18 3:15 11:59
Megaflops per Processor 818 974 1,019 1,031 1,026 1,041
Overall Megaflops 3,109 3,639 3,938 3,983 3,999 3,958
Parellel Speedup 3.80 out of 4 3.74 out of 4 3.86 out of 4 3.88 out of 4 3.90 out of 4 3.80 out of 4

NOTES:

  1. CPU Time is the total amount of User and System time used by all processors.
  2. Wall Time is the elapsed time measured on a dedicated machine. This includes the time spent processing and any time spent waiting for I/O to complete.
  3. I/O Wait Time is the total time spent waiting for I/O to complete that is not overlapped by asynchronous I/O.
  4. Megaflops per Processor is the theoretical number of floating point operations performed, divided by the CPU time. When reduced operation algorithms are used, this is based on the number of floating point operations that would have been performed by the traditional algorithm.
  5. Overall Megaflops is the total number of floating point operations performed, divided by the Wall Time.
  6. Parallel Speedup is overall increase in performance due to parallel processing.

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Copyright © 2000 Multipath Corporation