WPrime is a multi-threaded maths calculation benchmark that counter-intuitively uses square roots rather than prime numbers. The standard benchmark uses 32 million numbers, calculating the square root via 'a recursive call of Newton's method for estimating functions'.
We're not entirely sure what that means either, but you can read the full blurb on WPrime's About page. What we do know is that WPrime scales well across multiple CPU cores, and can push a CPU to 100 per cent load on all its cores.
To run the benchmark, first visit the core count to check that WPrime will load all physical and logical cores, and then run the 32M test.
The results are expressed as a time taken to calculate the square root of the set of numbers (32 million in the standard test). A lower score is better.
WPrime32M
2 x AMD Opteron 6174
2 x Intel Xeon X5650
2 x Intel Xeon W5580
2 x AMD Opteron 2435
Core i7-980X Extreme Edition
2 x Intel Xeon X5482
2 x Intel Core 2 Extreme QX9775
2 x AMD Opteron 2382
Core i7-930
4 x Intel Xeon X7560
3.824
4.135
4.329
5.265
5.287
5.723
6.265
7.376
8.736
12.558
0
3
5.5
8
10.5
13
Time in Seconds (lower is better)
For explanation of what these numbers mean, head to the Conclusion.
Folding@home is the most successful distributed computing application at the moment, starting off life on CPUs and then spreading to GPUs in recent years.
Folding is a client-based distributed computing application that simulates protein folding to aid our understanding of complex diseases such as Alzheimer's, Mad Cow Disease (BSE), CJD, ALS, Huntington's, Parkinson's disease, and many Cancers and cancer-related syndromes. To add some interest to the furthering of scientific and medical research doesn't hold any interest for you, Stanford also has team- and user-based leaderboards, so folding is also a competition.
There are various folding clients available, depending on what hardware and software you are running. To make the full use of the workstation/server CPUs being tested we ran the SMP CPU client with the bigadv switch natively in Linux.
The client downloads work units (aka 'projects') from Stanford, and each work unit is worth a certain amount of points. We then monitor how long the client takes to fold several per cent of a work unit and from this calculate how many points per day the client will complete.
You can join the bit-tech and Custom PC folding team (currently ranked sixth in the world) by using the team number 35947. Your contribution is valued.
Folding@home
CPU SMP client with bigadv switch
4 x Intel Xeon X7560
2 x AMD Opteron 6174
2 x Intel Xeon X5650
4 x Intel Xeon X7460
2 x Intel Xeon W5580
2 x Intel Xeon X5482
114958
62792
62102
46231
43594
26564
0
25000
50000
75000
100000
125000
Points per day (higher is better)
Folding@home
CPU SMP client with bigadv switch
4 x Intel Xeon X7560
2 x AMD Opteron 6174
2 x Intel Xeon X5650
4 x Intel Xeon X7460
2 x Intel Xeon W5580
2 x Intel Xeon X5482
12.03
18.02
18.10
22.07
23.00
32.00
0
5
10
15
20
25
30
35
Minutes per frame (lower is better)
For an explanation of what these numbers mean, head to the Conclusion.