FMS Digital Benchmarks

COMPAQ ES40 Benchmarks

	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

CPU Time is the total amount of User and System time used by all processors.
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.
I/O Wait Time is the total time spent waiting for I/O to complete that is not overlapped by asynchronous I/O.
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.
Overall Megaflops is the total number of floating point operations performed, divided by the Wall Time.
Parallel Speedup is overall increase in performance due to parallel processing.