I'll check the download sector and come back to the thread when I have some benchmark results ;-)

It means you actually use 6.03 stock app CPU code for processing taks. If you can't avoid fallback to CPU it's much better to use one of AK v8 opt apps for CPU processing than 6.08 in CPU mode.

And CPU usage with that tasks ?

with increased GPU temp it seems GPU works now.
Interesting what runtimes will be (wall clock ones)

CPU speed?
Well, CPU time for Win CUDA MB ~3-4 minutes.
And I more interesting in wall clock time....
Could someone with Linux CUDA run some of test WUs like PGxxx.wu or testwu_x.wu ?

downloaded http://lunatics.kwsn.net/index.php?module=Downloads;sa=dlview;id=18, results are like this:

root@cruncher:~# for i in 1 2 3 4 5 6 7 ; do cp testWU-$i work_unit.sah; rm stderr.txt; echo "starting testWU-$i"; time ./setiathome-CUDA-6.08.x86_64-pc-linux-gnu ; cat stderr.txt | grep "angle range"; echo;done
starting testWU-1

real    1m5.579s
user    1m3.372s
sys     0m0.216s
WU true angle range is :  0.604884

starting testWU-2

real    1m16.346s
user    1m14.065s
sys     0m0.276s
WU true angle range is :  0.443732

starting testWU-3

real    1m20.750s
user    1m18.493s
sys     0m0.268s
WU true angle range is :  0.425877

starting testWU-4

real    0m44.151s
user    0m41.959s
sys     0m0.184s
WU true angle range is :  1.279649

starting testWU-5

real    1m16.539s
user    1m14.309s
sys     0m0.232s
WU true angle range is :  0.439957

starting testWU-6

real    3m40.854s
user    3m38.670s
sys     0m0.200s
WU true angle range is :  0.033858

starting testWU-7

real    0m49.831s
user    0m47.635s
sys     0m0.192s
WU true angle range is :  0.775000

App was running with priority 0 and consuming 100% of one core, no other BOINC processes running. The system is a dedicated cruncher, C2Q6600 with GF9800GT.
If you need any other output from stderr.txt or result.sah, let me know

real is wall clock time, user is CPU time and sys is like kernel time or time spent interacting with the kernel, somehow like this...

I checked the KWSN testbench, it could need some small documentation, but I think I figured it out, its running now.
default-512 vs. AK_V8_linux64_ssse3 vs. setiathome-CUDA-6.08.x86_64-pc-linux-gnu

Will update this post when results are available...

edit:

I don't know what kind of work units these are, but they don't reflect what I've seen with current MB units.
The SSSE3 app is faster some times then my GPU in this bench. In real world performance on the project it is at least twice faster than the Q6600@3,2, except VLARs, of course... run times are attached in the text file...

my_science_app1 = AK_V8_linux64_ssse3
my_science_app2 = setiathome-CUDA-6.08.x86_64-pc-linux-gnu